WO2021035719A1 - Signal transmission method, device and system - Google Patents

Abstract

Disclosed are a signal transmission method, device and system, relating to the field of wireless communication. The method comprises: receiving or sending at least two target signals, wherein the at least two target signals are signals sent by means of at least two target configurations for the same original information; and sending the same original information by means of the at least two target configurations so that the wireless signal receiving device can receive a plurality of target signals transmitted in the current communication environment by means of a plurality of target configurations, wherein the plurality of target signals can be used to optimize an ML model in a wireless signal receiving device, thereby helping to improve the accuracy of a training result output by the ML model.

Description

Signal transmission method, device and system Technical field

This application relates to the field of wireless communication, and in particular to a signal transmission method, device and system.

Background technique

With the development of science and technology, artificial intelligence technology has been widely used in information and communication technology. The machine learning technology in artificial intelligence technology can be applied in the field of wireless communication to train the scheduler of the base station, so that the base station can realize reasonable wireless resource allocation.

However, in related technologies, the signal training set used by the machine learning model for training the scheduler is historical data, or the training result output by the machine learning model based on the historical data. The signal training set has poor flexibility and is difficult to adapt to the real-time communication environment of the base station and the terminal, resulting in inaccurate training results.

Summary of the invention

The embodiments of the present application provide a signal transmission method, device, and system, which can be used to solve the problem of inaccurate training results obtained by training a scheduler of a base station in related technologies. The technical solution is as follows:

In one aspect, a signal transmission method is provided, and the method includes:

At least two target signals are received or sent, where the at least two target signals are signals sent using at least two target configurations for the same original information.

The target configuration is a combination of a set of scheduling parameters and target parameter values of the scheduling parameters.

Optionally, the target configuration is determined according to at least one of the following methods:

The target configuration is predefined;

The target configuration is determined according to the first higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the second higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the first DCI;

The target configuration is a candidate configuration determined from a plurality of predefined configurations according to the third high layer signaling, and the candidate configuration is determined in the candidate configuration according to the second DCI.

Optionally, the target configuration includes at least two scheduling parameters, and the target configuration is determined according to the first higher layer signaling and includes:

The scheduling parameters in the target configuration are determined according to the first higher layer signaling;

Or, the target parameter values of all the scheduling parameters in the target configuration are determined according to the first higher layer signaling,

Alternatively, the target parameter values of some of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, and the target parameter values of other partial scheduling parameters are predefined.

Optionally, the scheduling parameters of the target configuration include at least one of the following:

Modulation and Coding Scheme (MCS), Transport Block Size (TBS), transmission waveform, power parameters, antenna port (Antenna Port), precoding (precoding), number of layers, Reference Signal (RS) parameters, Band Width Part (BWP), parameter set (numerology), SubCarrier Spacing (SCS), and Cyclic Prefix (CP).

Optionally, the target configuration includes MCS and target parameter values of MCS,

At least one of the at least two target signals is a signal that uses a target MCS to transmit the original information;

The target MCS is the MCS whose index number is the target parameter value in the MCS index table.

Optionally, the target configuration includes MCS, TBS, and first target parameter values of MCS and TBS,

At least one of the at least two target signals is a signal that uses target MCS and TBS to transmit the original information;

The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, antenna ports, and second target parameter values of antenna ports,

At least one of the at least two target signals is a signal that uses target MCS and TBS as the original information, and a target antenna port for transmission;

The target antenna port is the antenna port whose index number is the second target parameter value in the antenna port index table, and the target MCS and TBS are MCS and the MCS whose index number is the first target parameter value in the TBS index table And TBS.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, precoding, number of layers, and third target parameter values of precoding and number of layers,

At least one of the at least two target signals is a signal that uses target MCS and TBS, and target precoding and number of layers to transmit the original information;

The target precoding and the number of layers are the precoding and the number of layers in the precoding and layer number index table for the third target parameter value, and the target MCS and TBS are the index numbers in the MCS and TBS index table MCS and TBS of the first target parameter value.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, a transmission waveform, and a fourth target parameter value of the transmission waveform,

At least one target signal of the at least two target signals is a signal that uses target MCS and TBS and target transmission waveforms to transmit the original information;

The target MCS and TBS are MCS and TBS whose index numbers in the MCS and TBS index table are the first target parameter value, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, a transform precoder configuration, and a fifth target parameter value of a transform precoder configuration,

At least one of the at least two target signals is a signal that uses the target MCS and TBS as the original information, and the target transform precoder is configured for transmission;

The transform precoder is configured to send the transmission waveform, the target transform precoder is configured as a transform precoder whose fifth target parameter value configured by the transform precoder is enabled or disabled, and the target MCS and TBS is the MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, numerology and sixth target parameter values of numerology,

At least one of the at least two target signals is a signal that uses target MCS and TBS and target numerology to send the original information,

The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table, and the target numerology is the numerology whose index number is the sixth target parameter value in the numerology index table.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, sixth target parameter values of numerology and numerology, BWP and seventh target parameter values of BWP,

At least one of the at least two target signals is a signal that uses target MCS and TBS, target numerology, and target BWP to send the original information;

The target MCS and TBS are MCS and TBS in the MCS and TBS index table whose index number is the first target parameter value, and the target numerology is the numerology whose index number is the sixth target parameter value in the numerology index table, The seventh target parameter value of the BWP corresponds to the target BWP.

Optionally, the scheduling parameters of the target configuration include first target parameter values and power parameters of MCS, TBS, MCS, and TBS,

At least one of the at least two target signals is a signal that uses target MCS and TBS and target power parameters to transmit the original information;

The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the original information includes a known set of bits.

Optionally, the set of bits is a set of randomly generated bits.

Optionally, each of the target signals is respectively transmitted in at least two frequency domain units.

Optionally, the at least two target signals are respectively transmitted in at least two time domain units.

Optionally, the at least two target signals are signals sent using at least two target configurations for the same original information, including:

The at least two target signals are signals generated by using at least two target configurations for bits of a specified length in the same original information;

Wherein, the specified length is predefined, or the specified length is configured according to higher layer signaling, or the specified length is calculated and determined according to a specified method.

Optionally, the original information and target information form a set of training samples of the machine learning model. When the original information includes a known set of bits, the target information includes a set of target bits, and the target bits are a set of bits generated after a received target signal is processed by the signal receiving end using the target configuration. .

In another aspect, a device for sending wireless signals is provided, and the device includes:

The sending module is used to send at least two target signals,

The at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the device further includes a processing module configured to determine the at least two target configurations.

Optionally, the device includes a receiving module, the receiving module is configured to receive first high-layer signaling, and the processing module determines the target configuration according to the first high-layer signaling;

Alternatively, the receiving module is configured to receive second high-layer signaling, and the processing module determines a target configuration from a plurality of predefined configurations according to the second high-layer signaling;

Alternatively, the receiving module is configured to receive a first DCI, and the processing module determines a target configuration from a plurality of predefined configurations according to the first DCI;

Alternatively, the receiving module is configured to receive the third higher layer signaling and the second DCI, the processing module determines the candidate configuration from a plurality of predefined configurations according to the third higher layer signaling, and the processing module determines the candidate configuration according to the The second DCI determines a target configuration in the candidate configuration.

Optionally, the processing module determines all scheduling parameters in the target configuration according to the first higher layer signaling,

Alternatively, the processing module determines the target parameter value of some scheduling parameters in the target configuration according to the first high-layer signaling, and the target parameter values of other partial scheduling parameters are predefined.

In another aspect, a wireless signal receiving device is provided, and the device includes:

The receiving module is configured to receive at least two target signals, where the at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the device includes a processing module, and the processing module is configured to generate first high-layer signaling;

Or, the processing module is used to generate the second higher layer signaling;

Alternatively, the processing module is used to generate the first DCI;

Alternatively, the processing module is used to generate the third higher layer signaling and the second DCI.

Optionally, the device further includes a sending module, and the sending module is configured to send the first higher layer signaling;

Or, the sending module is used to send second higher layer signaling;

Or, the sending module is used to send the first DCI;

Alternatively, the sending module is used to send the third higher layer signaling and the second DCI.

In another aspect, a signal transmission system is provided, the system includes a wireless signal sending device and a wireless signal receiving device, the sending device is the above-mentioned wireless signal sending device, and the receiving device is the above-mentioned wireless signal receiving device Device.

In another aspect, a device for sending wireless signals is provided, and the device includes a transmitter,

The transmitter is used to send at least two target signals,

The at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the device further includes a processor, and the processor is configured to determine the at least two target configurations.

Optionally, the apparatus includes a receiver, the receiver is configured to receive first high layer signaling, and the processor determines the target configuration according to the first high layer signaling;

Alternatively, the receiver is configured to receive second high-layer signaling, and the processor determines a target configuration from a plurality of predefined configurations according to the second high-layer signaling;

Alternatively, the receiver is configured to receive a first DCI, and the processor determines a target configuration from a plurality of predefined configurations according to the first DCI;

Alternatively, the receiver is configured to receive third layer signaling and the second DCI, the processor determines candidate configurations from a plurality of predefined configurations according to the third layer signaling, and the processor determines the candidate configuration according to the The second DCI determines the target configuration in the candidate configuration.

In another aspect, a wireless signal receiving device is provided, the device includes a receiver,

The receiver is configured to receive at least two target signals, and the at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the apparatus includes a processor, and the processor is configured to generate first high-layer signaling;

Or, the processor is used to generate second high-level signaling;

Or, the processor is used to generate the first DC;

Alternatively, the processor is configured to generate the third high layer signaling and the second DCI.

Optionally, the device further includes a transmitter, and the transmitter is used to send the first higher layer signaling;

Or, the transmitter is used to send the second higher layer signaling;

Or, the transmitter is used to send the first DCI;

Alternatively, the transmitter is used to send the third higher layer signaling and the second DCI.

In another aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores at least one instruction, and the at least one instruction is used to be executed by a processor to achieve the foregoing and receiving or sending at least two target signals. Related signal transmission methods.

In another aspect, a chip is provided, the chip includes a programmable logic circuit and/or program instructions, when the chip is running, it is used to implement the above-mentioned signal transmission method related to receiving or sending at least two target signals.

On the other hand, a computer program product is provided. The computer program product includes one or more computer programs. When the computer program is executed by a processor, it is used to realize the above-mentioned related to receiving or sending at least two target signals. Signal transmission method.

The beneficial effects brought about by the technical solutions provided by the embodiments of the present application include at least:

The wireless signal sending device uses at least two target configurations to send the same original information, so that the wireless signal receiving device can receive multiple target signals transmitted in the current communication environment using multiple target configurations. The target signal can be used to optimize the ML model in the wireless signal receiving device, which helps to improve the accuracy of the training result output by the ML model.

Since the original information and target configuration are known to the wireless signal receiving device, the wireless signal receiving device can determine the accuracy of the training result output by the ML model based on the original information, target configuration, and the received target signal It is helpful to optimize the ML model.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained from these drawings without creative work.

Fig. 1 is a schematic diagram of an implementation environment provided by an exemplary embodiment of the present application;

Fig. 2 is a schematic diagram of an implementation environment provided by another exemplary embodiment of the present application;

Fig. 3 is a schematic diagram of an implementation environment provided by another exemplary embodiment of the present application;

FIG. 4 shows a flowchart of a signal transmission method provided by an embodiment of the present application;

FIG. 5 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 6 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 7 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 8 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 9 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 10 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 11 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 12 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 13 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

FIG. 14 shows a flowchart of another signal transmission method provided by an embodiment of the present application;

FIG. 15 shows a flowchart of still another signal transmission method provided by an embodiment of the present application;

FIG. 16 shows a block diagram of a wireless signal sending device provided by an embodiment of the present application;

FIG. 17 shows a block diagram of another wireless signal sending device provided by an embodiment of the present application;

FIG. 18 shows a block diagram of another wireless signal sending device provided by an embodiment of the present application;

FIG. 19 shows a block diagram of a wireless signal receiving apparatus provided by an embodiment of the present application;

FIG. 20 shows a block diagram of another wireless signal receiving apparatus provided by an embodiment of the present application;

FIG. 21 shows a block diagram of still another wireless signal receiving apparatus provided by an embodiment of the present application;

FIG. 22 shows a block diagram of still another wireless signal receiving apparatus provided by an embodiment of the present application;

FIG. 23 shows a block diagram of a wireless signal sending apparatus provided by an embodiment of the present application;

Fig. 24 shows a block diagram of a wireless signal receiving apparatus provided by an embodiment of the present application.

detailed description

In order to make the objectives, technical solutions, and advantages of the present application clearer, the implementation manners of the present application will be further described in detail below with reference to the accompanying drawings.

Artificial Intelligence (AI) has been widely used in the Information and Communication Technology (ICT) industry. In particular, machine learning (ML) technology has solved many previously unsolvable problems in the fields of image recognition and speech recognition. Since mobile communication technology is generally based on a relatively complete theoretical model, the use of "data-driven" ML algorithms in communication systems has always been relatively conservative.

However, with the rapid increase in flexibility and complexity of the fourth-generation mobile communication technology (4th-Generation, 4G) and the fifth-generation mobile communication technology (5th-Generation, 5G) system, some aspects of the traditional mobile communication process The "imperfections" of these steps have gradually emerged. Optimizing the performance of these steps through the "data-driven" ML method and supplementing traditional wireless communication theories and solutions has become a very attractive development direction in the current wireless communication development. .

When applying ML technology in future wireless communication systems, due to the greater complexity of ML training, it is necessary to train the basic ML model "offline" before using it in the communication process. However, since the channel environment, deployment environment, and service requirements of wireless terminals are changeable, it is difficult to form a "universal" basic ML model suitable for changing communication environments. For the current communication environment of each terminal, the basic ML model needs to be optimized through "online" training. "Online" ML training refers to training an ML model that conforms to the communication environment based on the current communication environment of each terminal. However, there is no clear plan for the specific method of "online" ML training for wireless communication systems. There is no corresponding solution to the problems of how to set up a training set that can be used for "online" ML training.

Fig. 1 is a schematic diagram of an implementation environment provided by an exemplary embodiment of the present application, and the implementation environment describes uplink transmission. The implementation environment includes a base station 110 and a terminal 120, and wireless communication can be performed between the base station 110 and the terminal 120. The base station 110 is provided with an uplink scheduler and an ML model, and the ML model can be used to train the uplink scheduler. The base station 110 is a receiving device of wireless signals, and the terminal 120 is a sending device of wireless signals.

The terminal 120 obtains the original information, and the terminal 120 uses at least two target configurations to send the original information to the base station 110, that is, the terminal 120 sends at least two target signals to the base station 110. The at least two target signals are signals sent using at least two target configurations for the original information, and the target signals are uplink wireless signals. The content of the original information is known to both the base station 110 and the terminal 120, the original information may be a set of preset bits, and the content of at least two target configurations used are also known to the base station 110 and the terminal 120. The at least two target signals are used to train the ML model in the base station 110. Wherein, when the original information is a set of preset bits, the set of preset bits may include at least one bit. The target configuration may be a configuration that is used to allocate resources for carrying wireless signals.

Fig. 2 is a schematic diagram of an implementation environment provided by another exemplary embodiment of the present application, and the implementation environment describes downlink transmission. The implementation environment includes a base station 110 and a terminal 120, and wireless communication can be performed between the base station 110 and the terminal 120. An ML model is set in the terminal 120, and the training result output by the ML model is used to optimize the downlink scheduler in the base station 110. The terminal 120 is a wireless signal receiving device, and the base station 110 is a wireless signal sending device.

In some embodiments of the present application, the base station 110 obtains original information, and the base station sends the original information to the terminal 120 using at least two target configurations, that is, the base station 110 sends at least two target signals to the terminal 120. The at least two target signals are signals sent using at least two target configurations for the original information, and the target signals are downlink wireless signals. The at least two target signals are used to train the ML model in the terminal 120. For the related description of the original information and the target configuration, reference may be made to the related description of FIG. 1, and details are not repeated in the embodiment of the present application.

After the terminal 120 trains the ML model in the terminal 120 based on the received at least two target signals and obtains the training result, the training result may be sent to the base station 110. The base station 110 receives the training result sent by the terminal 120, and optimizes the downlink scheduler in the base station 110 based on the training result.

Fig. 3 is a schematic diagram of an implementation environment provided by another exemplary embodiment of the present application. This implementation environment includes two adjacent terminals, namely a first terminal 121 and a second terminal 122, and this implementation environment describes a device-to-device (D2D) communication technology. In D2D communication technology, each of the two adjacent terminals can be either a wireless signal transmitting device or a wireless signal receiving device.

In a transmission link, the first terminal 121 is a wireless signal sending device, the second terminal 122 is a wireless signal receiving device, and the ML model is set in the wireless signal receiving device, that is, the second terminal 122 for training the second terminal. For the scheduler of the second terminal 122, the related process can refer to the related description of the embodiment shown in FIG. 1 above. In other alternative implementations, the wireless signal sending device, that is, the first terminal 121 is provided with a scheduler, the ML model is set in the wireless signal receiving device, and the wireless signal receiving device trains based on the received wireless signal. ML model and send the training result to the wireless signal sending device so that the wireless signal sending device can optimize the scheduler of the wireless signal sending device based on the training result. The related process can refer to the correlation of the embodiment shown in Figure 2 above. description.

Wherein, in the implementation of the implementation environment, whether the terminal is a wireless signal sending device or a wireless signal receiving device, the at least two target signals can be preset to train the scheduler in the wireless signal sending device, Alternatively, the at least two target signals are preset to be used to train the scheduler in the receiving device of the wireless signal, which is not limited in the embodiment of the present application. In other optional implementations, such as centralized D2D communication, the ML model is set in a base station (not shown in Figure 3), and the base station can receive wireless signals sent by the terminal or training results to train the base station's uplink scheduling ML model or optimized downlink scheduler (refer to the implementation environment described in Figure 1 and Figure 2).

1 to 3 are only examples of the implementation environment involved in the embodiments of the present application, and are not used to limit the implementation environment of the present application. For example, in a scenario where a base station and a terminal interact, if the terminal has a certain signal scheduling processing function, this application can also be used to train an uplink scheduler or a downlink scheduler of the terminal. This application can also be used in other implementation environments.

In the embodiment of the present application, a wireless signal receiving device (for example, the base station 110 in FIG. 1, the terminal 120 in FIG. 2, the second terminal 122 or the first terminal 121 in FIG. 3) receives wireless signals based on the wireless signal Train the ML model installed in the wireless signal receiving device. The terminal may be User Equipment (UE).

FIG. 4 shows a flowchart of a signal transmission method provided by an embodiment of the present application. The method can be applied to the wireless signal sending device and the wireless signal receiving device in the foregoing or other implementation environments. The wireless signal receiving device may be The base station, terminal or other equipment is not limited in this embodiment. As shown in Figure 4, the method may include:

Step 401: The wireless signal sending device sends at least two target signals.

The at least two target signals are signals sent using at least two target configurations for the same original information. Wherein, a target configuration is a combination of a set of scheduling parameters (Parameter) and the target parameter value of the scheduling parameter, that is, a target configuration includes one or more scheduling parameters and the target parameter value of the one or more scheduling parameters . The scheduler (uplink scheduler or downlink scheduler) of the base station allocates and schedules wireless resources based on the scheduling parameter and the target parameter value of the scheduling parameter.

Wherein, the content of the original information is known to both the sending device and the receiving device of the wireless signal, such as a known set of bits. The content of the at least two target configurations is also known to the wireless signal transmitting device and the receiving device, and the content of the target configuration includes a scheduling parameter and a target parameter value of the scheduling parameter. In addition, when the target configuration includes multiple scheduling parameters, the content of the target configuration also includes the sequence of traversing the multiple scheduling parameters. Of course, in this case, since the target configuration includes multiple scheduling parameters, the target configuration includes multiple scheduling parameters. There are also multiple target parameter values of the scheduling parameters included in the configuration, and they correspond to the scheduling parameters.

The at least two target signals are respectively transmitted in at least two time domain units. A time domain unit may refer to a slot, a slot group, a symbol, a symbol group, and a frame. A group of frames, a subframe (subframe), or a group of subframes may also be other forms of time domain units, which are not limited in the embodiment of the present application.

Step 402: The wireless signal receiving device receives the at least two target signals.

An ML model may be set in the wireless signal receiving device, and the at least two target signals may be used to optimize the ML model.

To sum up, in the signal transmission method provided by the embodiments of the present application, the wireless signal sending device sends the same original information using at least two target configurations, so that the wireless signal receiving device can receive the transmission in the current communication environment. The multiple target signals sent by using multiple target configurations can be used to optimize the ML model in the wireless signal receiving device, which helps to improve the accuracy of the training results output by the ML model.

Since the original information and target configuration are known to the wireless signal receiving device, the wireless signal receiving device can determine the accuracy of the training result output by the ML model based on the original information, target configuration, and the received target signal It is helpful to optimize the ML model.

For the implementation environment described in Figure 1 above, the base station can directly optimize the ML model in the uplink scheduler after receiving the target signal sent with multiple target configurations, so as to achieve the effect of optimizing the uplink scheduler. For the implementation environment described in Figure 2 above, the terminal can optimize the ML model in the terminal after receiving the target signal sent with multiple target configurations, and send the training result to the base station to optimize the downlink scheduler of the base station, where the base station can Refer to the training results sent by the terminal to optimize the downlink scheduler.

Moreover, regardless of whether the at least two target signals are transmitted between the base station and the terminal or between the terminal and the terminal, the at least two target signals have both experienced the current communication environment of the terminal, so that the ML model adopts the at least two target signals. The training result of the ML model training performed by the signal can meet the current real-time communication environment of the terminal, and further improve the accuracy of the training result.

In the following embodiments of the present application, the original information is a set of known bits as an example for description. The known set of bits may be a randomly generated set of bits, for example, the known set of bits may be randomly generated 1000 bits (bits).

When the embodiments of the present application are actually implemented, the size of each time domain unit and each frequency domain unit may be fixed. For example, the size of each time domain unit is 5 time slots, and the size of each frequency domain unit is 20 resource blocks (Physical Resource Block, PRB). However, as the scheduling parameters included in the target configuration are different, the actual number of bits that can be carried by each time domain unit and each frequency domain unit is different. Therefore, for different target configurations, one target configuration may be used to generate one target signal only for some bits in the known set of bits. That is, in the foregoing step 401, the at least two target signals are signals sent using at least two target configurations for the same set of known bits, which may include: the at least two target signals are specified for the same set of known bits A length of multiple bits, using at least two target configurations to send a signal. That is, each of the at least two target signals is a signal sent using a target configuration for multiple bits of a specified length in the same set of known bits.

Wherein, the specified length is predefined, or configured according to high-level signaling, or calculated and determined according to a specified method, which is not limited in this embodiment. The high-level signaling is configuration information received by the terminal from higher layers, and the configuration information can implement signaling for operation and management of the terminal, and the high-level is a layer above the physical layer.

In the above step 401, each of the at least two target configurations adopted for the same set of known bits includes one or more scheduling parameters and a target parameter value of the one or more scheduling parameters.

The at least two target configurations may be at least two target configurations of the same one target configuration, or at least two target configurations of two different target configurations. When determining whether two target configurations are the same, it is necessary to judge from two aspects: when at least one of the scheduling parameters in the two target configurations and the target parameter values of the scheduling parameters are different, then the two target configurations are determined For different target configurations, that is, the two target configurations are two target configurations respectively; and when the scheduling parameters in the two target configurations and the target parameter values of the scheduling parameters are the same, it is determined that the two target configurations are the same A kind of target configuration. For example, a target configuration c1 is MCS, and the target parameter value of the MCS is 9; a target configuration c2 is MCS, and the target parameter of the MCS is 10; a target configuration c3 is the antenna port, and the target parameter of the antenna port The value is 10; a target configuration c4 is MCS, and the target parameter value of the MCS is 9. The above four configuration parameters include three target configurations, among which the target configuration c1 and the target configuration c4 are the same target configuration.

The following separately introduces the scheduling parameters included in the target configuration and the target parameter values of the scheduling parameters:

1. The scheduling parameters may include at least one of the following types of parameters: modulation and coding parameters, spatial scheduling parameters, frequency domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and basic parameter sets.

Spatial domain scheduling parameters may include at least one of antenna port, precoding, and number of layers, or other parameters; frequency domain scheduling parameters may include BWP or other parameters; modulation and coding parameters may include at least one of MCS and TBS One type may also include other parameters; the basic parameter set may include at least one of a parameter set, SCS, and CP, and may also include other parameters.

Among them, the above-mentioned classification of scheduling parameters into modulation and coding parameters, space-domain scheduling parameters, frequency-domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and basic parameter sets is only an example of a classification of scheduling parameters, and is not used. To limit the parameter types of scheduling parameters. The scheduling parameters may also adopt other classification methods or not be classified, and the scheduling parameters may also include other types of parameters or other parameters, which are not limited in this application.

Among them, numerology can include SCS and CP. In an alternative implementation, numerology, SCS, and CP can share an index table. For example, as shown in Table 1, when at least two of numerology, SCS, and CP share an index number, one scheduling parameter can be used to indicate Substitute other scheduling parameters that share the index number with it. Table 1 shows a numerology index table provided by an embodiment of the present application, where the first column is used to identify numerology, the second column is used to identify SCS, and the third column is used to identify CP. As can be seen from Table 1, the index number (ie μ) of each numerology in the first column of the numerology index table has a one-to-one correspondence with the SCS in the second column, that is, numerology and SCS share an index Number, the index number of each numerology can represent different SCS. Therefore, in the embodiments of the present application, numerology can refer to SCS, and the target parameter value of numerology can represent the target parameter value of SCS for illustration. Of course, in other possible embodiments, numerology, SCS, and CP respectively correspond to different target parameter values, which are not limited in the embodiment of the present application.

Table 1

μ Δf=2 ^μ ·15[kHz] Cyclic prefix 0 15 normal 1 30 normal 2 60 Normal, extended 3 120 normal 4 240 normal

2. The target parameter value of the scheduling parameter refers to a certain parameter value among at least one parameter value included in the scheduling parameter.

Each scheduling parameter includes at least one parameter value, and the parameter value is used to indicate different groups of scheduling values under the same scheduling parameter. Of course, each group of scheduling values may be referred to as the scheduling parameter. For example, the scheduling parameter is MCS in the modulation and coding parameter. For the MCS, the MCS includes multiple index values, and each index value can indicate a group of scheduling values. As shown in Table 2, each group of scheduling values includes modulation order, modulation order, and spectral efficiency. The index value Among the scheduling values indicated by 7, the modulation order is 2, the target code rate is 526, and the spectral efficiency is 1.0273. That is, the group of scheduling values can also be referred to as the MCS with an index value of 7. The target parameter value of the scheduling parameter is used to determine the scheduling parameter indicated by the target parameter value included in the target configuration.

Table 2

The scheduling parameters in the target configuration in the embodiment of the present application may include modulation and coding parameters, spatial scheduling parameters, frequency domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and scheduling parameters in at least one parameter type in the basic parameter set. A received target signal is a signal that is sent using a scheduling parameter included in a target configuration and a target parameter value of the scheduling parameter for a known set of bits. Wherein, when the target configuration includes at least two scheduling parameters (the at least two scheduling parameters may belong to one parameter type or belong to at least two parameter types respectively), the at least two scheduling parameters may be sequentially adopted in a predetermined order Each scheduling parameter and its target parameter value in each of the scheduling parameters are sent to the known group of bits, and the predetermined sequence is a pre-appointed sequence of the wireless signal sending device and the wireless signal receiving device.

In the embodiment of the present application, since the scheduling parameters can be divided into at least one parameter type, and each parameter type includes at least one scheduling parameter, the predetermined sequence can be divided into the following three situations: it can be traversal only. The order of the parameter types is either the order of traversing only the scheduling parameters, or both the order of traversing the parameter types and the order of traversing the scheduling parameters corresponding to each parameter type. The three situations are described below respectively.

In the first case, the predetermined order may be traversed in the unit of parameter type. When at least two scheduling parameters included in the target configuration belong to at least two parameter types respectively, the at least two parameter types are sequentially adopted in the predetermined order. Each parameter type in the traversal.

Wherein, using each parameter type to perform traversal refers to using the scheduling parameter belonging to the parameter type and the target parameter value of the at least two scheduling parameters to perform traversal. In this case, when there are multiple scheduling parameters belonging to the parameter type, the order in which the multiple scheduling parameters and their target parameter values are traversed is not limited.

For example, if the target configuration includes three scheduling parameters, one scheduling parameter in the airspace scheduling parameter and two scheduling parameters in the transmission waveform, then the target parameter value of the scheduling parameter includes a target parameter value of the airspace scheduling parameter, and The two target parameter values of the transmission waveform. The pre-appointed sequence of the wireless signal sending device and the wireless signal receiving device is to first traverse the spatial scheduling parameter and its target parameter value, and then traverse the transmission waveform and its target parameter value. Then the received target signal is a signal that is sent using the airspace scheduling parameter and its target parameter value, and then is sent using the transmission waveform and its two target parameter values. Of course, if the wireless signal transmitting device and the wireless signal receiving device have a pre-appointed sequence, the transmission waveform and its two target parameter values are traversed first, and then the spatial scheduling parameter and its target parameter value are traversed. Then, the received target signal is a signal that is sent using the airspace scheduling parameter and the target parameter value after the transmission waveform and the target parameter value are respectively used for processing. The embodiment of the present application does not limit this. When the transmission waveform and its two target parameter values are used for transmission, the sequence of traversing the two scheduling parameters and their two target parameter values in the transmission waveform is not limited.

In the second case, the predetermined sequence may be traversed in units of scheduling parameters. The at least two scheduling parameters included in the target configuration may respectively belong to at least two parameter types, or may belong to one parameter type.

For example, the target configuration includes two scheduling parameters, namely MCS and TBS, and both MCS and TBS belong to a type of modulation and coding parameter. The predetermined sequence may be to use MCS and TBS to send the known set of bits in sequence, which is not limited in the embodiment of the present application. For another example, the target configuration includes two scheduling parameters, namely MCS and antenna port. MCS and antenna port respectively belong to two types of parameters, modulation and coding parameters and spatial scheduling parameters. The predetermined sequence may be that the MCS and the antenna port are used in sequence to send the known group of bits, which is not limited in the embodiment of the present application.

In the third case, the predetermined sequence may be traversed in units of parameter types and scheduling parameters. The predetermined sequence may include a first sequence of traversing at least two parameter types and a second sequence of traversing at least two scheduling parameters included in each parameter type. The first order and the second order are both the order agreed upon in advance by the wireless signal transmitting device and the wireless signal receiving device.

For example, if the target configuration includes three scheduling parameters, namely the antenna port in the space scheduling parameter and the MCS and TBS in the modulation and coding parameter, the target parameter value of the space scheduling parameter includes the target parameter value of the antenna port, the modulation coding parameter The target parameter value of includes the target parameter value of MCS and the target parameter value of TBS. The first order agreed upon in advance by the wireless signal sending device and the wireless signal receiving device is to first traverse the spatial scheduling parameters and their target parameter values, and then traverse the modulation and coding parameters and their target parameter values. The second order agreed in advance is to traverse the MCS and its target parameter value first, and then traverse the TBS and its target parameter value. Then the received target signal is a signal that is sent using the spatial scheduling parameters and the target parameter values respectively, and then the MCS and its target parameter values and the TBS and its target parameter values are used in turn for transmission. Of course, the first order and the second order agreed upon in advance by the wireless signal sending device and the wireless signal receiving device may be other sequences, which are not limited in the embodiment of the present application.

As mentioned above, scheduling parameters such as spatial scheduling parameters and modulation and coding parameters may further include multiple scheduling parameters. For the foregoing multiple scheduling parameters, the embodiment of the present application takes the following eight target configurations as examples for description.

In the first target configuration, the scheduling parameters of the target configuration include MCS and MCS target parameter values.

At least one of the at least two target signals is a signal sent after modulating and encoding a known set of bits using a target MCS. The target MCS is the MCS whose index number is the target parameter value in the MCS index table. Among them, the MCS index table can refer to the MCS index table shown in Table 2 above.

The at least two target signals are respectively transmitted in at least two time domain units, and the at least two target signals may be transmitted in the same frequency domain unit, or respectively transmitted in at least two frequency domain units. Each frequency domain unit may include at least one resource block (Resource Block, RB), and multiple RBs may form a subband (subband). Each RB includes a PRB and a virtual resource block (Virtual Resource Block, VRB).

The target parameter value is an index value from 0 to A in the MCS index table, and A is an integer greater than or equal to 1, for example, A in the MCS index table described in Table 2 is 31. In the MCS index table, the MCS whose index number is the target parameter value is the target MCS. For example, if the target parameter value is 18, the MCS with index number 18 is the target MCS. In the target MCS, the modulation order is 6, the modulation order is 466, and the spectral efficiency is 2.7305.

In the first target configuration, the target configuration includes only one scheduling parameter, namely MCS, and the type of target configuration that can be determined based on the scheduling parameter depends on the number of values that the MCS target parameter value can take. For example, the number of values that the MCS target parameter value can take is 32, then 32 target configurations can be determined based on the scheduling parameter, and correspondingly, 32 target configurations can be sent by using the 32 target configurations for a set of known bits wireless signal.

Figure 5 shows a schematic diagram of a set of known bits that are respectively modulated and coded using MCS with target parameter values of 0 to 31, respectively transmitted in 32 time domain units, and transmitted in the same frequency domain unit . In this figure, MCS is used for modulation and coding. Since the target parameter values are 0 to 31, there are 32 target configurations and 32 target signals (that is, 32 different target signals).

When the wireless signal receiving device is a base station, the target signal sent using the first target configuration is an uplink wireless signal, which can provide the base station with a wireless signal that traverses various MCSs, and can be trained for uplink adaptive modulation Coding (Adaptive Modulation and Coding, AMC) ML model to optimize the uplink scheduler of the base station; when the wireless signal receiving device is a terminal, the target signal sent using the first target configuration is a downlink wireless signal, and the downlink wireless signal The signal can provide the terminal with wireless signals that traverse various MCSs, and can train the ML model for downlink adaptive modulation and coding (AMC). After the terminal uploads the ML training result to the base station, the base station can optimize based on the training result The downlink scheduler of the base station.

In the second target configuration, the scheduling parameters of the target configuration include MCS, TBS, and the first target parameter values of MCS and TBS. Both MCS and TBS belong to the same type of parameters, namely modulation and coding parameters.

At least one of the at least two target signals is a signal sent using a target MCS and TBS (mcsAndTBS) for a known set of bits. The sending process may include: using the target mcsAndTBS to modulate and encode a set of known bits and send it. The at least two target signals are respectively transmitted in at least two time domain units, and the at least two target signals may be transmitted in the same frequency domain unit, or respectively transmitted in at least two frequency domain units. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

Among them, the target mcsAndTBS is mcsAndTBS whose index number in the mcsAndTBS index table is the target parameter value. Wherein, the first target parameter value is an index value from 0 to B in the mcsAndTBS index table, and B is an integer greater than or equal to 1. For example, B is 31.

It should be noted that what is described in the embodiments of this application is the case where MCS and TBS share index tables and index numbers. In other possible implementations, MCS and TBS can use MCS index tables and TBS index tables, respectively. In this case, the target MCS and the target TBS need to be determined separately, that is, the target configuration needs to include the target parameter value corresponding to the target MCS and the target parameter value corresponding to the target TBS, which is not limited in the embodiment of the application.

In the second target configuration, the target configuration includes two scheduling parameters, namely MCS and TBS. The type of target configuration that can be determined based on the scheduling parameters depends on the two scheduling parameters and the respective target parameters of the two scheduling parameters. The number of values that the value can take. For example, the number of target parameter values that can be taken by MCS and TBS is 32, then 32*32 or 1024 target configurations can be determined based on the scheduling parameters. Correspondingly, this is used for a set of known bits. 1024 target configurations can send 1024 target signals. In this case, the known set of bits can be sent using the target MCS and the target TBS in a predetermined sequence. The predetermined sequence can be that the target MCS is used first and then the target TBS, or the target TBS is used first and then the target MCS is used. The embodiment of the present application does not limit this.

When MCS and TBS both correspond to a set of target parameter values, that is, when MCS and TBS share an index table, 32 target configurations can be determined based on the scheduling parameters. Correspondingly, the 32 targets are used for a known set of bits The configuration can send 32 kinds of target signals.

For example, Figure 6 shows a set of bits that are respectively modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, and then sent in 32 time domain units. , And the schematic diagram of sending in the same frequency domain unit. In this figure, both MCS and TBS are used for modulation and coding. Since the first target parameter value is 0 to 31, it corresponds to 32 target configurations and 32 target signals (ie, 32 different target signals).

When the wireless signal receiving device is a base station, the target signal sent using this second target configuration is an uplink wireless signal. The uplink wireless signal can provide the base station with a wireless signal that traverses various MCS and TBS, and can be trained for uplink AMC ML model to optimize the uplink scheduler of the base station; when the wireless signal receiving device is a terminal, the target signal sent using this second target configuration is a downlink wireless signal, and the downlink wireless signal can provide the terminal to traverse various MCS The ML model used for downlink AMC can be trained with wireless signals from TBS, and after the terminal uploads the ML training result to the base station, the base station can optimize the downlink scheduler of the base station based on the training result.

In the following several target configurations, the case where MCS and TBS share an index table is taken as an example for description.

In the third target configuration, the scheduling parameters of the target configuration include the first target parameter values of MCS, TBS, MCS and TBS, the antenna port and the second target parameter value of the antenna port. Among them, both MCS and TBS belong to the same type of parameters, that is, modulation and coding parameters. The antenna port is an airspace scheduling parameter.

At least one of the at least two target signals is a signal that is sent using a target mcsAndTBS and a target antenna port for a known set of bits. The at least one target signal may be sent by using the target mcsAndTBS and the target antenna port according to a predetermined sequence of a known set of bits. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target antenna port. That is, a set of known bits is firstly modulated and coded by using at least one target mcsAndTBS, and then sequentially transmitted in different time domain units, and then respectively mapped to at least one target antenna port for transmission. Of course, in other optional embodiments of the present application, the predetermined sequence may also be traversing the target antenna port first and then traversing the target mcsAndTBS, which is not limited in the embodiment of the present application.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two target signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

Wherein, the target antenna port is the antenna port whose index number is the second target parameter value in the antenna port index table, and the second target parameter value is an index value from 0 to C in the antenna port index table, and C is greater than An integer equal to 1. For example, C is 31. The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

In the third target configuration, the target configuration includes three scheduling parameters, namely MCS, TBS, and antenna port. Since MCS and TBS share an index table, the type of target configuration that can be determined based on the scheduling parameter depends on the number of values that can be taken by the first target parameter value and the second target parameter value. When the first target parameter value of mcsAndTBS is M, M is an integer greater than 1, and when the second target parameter value of the antenna port is N, N is an integer greater than 1, and N*M can be determined based on the scheduling parameter Correspondingly, using the N*M target configurations for a known set of bits can send N*M target signals.

For example, Fig. 7 shows that after modulating and encoding a known set of bits using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, respectively, they are sent in 32 time domain units. , On this basis, are mapped to the antenna ports with the second target parameter value of 0 to 31 respectively, and are sent in the same frequency domain unit. That is, in the embodiment shown in FIG. 7, the predetermined order is First traverse the target mcsAndTBS and then traverse the target antenna port. In Figure 7, 32*32 (ie 1024) target signals are sent using the third target configuration for a known set of bits.

It should be noted that in FIG. 7, the correspondence between the 32 antenna ports and the time domain unit is only a schematic illustration. When the embodiment of the present application is actually implemented, the 32 antenna ports can also correspond to the same time domain unit. Can save time domain resources. However, in order to avoid increasing the complexity of the wireless signal in the time dimension, the 1024 target signals may be sent sequentially in 1024 time domain units in the order of time, that is, the situation shown in FIG. 7.

When the wireless signal receiving device is a base station, the target signal sent using the third target configuration is an uplink wireless signal. The uplink wireless signal can provide the base station with a wireless signal that traverses various MCS and TBS and each antenna port. Train the ML model for uplink AMC and antenna/beam selection to optimize the uplink scheduler of the base station; when the wireless signal receiving device is the terminal, the target signal sent by the third target configuration is the downlink wireless signal. The wireless signal can provide the terminal with wireless signals that traverse various MCS and TBS, and each antenna port, and can train the ML model for downlink AMC and antenna/beam selection. After the terminal uploads the ML training result to the base station, The base station can optimize the downlink scheduler of the base station based on the training result.

In the fourth target configuration, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, and third target parameter values of precoding, number of layers, precoding, and number of layers. Among them, both MCS and TBS belong to the same type of parameters, that is, modulation and coding parameters. The precoding and the number of layers belong to the same type of parameter, that is, the spatial scheduling parameter.

At least one of the at least two target signals is a signal sent using a target mcsAndTBS and a target precoding and number of layers (precodingAndNumberOfLayers) for a known set of bits. The at least one target signal may be sent by using the target mcsAndTBS, target precoding and the number of layers according to a predetermined sequence of a known set of bits. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target precodingAndNumberOfLayers, that is, use at least one target mcsAndTBS for modulation and coding of a known set of bits, then send them in different time domain units in turn, and then map to the target The number of layers in precodingAndNumberOfLayers, and the precoding matrix corresponding to the precoding in the target precodingAndNumberOfLayers is used for encoding and sending. Of course, in other optional embodiments of the present application, the predetermined order may also be to traverse the target precodingAndNumberOfLayers first and then traverse the target mcsAndTBS, which is not limited in the embodiment of the present application. In addition, referring to the third case in the foregoing description of the predetermined sequence, the predetermined sequence may include multiple possibilities. For example, the predetermined sequence may be to traverse the modulation and coding parameters first, and then traverse the spatial scheduling parameters, and for the modulation and coding parameters, Traverse the MCS first and then traverse the TBS. For the spatial scheduling parameters, the precoding can be traversed first and then the number of layers. For another example, the predetermined order can be traverse the modulation and coding parameters first, and then traverse the spatial scheduling parameters, and for the modulation and coding parameters, you can Traverse TBS first and then MCS. For spatial scheduling parameters, you can traverse the number of layers first and then traverse the precoding, and so on. The embodiments of this application are not given as examples here.

The at least two wireless signals may be transmitted in at least two time domain units, respectively, and the at least two wireless signals may be transmitted in the same frequency domain unit, or may be transmitted in at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

The target precodingAndNumberOfLayers is precodingAndNumberOfLayers whose index number is the third target parameter value in the precodingAndNumberOfLayers index table, and the third target parameter value is an index value from 0 to D in the precodingAndNumberOfLayers index table, and D is an integer greater than or equal to 1. . For example, D is 63.

It should be noted that what is described in the embodiments of this application is the case where the index table and index number are shared by precoding and the number of layers. In other possible implementations, the precoding and the number of layers can use the precoding index table and layer respectively. In this case, the target precoding and the target layer number need to be determined separately, that is, the target configuration needs to include the target parameter value corresponding to the target precoding and the target parameter value corresponding to the target layer number. This application The embodiment does not limit this.

In the following several target configurations, the case where the precoding and the number of layers share an index table is taken as an example for description.

In the fourth target configuration, the target configuration includes four scheduling parameters, namely MCS, TBS, precoding and number of layers, but since MCS and TBS both correspond to the first target parameter, the precoding and number of layers both correspond to the third target Therefore, the type of target configuration that can be generated based on the scheduling parameter depends on the number of values that can be taken by the first target parameter value and the third target parameter value. When the value of the first target parameter of mcsAndTBS is M, and when the value of the third target parameter of precodingAndNumberOfLayers is P, P is an integer greater than 1. Based on the scheduling parameter, P*M target configurations can be determined. Correspondingly, A group of known bits can be used to send P*M target signals by adopting the P*M target configuration.

For example, Figure 8 shows that a set of known bits are respectively modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, and then sent in 32 time domain units. , On this basis, the third target parameter value is 0 to 63 precoding and the number of layers (ie precodingAndNumberOfLayers) for transmission, and the schematic diagram of transmission in the same frequency domain unit, that is, as shown in Figure 8. In the embodiment, the predetermined sequence is to traverse the target mcsAndTBS first, and then traverse the target precoding and the number of layers. In FIG. 8, 32*64 (that is, 2048) target signals are sent using the target configuration in the fourth target configuration for a known set of bits.

Optionally, the precoding and the number of layers are all parameters of a multiple-input multiple-output (MIMO) configuration.

When the wireless signal receiving device is a base station, the target signal sent using the fourth target configuration is an uplink wireless signal, which can provide the base station with wireless signals that traverse various MCS and TBS and various MIMO configurations. The ML model for uplink AMC and MIMO adaptation can be trained to optimize the uplink scheduler of the base station; when the wireless signal receiving device is the terminal, the target signal sent by the fourth target configuration is the downlink wireless signal, and the downlink wireless signal The signal can provide the terminal with wireless signals that traverse various MCS and TBS, and various MIMO configurations, and can train the ML model for downlink AMC and MIMO adaptation. After the terminal uploads the ML training result to the base station, the base station The downlink scheduler of the base station can be optimized based on the training result.

In the fifth target configuration method, the scheduling parameters of the target configuration include the first target parameter values of MCS, TBS, MCS, and TBS, the transmission waveform, and the fourth target parameter value of the transmission waveform. Both MCS and TBS belong to the same type of parameters, namely modulation and coding parameters. The transmission waveform is a parameter of the type of transmission waveform.

At least one of the at least two target signals is a signal that is sent using a target mcsAndTBS and a target transmission waveform for a known set of bits. The at least one target signal may be sent using the target mcsAndTBS and the target transmission waveform according to a predetermined sequence of a known set of bits. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target transmission waveform. That is, a set of known bits is firstly modulated and coded with at least one target mcsAndTBS, and then sequentially transmitted in different time domain units, and then respectively mapped to the target transmission waveform for transmission. Of course, in other optional embodiments of the present application, the predetermined sequence may also be traversing the transmission waveform first and then traversing the target mcsAndTBS, which is not limited in the embodiment of the present application.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two target signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

Wherein, the target mcsAndTBS is mcsAndTBS whose index number is the first target parameter value in the mcsAndTBS index table, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

In the fifth target configuration method, the target configuration includes three scheduling parameters, namely MCS, TBS, and transmission waveform, but since both MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter It depends on the number of values that can be taken by the first target parameter value and the fourth target parameter value. When the first target parameter value of mcsAndTBS is M, when the target transmission waveform is R, R is an integer greater than 1. Based on the scheduling parameter, R*M target configurations can be determined. Correspondingly, for a set of known Bits can send R*M target signals using the R*M target configuration.

Optionally, based on a transform precoder (Transform Precoder), the transmission waveform may be sent as a transmission waveform corresponding to the enabled transform precoder and a transmission waveform corresponding to the disabled transform precoder. The two transmission waveforms are the discrete Fourier transform (Discrete Fourier Transform, DFT) extended orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) transmission waveform, corresponding to the English is Discrete Fourier Transformation spread OFDM, referred to as DFT- s-OFDM. The two transmission waveforms may also be referred to as Single-Carrier Frequency Division Multiple Access (Single-Carrier Frequency Division Multiple Access). DFT-s-OFDM can achieve transmission characteristics similar to single carrier, and can achieve better coverage than OFDM. It adds a transform precoder before the inverse fast Fourier transform (Fast Fourier Transformation, FFT) step.

Then the scheduling parameters of the target configuration in the fifth target configuration may also include the first target parameter values of MCS, TBS, MCS, and TBS, the transformation precoder configuration, and the fifth target parameter value of the transformation precoder configuration. At least one of the at least two target signals is a signal sent by adopting a target mcsAndTBS for a known set of bits and a target transform precoder configuration. The at least one target signal may be a signal that is configured to be transmitted with a target mcsAndTBS and a target transform precoder according to a predetermined sequence for a known set of bits. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target transform precoder configuration, that is, use at least one target mcsAndTBS for modulation and encoding of a known set of bits and then send them in different time domain units in sequence, and then Then respectively map to the target transform precoder configuration for transmission. Of course, in other optional embodiments of the present application, the predetermined order may also be to traverse the target antenna port first and then traverse the target transformation precoder configuration, which is not limited in the embodiment of the present application.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two wireless signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

Among them, the transform precoder is configured to send the transmission waveform, and the target transmission waveform is sent according to the target transform precoder configuration. The target transform precoder is configured as a transform precoder whose fifth target parameter value configured by the transform precoder is enabled or disabled, and the target mcsAndTBS is mcsAndTBS whose index number is the first target parameter value in the mcsAndTBS index table.

The parameter corresponding to the enabled transform precoder configuration is set to transformPrecoder=enabled, and the parameter corresponding to the disabled transform precoder configuration is set to transformPrecoder=disabled.

For example, Figure 9 shows that after a set of known bits are modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, respectively, they are generated in 32 time domain units. On this basis, two transform precoder configurations (ie, transform precoder configuration=enable and transform precoder configuration=disable) are respectively adopted on this basis, and the schematic diagram of sending in the same frequency domain unit, That is, in the embodiment shown in FIG. 9, the predetermined sequence is to first traverse the target mcsAndTBS and then traverse the target transform precoder. In Fig. 9, 32*2 (that is, 64) target signals are sent based on the fifth target configuration for a known set of bits.

It should be noted that in the fifth target configuration, the transmission waveform is transmitted by using the transformed precoder as an example for description. In other optional implementation manners of the embodiment of the present application, other transmission waveforms may also be transmitted and the transmission The waveform is not adopted by the transform precoder, which is not limited in the embodiment of the present application.

When the wireless signal receiving device is a base station, the target signal sent using the fifth target configuration is an uplink wireless signal. The uplink wireless signal can provide the base station with wireless signals that traverse various MCS and TBS and transmit waveforms. Train the ML model for uplink AMC and transmission waveform selection to optimize the uplink scheduler of the base station; when the wireless signal receiving device is the terminal, the target signal sent by the fifth target configuration is the downlink wireless signal, and the downlink wireless signal It can provide the terminal with wireless signals that traverse various MCS and TBS and transmission waveforms, and can train the ML model for downlink AMC and transmission waveform selection. After the terminal uploads the ML training result to the base station, the base station can be based on the The training result optimizes the downlink scheduler of the base station.

In the sixth target configuration method, the scheduling parameters of the target configuration include the first target parameter value of MCS, TBS, MCS and TBS, and the sixth target parameter value of numerology and numerology. Among them, both MCS and TBS belong to the same type of parameters, that is, modulation and coding parameters. Numerology belongs to the basic parameter set of this type of parameter.

At least one of the at least two target signals is a signal sent using a target mcsAndTBS and a target numerology for a known set of bits. The at least one target signal may be generated by using target mcsAndTBS and target numerology to process a known set of bits in a predetermined sequence. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target numerology. That is, a group of known bits is firstly modulated and coded with at least one target mcsAndTBS, and then sequentially sent in different time domain units, and then respectively mapped to at least one target numerology for transmission. Of course, in other optional embodiments of the present application, the predetermined order may also be to traverse the target numerology first and then traverse the target mcsAndTBS, which is not limited in the embodiment of the present application.

It should be noted that the target numerology and the subcarrier interval can share an index number. For an example, please continue to refer to Table 1. The sixth target parameter values are μ=0 (ie SCS=15kHz) and μ=1 (ie SCS= 30kHz), μ=2 (ie SCS=60kHz), then at least one target mcsAndTBS is used for modulation and coding of a known set of bits, and then sent in different time domain units in turn, and then mapped to μ=0 respectively. The target numerology, the target numerology of μ=1 and the target numerology of μ=2 are sent.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two target signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

The parameter value of the target numerology is a numerology whose index number is the sixth target parameter value in the numerology index table, and the sixth target parameter value is an index value from 0 to E in the numerology index table, and E is greater than or equal to An integer of 1. For example, E is 4.

In the sixth target configuration, the target configuration includes three scheduling parameters, namely MCS, TBS, and numerology. However, since MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter depends on The number of values that the first target parameter value and the sixth target parameter value can take. When the value of the first target parameter of mcsAndTBS is M, and when the value of the sixth target parameter of numerology is Q, Q is an integer greater than 1. Based on the scheduling parameter, Q*M target configurations can be determined. Correspondingly, A group of known bits can send Q*M target signals by adopting the Q*M target configuration.

For example, FIG. 10 shows that after a set of bits are modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, respectively, they are generated in 32 time domain units. On this basis, the sixth target parameter value (the sixth target parameter is identified as μ in the figure) is respectively used as 0, 1, and 2, and the schematic diagram of sending in the same frequency domain unit, that is, In the embodiment shown in FIG. 10, the predetermined sequence is to first traverse the target mcsAndTBS and then traverse the target numerology. In FIG. 10, 32*3 (ie, 96) target signals are generated based on the sixth target configuration for a known set of bits.

When the wireless signal receiving device is a base station, the target signal sent using the sixth target configuration is an uplink wireless signal, which can provide the base station with wireless signals that traverse various MCS and TBS, as well as numerology, which can be used for training The ML model selected in the uplink AMC and numerology to optimize the base station uplink scheduler; when the wireless signal receiving device is a terminal, the target signal sent using the sixth target configuration is a downlink wireless signal, and the downlink wireless signal can be a terminal Provides wireless signals that traverse various MCS and numerology, and can train the ML model selected for downlink AMC and numerology. After the terminal uploads to the base station, it is used to optimize the base station's downlink scheduler, and the terminal uploads the ML training result to After the base station, the base station can optimize the downlink scheduler of the base station based on the training result.

In the seventh target configuration method, the scheduling parameters of the target configuration include the first target parameter values of MCS, TBS, MCS and TBS, the sixth target parameter values of numerology and numerology, and the seventh target parameter values of BWP and BWP. Among them, both MCS and TBS belong to the same type of parameters, that is, modulation and coding parameters. Numerology belongs to the basic parameter set of this type of parameter. BWP belongs to a type of frequency domain scheduling parameter.

At least one of the at least two target signals is a signal sent using a target mcsAndTBS, a target numerology, and a target BWP for a known set of bits. The at least one target signal may be sent using the target mcsAndTBS, the target numerology, and the target BWP in a predetermined sequence for a set of known bits. The predetermined sequence may be: first traverse the target mcsAndTBS, then traverse the target numerology, and then traverse the target BWP. That is, a set of known bits are firstly modulated and coded with at least one target mcsAndTBS, and then sent in different time domain units, and then mapped to at least one target numerology, and then at least one target BWP is used respectively. send. Of course, in other optional embodiments of the present application, the predetermined order may also be to traverse the target numerology first, then traverse the target mcsAndTBS, and then traverse the target BWP, or traverse the target numerology first, then traverse the target BWP, and then traverse the target mcsAndTBS , Or, traverse the target mcsAndTBS first, then traverse the target BWP, and then traverse the target numerology, or, traverse the target BWP first, then traverse the target mcsAndTBS, and then traverse the target numerology, or, traverse the target BWP first, then traverse the target numerology, and then traverse the target mcsAndTBS, this embodiment of the application does not limit this.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two target signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

Among them, the target mcsAndTBS is mcsAndTBS whose index number is the first target parameter value in the mcsAndTBS index table; the parameter value of the target numerology is numerology whose index number is the sixth target parameter value in the numerology index table; the parameter value of BWP is broadband or narrowband, The target BWP is a broadband BWP or a narrowband BWP.

In the seventh target configuration method, the target configuration includes four scheduling parameters, namely MCS, TBS, numerology, and BWP. However, since MCS and TBS correspond to the first target parameter, the target configuration can be determined based on the scheduling parameters. The type depends on the number of values that can be taken by the first target parameter value, the sixth target parameter value, and the seventh target parameter value. When the value of the first target parameter of mcsAndTBS is M, when the value of the sixth target parameter of numerology is Q, and when the value of the seventh target parameter of BWP is S, S is an integer greater than 1, based on the scheduling parameter. S*Q*M target configurations are determined, and correspondingly, S*Q*M target signals can be sent by adopting the S*Q*M target configurations for a set of known bits.

For example, Figure 11 shows that a set of bits are respectively modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31 and then sent in 32 time domain units. On this basis, μ=0, μ=1 and μ=2 are used for transmission. On this basis, two BWPs, broadband BWP and narrowband BWP, are used for transmission, and they are transmitted in the same frequency domain unit. That is, in the embodiment shown in FIG. 11, the predetermined order is to first traverse the target mcsAndTBS, then traverse the numerology, and then traverse the target BWP. In FIG. 11, 32*3*2 (that is, 192) target signals are sent based on the seventh target configuration for a known set of bits.

It should be noted that in FIG. 11, the correspondence between the narrowband BWP and the time domain unit, and the correspondence between the wideband BWP and the time domain unit are merely illustrative. When the embodiment of the present application is actually implemented, the narrowband BWP corresponds to at least One target signal and at least one target signal corresponding to the narrowband BWP may also correspond to the same time domain unit, which can save time domain resources. However, in order to avoid increasing the complexity of the target signal in the time dimension, at least one target signal corresponding to the narrowband BWP and at least one target signal corresponding to the narrowband BWP can be sent sequentially in multiple time domain units, as shown in FIG. 11 Case.

When the wireless signal receiving device is a base station, the target signal sent using the seventh target configuration is an uplink wireless signal. The uplink wireless signal can provide the base station with a wireless signal that traverses various MCS and TBS, numerology and frequency domain resources. The ML model for uplink AMC, numerology selection, and frequency domain resource selection can be trained to optimize the base station uplink scheduler; when the wireless signal receiving device is a terminal, the target signal sent using the seventh target configuration is a downlink wireless signal The downlink wireless signal can provide the terminal with a wireless signal that traverses various MCS and TBS, numerology and frequency domain resources, and can train the ML model for downlink AMC, numerology selection and frequency domain resource selection. After the training result is uploaded to the base station, the base station can optimize the downlink scheduler of the base station based on the training result.

In the eighth target configuration, the scheduling parameters of the target configuration include the first target parameter values and power parameters of MCS, TBS, MCS, and TBS. Among them, both MCS and TBS belong to the same type of parameters, that is, modulation and coding parameters. Power parameters belong to the type of power parameters.

At least one of the at least two target signals is a signal sent using a target mcsAndTBS and a target power parameter for a known set of bits. The at least one target signal may be a set of known bits in a predetermined sequence, using target mcsAndTBS and target power parameters for transmission. The predetermined sequence may be: first traverse the target mcsAndTBS and then traverse the target power parameter. That is, a set of known bits is firstly modulated and coded by using at least one target mcsAndTBS, and then sequentially transmitted in different time domain units, and then the target power parameter is used for transmission. Of course, in other optional embodiments of the present application, the predetermined sequence may also be to traverse the target power parameter first and then traverse the target mcsAndTBS, which is not limited in the embodiment of the present application.

The at least two target signals may be transmitted in at least two time domain units respectively, and the at least two target signals may be transmitted in the same frequency domain unit or at least two frequency domain units respectively. For the related description of the frequency domain unit, reference may be made to the above-mentioned first target configuration, which is not repeated in the embodiment of the present application.

In the eighth target configuration, the target configuration includes three scheduling parameters, namely MCS, TBS, and power value. However, since both MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter depends on The first target parameter value and the number of values that the target power value can take. When the first target parameter value of mcsAndTBS is M, when the target power value is T, T is an integer greater than 1. Based on the scheduling parameter, T*M target configurations can be determined. Correspondingly, for a known one The group bit adopts the T*M target configuration to send T*M target signals.

For example, Figure 12 shows a set of bits that are respectively modulated and coded using MCS and TBS (ie mcsAndTBS) with the first target parameter value of 0 to 31, and then sent in 32 time domain units. On this basis, the target power parameter 1, the target power parameter 2 and the target power parameter 3 are respectively used for transmission, and a schematic diagram of the transmission in the same frequency domain unit, that is, in the embodiment shown in FIG. 12, The predetermined sequence is to first traverse the target mcsAndTBS and then traverse the target power parameter. In FIG. 12, 32*3 (ie, 96) target signals are sent using the eighth target configuration for a known set of bits.

When the wireless signal receiving device is a base station, the target signal sent using the eighth target configuration is an uplink wireless signal. The uplink wireless signal can provide the base station with a wireless signal that traverses various MCS and TBS and various power parameters. Train the ML model for uplink AMC and power parameter selection to optimize the uplink scheduler of the base station; when the wireless signal receiving device is the terminal, the target signal sent by the eighth target configuration is the downlink wireless signal, and the downlink wireless signal The signal can provide the terminal with wireless signals that traverse various MCS and TBS, and various power parameters, and can train the ML model for downlink AMC and power parameter selection. After the terminal uploads the ML training result to the base station, the base station can Based on the training result, the downlink scheduler of the base station is optimized.

It should be noted that the above-mentioned first target configuration to the eighth target configuration are only exemplary combinations. In other optional implementations, the above-mentioned scheduling parameters can be flexibly combined into more dimensional target configurations. Generate a more comprehensive target signal to train the ML model.

It should also be noted that the foregoing FIGS. 5 to 12 are schematic diagrams of transmitting at least two target signals to be transmitted in the same frequency domain unit. When the embodiments of the present application are actually implemented, the at least two target signals may be sent simultaneously in at least two frequency domain units, respectively. For example, as shown in Figure 13, Figure 13 shows the 192 target signals generated in three frequency domain units (that is, corresponding to subband 0 and subband respectively) based on the seventh target configuration described above. Schematic diagram of sending in 1 and subband 2).

It should be noted that at least one target signal in the embodiment shown in FIG. 13 traverses both the target BWP and multiple frequency domain units. In other optional implementation manners, the at least one wireless signal may also traverse multiple frequency domain units for one target BWP, which is not limited in the embodiment of the present application.

When the wireless signal receiving device is a base station, this can provide the base station with wireless signals that traverse various scheduling parameters, scheduling parameter target parameter values, frequency domain resources, and time domain resources, which can be trained for uplink AMC and frequency domain resource selection And the ML model of time domain resource selection to optimize the base station uplink scheduler; when the wireless signal receiving device is the terminal, this can provide the terminal with traversal of various scheduling parameters, scheduling parameter target parameter values, frequency domain resources, and time domain The wireless signal of the resource can be used to train the ML model for downlink AMC, frequency domain resource selection, and time domain resource selection. After the terminal uploads the ML training result to the base station, the base station can optimize the downlink scheduling of the base station based on the training result Device.

As described in the foregoing implementation environment described in FIGS. 1 to 3, in the embodiment of the present application, the wireless signal receiving device may be a terminal or a base station, and the wireless signal sending device may also be a terminal or a base station. Hereinafter, the above-mentioned signal transmission method will be described with the wireless signal receiving device as the terminal, the wireless signal sending device as the base station, and the wireless signal receiving device as the base station, and the wireless signal sending device as the terminal.

In the first case, the receiving device of the wireless signal is a base station, and the transmitting device of the wireless signal is a terminal. This situation may correspond to the implementation environment shown in FIG. 1 above. In addition, as shown in FIG. 14, the signal transmission method may include:

Step 501: The terminal determines at least two target configurations.

In step 501, there may be multiple ways for the terminal to determine at least two target configurations. The embodiment of the present application takes the following five implementation ways as examples for illustration.

In the first implementation manner, the at least two target configurations are predefined. Then, in step 501, the terminal determining the at least two target configurations includes: the terminal determining the at least two target configurations according to a predefined definition.

In the first implementation manner, that the at least two target configurations are predefined means that the scheduling parameters of each target configuration in the at least two target configurations and the target parameter values of the scheduling parameters are all predefined.

When each of the at least two target configurations is predefined, at least two of the at least two target configurations are different. That is, the at least two target configurations include at least two target configurations. This ensures that the at least two target signals sent using the at least two target configurations are more random, which helps to train the ML model comprehensively.

In the second implementation manner, the target configuration is determined according to the first higher layer signaling. Before step 501, the signal transmission method further includes:

Step A1: The base station generates and sends the first high layer signaling to the terminal. Then, in step 501, the terminal determining the target configuration includes: the terminal determining the target configuration according to the received first higher layer signaling.

In the second implementation manner, the target configuration is determined according to the first higher layer signaling, which means that the scheduling parameters in the target configuration and the target parameter values of the scheduling parameters are determined according to the first higher layer signaling.

Optionally, the target configuration is determined according to the first higher layer signaling and includes:

For the scheduling parameter part, the scheduling parameter in the target configuration is determined according to the first higher layer signaling, or, for the target parameter part of the scheduling parameter, all the target parameter values of the scheduling parameters in the target configuration are according to the first higher layer signaling Determined, or some target parameter values of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, and the target parameter values of other parts are determined according to a predefined method (for example, according to the default value default) . This saves signaling overhead.

For example, for the above-mentioned second target configuration, the scheduling parameters of the target configuration determined by high-layer signaling include MCS and TBS. According to high-layer signaling, 32 target MCS and 32 target TBS can be configured. However, if only high-layer signaling is configured If the target parameter value of TBS is not configured with the target parameter value of MCS, all the 32 target MCS can be traversed, or if the target parameter value of TBS and MCS is not configured in the high-level signaling, all the 32 target MCS and 32 can be traversed. Target TBS.

Of course, in other optional implementation manners, the scheduling parameters in the target configuration can also be set in a predefined manner, which is not limited in the embodiment of the present application.

In the first implementation or the second implementation above, only one uplink wireless signal and one downlink wireless signal are generated correspondingly, and when the downlink control information (Downlink Control Information, DCI) indicates the target signal to be transmitted, it is transmitted. The only uplink wireless signal or one downlink wireless signal does not need to perform the selection operation of the wireless signal.

In the third implementation manner, the target configuration is determined in multiple predefined configurations according to the second higher layer signaling. Before step 501, it also includes:

Step B1: The base station generates and sends the second higher layer signaling to the terminal;

Step B2: The terminal determines multiple configurations according to the predefined;

Then, in step 501, the terminal determining the target configuration includes: the terminal determining the target configuration in the plurality of predefined configurations according to the received second higher layer signaling.

In the third implementation manner, multiple configurations need to be predefined first, and then the second higher layer signaling determines a target configuration from the multiple configurations to send a known set of bits. At least two of the configurations can be different. For example, 8 configurations are predefined, and each configuration includes at least one scheduling parameter and the target parameter value of the scheduling parameter. The second layer signaling selects the second configuration from the 8 configurations, and when the DCI indicates When transmitting the target signal (this process may also be referred to as the DCI activation target signal), the second configuration is used as the target configuration to send a known set of bits.

In the fourth implementation manner, the target configuration is determined in multiple predefined configurations according to the first control information. Before step 501, it also includes:

Step C1: The base station generates and sends the first DCI to the terminal;

Step C2: The terminal determines multiple configurations according to the predefined;

Then in step 501, the terminal determining the target configuration includes: the terminal determining the target configuration in the plurality of predefined configurations according to the received first DCI.

Optionally, the control information may be DCI or sidelink control information (Sidelink Control Information, SCI), etc., which is not limited in the embodiment of the present application. When the control information is SCI, the wireless signal receiving device and the wireless signal sending device may both be terminals.

In the fourth implementation manner, it is first necessary to predefine multiple configurations, and at least two of the multiple configurations may be different, and then the first control information determines a target configuration from the multiple configurations. For example, 8 configurations are predefined, and each configuration includes at least one scheduling parameter and the target parameter value of the scheduling parameter. The first control information selects the second configuration from the 8 configurations, and when the DCI indicates activation When the target signal is used, the second configuration is used as the target configuration to send a known set of bits. Wherein, the first control information may be the DCI used to indicate the activation of the target signal or other DCIs. When the first control information is the DCI used to indicate the activation of the target signal, different fields may be set in the DCI. ) To indicate that the target configuration is determined in a plurality of predefined configurations or to indicate that the target signal is activated, which is not limited in the embodiment of the present application.

In the fifth implementation manner, the target configuration is determined by determining a candidate configuration from a plurality of predefined configurations according to the third-layer signaling, and determined in the candidate configuration according to the second control information. Before step 501, it also includes:

Step C1: The base station generates and sends the third layer signaling to the terminal;

Step C2: The terminal determines multiple configurations according to the predefined;

Step C3: The terminal determines a candidate configuration from a plurality of configurations determined according to a predefined definition according to the third layer signaling;

Step C4: The base station generates and sends the second DCI to the terminal.

Then, in step 501, the process for the terminal to determine the target configuration may include: the terminal determines the target configuration in the candidate configurations according to the received second DCI.

In the fifth implementation manner, multiple configurations need to be predefined first, and at least two of the multiple configurations may be different. Then, the third layer signaling determines the candidate configuration from the multiple configurations, and then A target configuration in the candidate configuration is determined by the second control information. For example, 8 configurations are predefined, and each configuration includes at least one scheduling parameter and the target parameter value of the scheduling parameter. The third layer signaling selects the 0th configuration and the second configuration from the 8 configurations. And the fifth configuration is used as a candidate configuration, and the second control information selects the second candidate configuration as the target configuration. When the DCI indicates to activate the target signal, the second candidate configuration is used as the target configuration. Send it. Wherein, the second control information may be the DCI used to indicate the activation of the target signal or other DCIs. When the second control information is the DCI used to indicate the activation of the target signal, different fields may be set in the DCI. ) To indicate that the target configuration is determined in a plurality of predefined configurations or to indicate that the target signal is activated, which is not limited in the embodiment of the present application.

The first implementation manner described above does not need to introduce any signaling overhead when determining the target configuration. The above-mentioned second implementation manner can semi-statically adjust the configuration parameters in the target configuration, and has better flexibility. The above-mentioned third implementation manner can predefine multiple target configurations, taking into account different communication scenarios, so as to comprehensively train the ML model. The fourth implementation manner described above can dynamically select the target configuration, which is especially suitable for communication scenarios where the learning environment changes rapidly. Compared with the foregoing fourth implementation manner, the foregoing fifth implementation manner can reduce control information overhead while maintaining certain selection flexibility.

Step 502: The terminal uses the at least two target configurations to send at least two target signals to the base station.

The at least two target signals are signals sent using at least two target configurations for the same original information. For the description of the related process, please refer to the above step 401 and the above description related to the target configuration.

Step 503: The base station receives the at least two target signals.

The at least two target signals are respectively sent to the base station in at least two time domain units. Optionally, the at least two target signals may be respectively transmitted to the base station in at least two frequency domain units.

Step 504: The base station uses the target configuration for the at least two target signals to perform signal receiving end processing to generate target information.

The target information and the original information can be used to form a set of training samples of the ML model. The content of the target information corresponds to the content of the original information. For example, if the original information is a known set of bits, the target information is also a set of bits, and the set of bits is the received at least two target signals. A set of bits generated after a target signal in the target configuration is processed by the signal receiving end. In the embodiments of the present application, the original information is a known set of bits, and the target information is also a set of bits.

The signal receiving end is a wireless signal receiving device. In the embodiment of the present application, the signal receiving end is a base station. The signal receiving end processing can be the reverse process of the wireless signal sending device sending a known set of bits according to the target configuration. The process depends on the scheduling parameters and the target configuration of the known set of bits. The target parameter values are described below with the above eight target configurations as examples.

The at least two target signals are processed at the signal receiving end according to the target configuration, and the process of generating target information may include:

Using MCS and MCS target parameter values for the at least two target signals to perform signal receiving end processing to generate target information;

Or, using the first target parameter values of MCS, TBS, MCS, and TBS for the at least two target signals to perform signal receiving end processing to generate target information;

Or, using the first target parameter values of MCS, TBS, MCS, and TBS, the antenna port, and the second target parameter value of the antenna port for the at least two target signals to perform signal receiving end processing to generate target information;

Or, the at least two target signals are processed by the signal receiving end using the first target parameter value of MCS, TBS, MCS, and TBS, the third target parameter value of precoding, number of layers, precoding, and number of layers to generate target information ；

Or, the at least two target signals are processed by the signal receiving end using the first target parameter values of MCS, TBS, MCS, and TBS, the transmission waveform, and the fourth target parameter value of the transmission waveform to generate target information;

Or, using the first target parameter values of MCS, TBS, MCS, and TBS, the transformation precoder configuration, and the fifth target parameter value of the transformation precoder configuration for the at least two target signals to perform signal receiving end processing to generate target information ；

Or, using the first target parameter values of MCS, TBS, MCS, and TBS, numerology, and the sixth target parameter value of numerology for the at least two target signals to perform signal receiving end processing to generate target information;

Alternatively, the at least two target signals are processed by the signal receiving end using the first target parameter values of MCS, TBS, MCS, and TBS, the sixth target parameter values of numerology and numerology, and the BWP and the seventh target parameter value of BWP to generate Target information

Alternatively, the at least two target signals are processed by the signal receiving end using the first target parameter values and power values of MCS, TBS, MCS, and TBS to generate target information.

Step 505: The base station uses the training samples to train the ML model, and obtains the training result.

Step 506: The base station optimizes its uplink scheduler based on the training result.

For related content in steps 501 to 506 above, reference may be made to the foregoing introduction, and details are not described in the embodiment of the present application.

It should be noted that in the embodiments of this application, the training sample includes target information and original information as an example for description. In other optional implementation manners, the training sample may only include target information, or the training sample may only include target configuration. Etc., the embodiment of the present application does not limit this.

In summary, in the signal transmission method provided by the embodiments of the present application, the base station can be provided with a target signal that traverses various scheduling parameters, target parameter values of the scheduling parameters, frequency domain resources, and time domain resources, and the target signal corresponds to a target signal. A training sample composed of a set of target bits and a known set of bits can train an ML model for uplink AMC, frequency domain resource selection, and time domain resource selection. The base station can optimize the base station's uplink scheduler based on the training results output by the ML model .

It is understandable that, during actual implementation of the embodiment of the present application, all or part of the steps in the foregoing step 501 to step 506 may be executed according to actual needs, and the embodiment of the present application does not limit this.

In the second case, the receiving device of the wireless signal is a terminal, and the transmitting device of the wireless signal is a base station. This situation may correspond to the implementation environment shown in FIG. 2 above. As shown in FIG. 15, the signal transmission method may include:

Step 601: The base station sends at least two target signals to the terminal.

The at least two target signals are signals sent using at least two target configurations for the same set of known bits.

Wherein, each of the at least two target configurations may be determined by the base station itself, and the determination method may include: the base station determines the target configuration according to a predefined; the base station determines the target configuration in a plurality of predefined configurations .

Step 602: The terminal receives the at least two target signals.

The at least two target signals are respectively sent to the terminal in at least two time domain units. Optionally, the at least two target signals may be sent to the terminal in at least two frequency domain units, respectively.

Step 603: The terminal uses the target configuration for the at least two target signals to perform signal receiving end processing to generate target information.

The target information and the original information form a set of training samples of the ML model. For the relevant description of the processing at the signal receiving end, reference may be made to the relevant description in the foregoing step 504, which is not repeated in this embodiment of the present application.

Step 604: The terminal uses the training sample to train the ML model, and obtains the training result.

Step 605: The terminal sends the training result to the base station.

Step 606: The base station receives the training result.

Step 607: The base station optimizes its downlink scheduler based on the training result.

For the related content in the above steps 601 to 607, reference may be made to the foregoing introduction, and details are not described in the embodiment of the present application.

In summary, in the signal transmission method provided by the embodiments of the present application, the terminal can be provided with a target signal that traverses various scheduling parameters, scheduling parameter target parameter values, frequency domain resources, and time domain resources, and the target signal corresponding to the target signal The training samples composed of information and original information can be used to train ML models for downlink AMC, frequency domain resource selection, and time domain resource selection. The terminal uploads the ML training result to the base station, and the base station can optimize the base station's performance based on the training result. Downlink scheduler.

It can be understood that, during actual implementation of the embodiment of the present application, all or part of the above steps 601 to 607 may be executed according to actual needs, which is not limited by the embodiment of the present application.

FIG. 16 shows a block diagram of a wireless signal sending device 800 provided by an embodiment of the present application. The device 800 includes:

The sending module 801 is used to send at least two target signals,

The at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the target configuration is a combination of a set of scheduling parameters and target parameter values of the scheduling parameters.

Optionally, the target configuration is determined according to at least one of the following methods:

The target configuration is predefined;

The target configuration is determined according to the first higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the second higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the first DCI;

The target configuration is a candidate configuration determined from a plurality of predefined configurations according to the third high layer signaling, and the candidate configuration is determined in the candidate configuration according to the second DCI.

Optionally, the target configuration includes at least two scheduling parameters, and the target configuration is determined according to the first higher layer signaling and includes:

The scheduling parameters in the target configuration are determined according to the first higher layer signaling;

Or, the target parameter values of all the scheduling parameters in the target configuration are determined according to the first higher layer signaling,

Alternatively, the target parameter values of some of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, and the target parameter values of the other partial scheduling parameters are predefined.

Optionally, the scheduling parameters of the target configuration include at least one of the following:

MCS, TBS, transmission waveform, power parameters, antenna port, precoding, number of layers, RS parameters, BWP, numerology, SCS and CP.

Optionally, the target configuration includes MCS and target parameter values of MCS,

At least one of the at least two target signals is a signal that uses a target MCS to modulate and encode the original information for transmission;

The target MCS is the MCS whose index number is the target parameter value in the MCS index table.

Optionally, the target configuration includes MCS, TBS, and first target parameter values of MCS and TBS,

At least one of the at least two target signals is a signal that uses the target MCS and TBS to send the original information;

The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, antenna ports, and second target parameter values of antenna ports, and at least one of the at least two target signals is The original information uses the target MCS and TBS, and the signal sent by the target antenna port;

The target antenna port is the antenna port whose index number is the second target parameter value in the antenna port index table, and the target MCS and TBS are MCS and the MCS whose index number is the first target parameter value in the TBS index table And TBS.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, precoding, number of layers, and third target parameter values of precoding and number of layers,

At least one target signal of the at least two target signals is a signal that uses target MCS and TBS, and target precoding and number of layers to send the original information;

The target precoding and the number of layers are the precoding and the number of layers in the precoding and layer number index table whose index number is the third target parameter value, and the target MCS and TBS are the indexes in the MCS and TBS index table The numbers are the MCS and TBS of the first target parameter value.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, a transmission waveform, and a fourth target parameter value of the transmission waveform, and at least one of the at least two target signals is The original information adopts the target MCS and TBS, and the signal sent by the target transmission waveform;

The target MCS and TBS are MCS and TBS whose index numbers in the MCS and TBS index table are the first target parameter value, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, a transform precoder (Transform Precoder) configuration, and a fifth target parameter value of the transform precoder configuration. At least one target signal of the at least two target signals is a signal sent by using the target MCS and TBS as the original information, and the target transformation precoder configuration;

The transform precoder is configured to generate the transmission waveform, the target transform precoder is configured as a transform precoder whose fifth target parameter value of the transform precoder is enabled or disabled, and the target MCS and TBS is the MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, numerology and sixth target parameter values of numerology, and at least one of the at least two target signals is The original information uses the target MCS and TBS, and the signal sent by the target numerology. The target MCS and TBS are the MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table, and the target numerology is the numerology index table. The middle index number is the numerology of the sixth target parameter value.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, sixth target parameter values of numerology and numerology, BWP and seventh target parameter values of BWP, and the at least two At least one of the target signals is a signal sent by using the original information using target MCS and TBS, target numerology, and target BWP;

The target MCS and TBS are the MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table, and the target numerology is the numerology whose index number is the sixth target parameter value in the numerology index table, The seventh target parameter value of the BWP corresponds to the target BWP.

Optionally, the scheduling parameters of the target configuration include first target parameter values and power parameters of MCS, TBS, MCS, and TBS,

At least one of the at least two target signals is a signal that uses target MCS and TBS and target power parameters to send the original information;

The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, each of the target signals is respectively transmitted in at least two frequency domain units.

Optionally, the at least two target signals are respectively transmitted in at least two time domain units.

Optionally, the original information includes a known set of bits.

Optionally, the set of bits is a set of randomly generated bits.

Optionally, the at least two target signals are generated using at least two target configurations for the same original information, including:

The at least two target signals are generated using at least two target configurations for a group of bits of a specified length in the same original information;

Wherein, the specified length is predefined, or configured according to high-level signaling, or calculated and determined according to a specified method.

Optionally, as shown in FIG. 17, the apparatus 800 further includes:

The receiving module 802 is configured to: after the sending module 801 sends the at least two target signals, the receiver machine learns the training result of the ML model, and the training result is a training sample composed of the target information and the original information. The model is obtained by training, and the target information is obtained by processing the at least two target signals at the signal receiving end using the target configuration.

Optionally, as shown in FIG. 18, the apparatus 800 further includes:

The processing module 803 is configured to determine the at least two target configurations.

The receiving module 802 is configured to receive first high-layer signaling, and the processing module 803 determines the target configuration according to the first high-layer signaling;

Alternatively, the receiving module 802 is configured to receive second high-layer signaling, and the processing module 803 determines a target configuration from a plurality of predefined configurations according to the second high-layer signaling;

Alternatively, the receiving module 802 is configured to receive a first DCI, and the processing module 803 determines a target configuration from a plurality of predefined configurations according to the first DCI;

Alternatively, the receiving module 802 is configured to receive the third high-layer signaling and the second DCI, the processing module 803 determines candidate configurations from a plurality of predefined configurations according to the third high-layer signaling, and the processing module 803 determines a target configuration in the candidate configuration according to the second DCI.

To sum up, in the wireless signal sending device provided in the embodiment of the present application, by sending at least two target signals respectively transmitted in at least two time domain units, the at least two target signals adopt at least the same original information. Two target configurations are generated so that the wireless signal receiving device can receive wireless signals of multiple configurations transmitted in the current communication environment. The wireless signal can be used to optimize the ML model in the wireless signal receiving device and improve the ML model The accuracy of the output training results.

Since the original information is known to the receiving device of the wireless signal, the receiving device of the wireless signal can determine the accuracy of the training result output by the ML model based on the original information and the target information corresponding to the received target signal. Help optimize the ML model.

FIG. 19 shows another wireless signal receiving device 900 provided by an embodiment of the present application, and the device includes:

The receiving module 901 is configured to receive at least two target signals, where the at least two target signals are signals sent using at least two target configurations for the same original information.

Optionally, the target configuration is a combination of a set of scheduling parameters and target parameter values of the scheduling parameters.

Optionally, the target configuration is determined according to at least one of the following methods:

The target configuration is predefined;

The target configuration is determined according to the first higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the second higher layer signaling;

The target configuration is determined in a plurality of predefined configurations according to the first DCI;

The target configuration is a candidate configuration determined from a plurality of predefined configurations according to the third high layer signaling, and the candidate configuration is determined in the candidate configuration according to the second DCI.

Optionally, the target configuration includes at least two scheduling parameters, and the target configuration is determined according to the first higher layer signaling and includes:

The scheduling parameters in the target configuration are determined according to the first higher layer signaling;

Or, the target parameter values of all the scheduling parameters in the target configuration are determined according to the first higher layer signaling,

Alternatively, the target parameter values of some of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, and the target parameter values of other partial scheduling parameters are predefined.

Optionally, the scheduling parameters of the target configuration include at least one of the following:

MCS, TBS, transmission waveform, power parameters, antenna port, precoding, number of layers, RS parameters, BWP, numerology, SCS and CP.

Optionally, each of the wireless signals is respectively transmitted in at least two frequency domain units.

Optionally, the original information is a set of randomly generated bits.

Optionally, the at least two target signals are generated using at least two target configurations for the same original information, including:

The at least two target signals are generated using at least two target configurations for a group of bits of a specified length in the same original information;

Wherein, the specified length is predefined, or the specified length is configured according to higher layer signaling, or the specified length is calculated and determined according to a specified device.

Optionally, as shown in FIG. 20, the apparatus 900 includes:

The generating module 902 is configured to, after receiving the at least two target signals, apply the target configuration to the at least two target signals for signal receiving end processing to generate target information,

The target information and the original information form a set of training samples of a machine learning ML model.

Optionally, the target configuration includes MCS and target parameter values of the MCS, and at least one target signal of the at least two target signals is a signal obtained by modulating and encoding the original information using the target MCS. Using the target configuration for the at least two target signals for signal receiving end processing, and the process of generating target information may include: using MCS and MCS target parameter values for the at least two target signals to perform signal receiving end processing to generate target information. The target MCS is the MCS whose index number is the target parameter value in the MCS index table.

Optionally, the target configuration includes MCS, TBS, and first target parameter values of MCS and TBS, and at least one of the at least two target signals is to send the original information using the target MCS and TBS signal of. The at least two target signals are processed at the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals to process the signal at the receiving end using the first target parameter values of MCS, TBS, MCS, and TBS , Generate target information. The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, antenna ports, and second target parameter values of antenna ports, and at least one of the at least two target signals is The original information uses the target MCS and TBS, and the signal sent by the target antenna port. The at least two wireless signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals to MCS, TBS, MCS, and TBS first target parameter values, antenna ports, and antennas The second target parameter value of the port is processed by the signal receiving end to generate target information. The target antenna port is the antenna port whose index number is the second target parameter value in the antenna port index table, and the target MCS and TBS are MCS and the MCS whose index number is the first target parameter value in the TBS index table And TBS.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, precoding, number of layers, and third target parameter values of precoding and number of layers. Among the at least two target signals, The at least one target signal is a signal that uses the target MCS and TBS, and the target precoding and the number of layers to send the original information. The at least two target signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals with MCS, TBS, MCS, and TBS first target parameter values, precoding, and layer The third target parameter values of the number, precoding, and layer number are processed by the signal receiving end to generate target information. The target precoding and the number of layers are the precoding and layer numbers in the precoding and layer number index table whose index number is the third target parameter value, and the target MCS and TBS are the index numbers in the MCS and TBS index table Is the MCS and TBS of the first target parameter value.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS, and TBS, a transmission waveform, and a fourth target parameter value of the transmission waveform, and at least one of the at least two target signals is The original information uses the target MCS and TBS, and the signal sent by the target transmission waveform. The at least two target signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals to MCS, TBS, MCS, and TBS first target parameter values, transmission waveforms, and transmission The fourth target parameter value of the waveform is processed by the signal receiving end to generate target information. The target MCS and TBS are MCS and TBS whose index numbers in the MCS and TBS index table are the first target parameter value, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, a transform precoder (Transform Precoder) configuration, and a fifth target parameter value of the transform precoder configuration. At least one of the at least two target signals is a signal sent using the original information using the target MCS and TBS, and the target transformation precoder is configured; the transformation precoder is configured to generate the transmission waveform. The at least two target signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: adopting the at least two target signals with MCS, TBS, MCS, and TBS first target parameter values, transforming the precoder Configure and transform the fifth target parameter value configured by the precoder to process the signal at the receiving end to generate target information. The target transform precoder is configured as a transform precoder whose fifth target parameter value configured by the transform precoder is enabled or disabled, and the target MCS and TBS are the MCS and TBS index table where the index number is the first MCS and TBS of a target parameter value.

Optionally, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, numerology and sixth target parameter values of numerology, and at least one of the at least two target signals is The original information uses the target MCS and TBS, and the signal sent by the target numerology. The at least two wireless signals are processed by the signal receiving end using the target configuration, and the process of generating the target information may include: using the at least two wireless signals with MCS, TBS, MCS, and TBS first target parameter values, numerology and numerology The sixth target parameter value is processed by the signal receiving end to generate target information. The target MCS and TBS are MCS and TBS in the MCS and TBS index table whose index number is the first target parameter value, and the target numerology is the numerology whose index number is the sixth target parameter value in the numerology index table.

Optionally, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS, and TBS, sixth target parameter values of numerology and numerology, BWP and seventh target parameter values of BWP, and the at least two At least one target signal in the two target signals is a signal that uses the target MCS and TBS, target numerology, and target BWP to send the original information. The at least two target signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals with MCS, TBS, MCS, and TBS first target parameter values, numerology, and numerology. The sixth target parameter value, the BWP, and the seventh target parameter value of the BWP are processed by the signal receiving end to generate target information. The target MCS and TBS are MCS and TBS in the MCS and TBS index table whose index number is the first target parameter value, and the target numerology is the numerology whose index number is the sixth target parameter value in the numerology index table. The seventh target parameter value of the BWP corresponds to the target BWP.

Optionally, the scheduling parameters of the target configuration include first target parameter values and power parameters of MCS, TBS, MCS, and TBS, and at least one target signal of the at least two target signals is a target signal used for the original information. MCS, TBS, and target power value to send the signal. The at least two target signals are processed by the signal receiving end using the target configuration, and the process of generating target information may include: using the at least two target signals to signal the first target parameter values and power parameters of MCS, TBS, MCS, and TBS The receiving end processes and generates target information. The target MCS and TBS are MCS and TBS whose index number is the first target parameter value in the MCS and TBS index table.

Optionally, as shown in FIG. 21, the apparatus 900 includes:

The training module 903 is configured to, after receiving the at least two target signals, use the training samples to train the ML model to obtain a training result;

The sending module 904 is configured to send the training result.

Optionally, as shown in FIG. 22, the apparatus 900 includes:

The processing module 905 is configured to generate first high-layer signaling, where the first high-layer signaling is used to determine the target configuration;

Alternatively, the processing module 905 is configured to generate second high-level signaling, and the second high-level signaling is used to determine a target configuration among a plurality of predefined configurations;

Alternatively, the processing module 905 is configured to generate a first DCI, and the first DCI is configured to determine a target configuration among a plurality of predefined configurations;

Alternatively, the processing module 905 is configured to generate a third high layer signaling and a second DCI, where the third high layer signaling is used to determine a candidate configuration among a plurality of predefined configurations, and the second DCI uses To determine the target configuration among the candidate configurations.

Optionally, the sending module 904 is configured to send first higher layer signaling;

Alternatively, the sending module 904 is configured to send second high-layer signaling;

Or, the sending module 904 is used to send the first DCI;

Alternatively, the sending module 904 is used to send the third higher layer signaling and the second DCI.

In summary, in the wireless signal receiving device provided by the embodiment of the present application, by receiving at least two target signals respectively transmitted in at least two time domain units, the at least two wireless signals adopt at least the same original information. Two target configurations are generated so that the wireless signal receiving device can receive wireless signals of multiple configurations transmitted in the current communication environment. The wireless signal can be used to optimize the ML model in the wireless signal receiving device and improve the ML model The accuracy of the output training results.

Since the original information is known to the receiving device of the wireless signal, the receiving device of the wireless signal can determine the accuracy of the training result output by the ML model based on the original information and the target information corresponding to the received target signal. Help optimize the ML model.

Please refer to FIG. 23, which shows a block diagram of a wireless signal sending device provided by an exemplary embodiment of the present application. The wireless signal sending device may be a terminal or a base station, and includes: a processor 101, a receiver 102, Transmitter 103, memory 104, and bus 105.

The processor 101 includes one or more processing cores, and the processor 101 executes various functional applications and information processing by running software programs and modules.

The receiver 102 and the transmitter 103 may be implemented as a communication component, and the communication component may be a communication chip.

The memory 104 is connected to the processor 101 through a bus 105.

The memory 104 may be used to store at least one instruction, and the processor 101 is used to execute the at least one instruction to implement each step executed by the first IAB base station in the foregoing method embodiment.

In addition, the memory 104 can be implemented by any type of volatile or non-volatile storage device or a combination thereof. The volatile or non-volatile storage device includes, but is not limited to: magnetic disks or optical disks, electrically erasable and programmable Read-only memory (EEPROM), erasable programmable read-only memory (EPROM), static anytime access memory (SRAM), read-only memory (ROM), magnetic memory, flash memory, programmable read-only memory (PROM) .

Wherein, the configuration steps related to the target configuration in the foregoing method may be executed by the processor 101. For example, the processor 101 may be used to determine the target configuration according to the first high-layer signaling, or used to determine the target configuration in a plurality of predefined configurations according to the second high-layer signaling, or, according to the first DCI in the predefined configuration The target configuration is determined from the multiple configurations, or the candidate configuration is determined from the multiple predefined configurations according to the third higher layer signaling, and the target configuration is determined from the candidate configurations according to the second DCI. The steps related to receiving signaling or DCI in the foregoing method may be performed by the receiver 102. For example, the receiver 102 is configured to receive the first high layer signaling, or the second high layer signaling, or the first DCI, or the third high layer signaling and the second DCI. The steps related to sending in the foregoing method may be executed by the transmitter 103. For example, the transmitter 103 transmits at least two target signals.

The present application provides a computer-readable storage medium in which at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the signal transmission method provided by each method embodiment described above.

The present application also provides a computer program product, which when the computer program product runs on a computer, causes the computer to execute the signal transmission method provided by the foregoing method embodiments.

The present application also provides a chip that includes a programmable logic circuit and/or program instructions, and when the chip is running, it is used to implement the signal transmission methods provided by the foregoing method embodiments.

Please refer to FIG. 24, which shows a block diagram of a wireless signal receiving apparatus provided by an exemplary embodiment of the present application. The wireless signal receiving apparatus may be a terminal or a base station, and includes: a processor 111, a receiver 112, Transmitter 113, memory 114, and bus 115.

The processor 111 includes one or more processing cores, and the processor 111 executes various functional applications and information processing by running software programs and modules.

The receiver 112 and the transmitter 113 may be implemented as a communication component, and the communication component may be a communication chip.

The memory 114 is connected to the processor 111 through a bus 115.

The memory 114 may be used to store at least one instruction, and the processor 111 is used to execute the at least one instruction, so as to implement each step executed by the first IAB base station in the foregoing method embodiment.

In addition, the memory 114 can be implemented by any type of volatile or non-volatile storage device or a combination thereof. The volatile or non-volatile storage device includes, but is not limited to: magnetic disks or optical disks, electrically erasable and programmable Read-only memory (EEPROM), erasable programmable read-only memory (EPROM), static anytime access memory (SRAM), read-only memory (ROM), magnetic memory, flash memory, programmable read-only memory (PROM) .

Wherein, the configuration steps related to the target configuration in the foregoing method may be executed by the processor 111. For example, the processor 111 may be used to generate first high layer signaling, or used to generate second high layer signaling, or used to generate first DC, or used to generate third high layer signaling and second DCI. The steps related to sending signaling or DCI in the foregoing method may be performed by the transmitter 113. For example, the transmitter 113 is configured to send the first high-layer signaling, or send the second high-layer signaling, or send the first DCI, or send the third high-layer signaling and the second DCI. The steps related to receiving in the foregoing method may be executed by the receiver 112. For example, the receiver 112 receives at least two target signals.

The present application provides a computer-readable storage medium in which at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the signal transmission method provided by each method embodiment described above.

The present application also provides a computer program product, which when the computer program product runs on a computer, causes the computer to execute the signal transmission method provided by the foregoing method embodiments.

The present application also provides a chip that includes a programmable logic circuit and/or program instructions, and when the chip is running, it is used to implement the signal transmission methods provided by the foregoing method embodiments.

A person of ordinary skill in the art can understand that all or part of the steps in the above embodiments can be implemented by hardware, or by a program to instruct relevant hardware. The program can be stored in a computer-readable storage medium. The storage medium mentioned can be a read-only memory, a magnetic disk or an optical disk, etc.

The above descriptions are only preferred embodiments of this application, and are not intended to limit this application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included in the protection of this application. Within range.

Claims (18)

A signal transmission method, characterized in that the method includes: At least two target signals are received or sent, where the at least two target signals are signals sent using at least two target configurations for the same original information. The method according to claim 1, wherein after the receiving at least two target signals, the method comprises: Using the target configuration to process the at least two target signals at the signal receiving end to generate target information, The target information and the original information form a set of training samples of a machine learning ML model. The method according to claim 2, wherein after the receiving at least two target signals, the method comprises: Training the ML model by using the training sample to obtain a training result; Send the training result. The method according to claim 1, wherein after the sending at least two target signals, the method comprises: The receiver machine learns the training result of the ML model, the training result is obtained by training the ML model according to a training sample composed of target information and the original information, and the target information is obtained by using the at least two target signals The target configuration is obtained by processing the signal receiving end. A wireless signal sending device, characterized in that the device includes: The sending module is used to send at least two target signals, The at least two target signals are signals sent using at least two target configurations for the same original information. The device according to claim 5, wherein the device further comprises: The receiving module is configured to, after sending the at least two target signals, the receiver machine learns the training result of the ML model, and the training result is obtained by training the ML model according to the training sample composed of the target information and the original information Yes, the target information is obtained by performing signal receiving end processing on the at least two target signals using the target configuration. A wireless signal receiving device, characterized in that the device includes: The receiving module is configured to receive at least two target signals, where the at least two target signals are signals sent using at least two target configurations for the same original information. The device according to claim 7, wherein the device comprises: A generating module, configured to, after receiving the at least two target signals, use the target configuration to process the at least two target signals on the signal receiving end to generate target information, The target information and the original information form a set of training samples of a machine learning ML model. The device according to claim 8, wherein the device comprises: A training module, configured to train the ML model by using the training samples after receiving the at least two target signals to obtain a training result; The sending module is used to send the training result. A signal transmission system, wherein the system includes a wireless signal sending device and a wireless signal receiving device, the wireless signal sending device includes the wireless signal sending device according to claim 5 or 6, and The wireless signal receiving device includes the wireless signal receiving device according to any one of claims 7 to 9. A wireless signal sending device, characterized in that the device includes a transmitter, The transmitter is configured to send at least two target signals, and the at least two target signals are signals sent using at least two target configurations for the same original information. The device according to claim 11, wherein the device further comprises a receiver, The receiver is configured to receive at least two target signals, and the at least two target signals are signals sent using at least two target configurations for the same original information. A wireless signal receiving device, characterized in that the device includes a receiver, The receiver is configured to receive at least two target signals, and the at least two target signals are signals sent using at least two target configurations for the same original information. The device according to claim 13, wherein the device further comprises a processor, The processor is configured to, after the receiver receives the at least two target signals, use the target configuration to process the at least two target signals on the signal receiving end to generate target information, The target information and the original information form a set of training samples of a machine learning ML model. The device according to claim 14, wherein the device further comprises a transmitter, The processor is configured to, after the receiver receives the at least two target signals, use the training samples to train the ML model to obtain a training result; The transmitter is used to send the training result. A computer-readable storage medium, characterized in that, the computer-readable storage medium stores at least one instruction, and the at least one instruction is used to be executed by a processor to implement any one of the preceding claims 1 to 4 Signal transmission method. A chip, characterized in that the chip includes a programmable logic circuit and/or program instructions, and is used to implement the signal transmission method according to any one of claims 1 to 4 when the chip is running. A computer program product, wherein the computer program product includes one or more computer programs, and when the computer program is executed by a processor, it is used to realize the signal transmission according to any one of claims 1 to 4 method.

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