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WO2024055739A1 - Procédé de détermination de canal de liaison montante, terminal et dispositif de réseau - Google Patents

Procédé de détermination de canal de liaison montante, terminal et dispositif de réseau Download PDF

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Publication number
WO2024055739A1
WO2024055739A1 PCT/CN2023/107293 CN2023107293W WO2024055739A1 WO 2024055739 A1 WO2024055739 A1 WO 2024055739A1 CN 2023107293 W CN2023107293 W CN 2023107293W WO 2024055739 A1 WO2024055739 A1 WO 2024055739A1
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WO
WIPO (PCT)
Prior art keywords
channel
uplink channel
sta
reinforcement learning
idle
Prior art date
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Ceased
Application number
PCT/CN2023/107293
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English (en)
Chinese (zh)
Inventor
王和俊
王滨后
徐芳
孙可欣
谢刚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Haier Smart Technology R&D Co Ltd
Haier Smart Home Co Ltd
Original Assignee
Qingdao Haier Smart Technology R&D Co Ltd
Haier Smart Home Co Ltd
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Filing date
Publication date
Application filed by Qingdao Haier Smart Technology R&D Co Ltd, Haier Smart Home Co Ltd filed Critical Qingdao Haier Smart Technology R&D Co Ltd
Publication of WO2024055739A1 publication Critical patent/WO2024055739A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application relates to the field of wireless communication technology, for example, to a method for determining an uplink channel, a terminal, and network equipment.
  • the cooperative scheduling methods between multiple APs mainly include C-OFDMA (Coordinated Orthogonal Frequency-Division Multiple Access, Coordinated Orthogonal Frequency Division Multiple Access) and CBF (Coordinated Beamforming, Coordinated Beamforming).
  • C-OFDMA Coordinatd Orthogonal Frequency-Division Multiple Access
  • CBF Coordinated Beamforming
  • the AP Wired Access Point, wireless access point
  • OFDMA Orthogonal Frequency-Division Multiple Access, Orthogonal Frequency Division Multiple Access
  • RU Resource Unit, spectrum resource block
  • allocating appropriate RUs to STA requires sufficient CSI (Channel State Information) or sufficient channel estimation;
  • C-OFDMA uses orthogonal channels to suppress interference and transmit correctly, but in In the case of loss of coordination, the AP cannot guarantee that the channels are orthogonal, so it cannot suppress interference through orthogonal channels.
  • the utilization rate of the channel will also be reduced.
  • the channel information fed back by the STA to the AP under CBF is incomplete, making it difficult for the AP to effectively estimate the channel.
  • Embodiments of the present disclosure provide a method, terminals, and network equipment for determining uplink channels, thereby completing channel allocation when the CSI is unknown or the CSI information is incomplete, thereby improving system throughput and improving channel efficiency. Utilization.
  • the method for determining the uplink channel, applied to terminal equipment STA includes:
  • the trigger instruction is used to trigger the STA to sense the channel status
  • the channel status will be sensed again after the set backoff time.
  • accessing the uplink channel for data transmission includes:
  • the performance information of the corresponding channel is updated according to the transmission result, and the new data packet arrival indication is received;
  • the performance information of the corresponding channel is updated according to the transmission result, and the data transmission instruction is re-executed.
  • determining the uplink channel based on the performance information of the idle channel includes:
  • the idle channel with the best ability to successfully transmit data packets is determined as the uplink channel.
  • the determination of the uplink channel includes:
  • the uplink channel is determined according to the output of the reinforcement learning-based uplink channel selection model.
  • the training of the uplink channel selection model based on reinforcement learning includes:
  • the uplink channel selection model based on reinforcement learning is trained according to the reward parameter R t to obtain the channel corresponding to the system action that maximizes the reward parameter R t as the uplink channel.
  • the establishment of the uplink channel selection model based on reinforcement learning includes:
  • C t represents the average network throughput at time t
  • N represents the total number of STAs
  • training the reinforcement learning-based uplink channel selection model according to the reward parameter Rt includes:
  • Q t represents the Q value of the current state
  • Q t+1 represents the Q value of the next state moment
  • ⁇ represents the learning rate of reinforcement learning, with a value of (0,1)
  • ⁇ represents the emphasis on historical rewards.
  • the value is (0,1)
  • maxQ t (S′,A′) represents the maximum Q value of all possible action strategies at the next moment.
  • the method for determining an uplink channel, applied to an access point AP includes:
  • the trigger instruction is used to trigger the STA to sense the channel status
  • a terminal device including a processor and a memory
  • the memory is used to store a computer program
  • the processor is used to call and run the program stored in the memory, and perform the above-mentioned determination.
  • Upstream channel method including a processor and a memory, the memory is used to store a computer program, the processor is used to call and run the program stored in the memory, and perform the above-mentioned determination. Upstream channel method.
  • a network device including a processor and a communication interface.
  • the communication interface is used to communicate with other network devices; the processor is used to run a set of programs, so that the network device implements the above-mentioned functions. Method to determine the upstream channel.
  • the method, terminal and network device for determining the uplink channel provided by the embodiments of the present disclosure can achieve the following technical effects:
  • the terminal STA senses the channel status and determines the uplink channel based on the channel performance in the idle channel for data transmission. In this way, in the case of unknown CSI information or incomplete CSI information such as communication loss, the uplink channel selection can be completed through the STA, which can achieve a greater throughput improvement, maximize channel utilization, and reduce the probability of collision between channels. , improve the spectral efficiency of the system.
  • Figure 1 is a schematic diagram of an environmental system according to an embodiment of the present disclosure
  • Figure 2 is a schematic flowchart of a method for determining an uplink channel provided by an embodiment of the present disclosure
  • Figure 3 is a schematic flowchart of another method for determining an uplink channel provided by an embodiment of the present disclosure
  • Figure 4 is a schematic diagram of the training process of the uplink channel selection model based on reinforcement learning in an embodiment of the present disclosure
  • Figure 5 is a schematic flowchart of another method for determining an uplink channel provided by an embodiment of the present disclosure
  • Figure 6 is a schematic flowchart of another method for determining an uplink channel provided by an embodiment of the present disclosure
  • Figure 7 is an application schematic diagram of an embodiment of the present disclosure.
  • Figure 8 is a schematic diagram of a terminal device provided by an embodiment of the present disclosure.
  • Figure 9 is a schematic diagram of a network device provided by an embodiment of the present disclosure.
  • the character "/" indicates that the preceding and following objects are in an "or" relationship.
  • A/B indicates: A or B.
  • a and/or B means: A or B, or A and B.
  • correspondence can refer to an association relationship or a binding relationship.
  • correspondence between A and B refers to an association relationship or a binding relationship between A and B.
  • AP represents a wireless access point, which may be a router, a gateway or a combined router-gateway.
  • STA represents a user terminal, which may be a mobile terminal or station connected to the AP via a communication connection function to obtain access to AP system resources (eg, network). It can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (Personal Digital Assistant, PDA) device, a device with wireless communication capabilities Handheld devices, computing devices or other processing devices connected to wireless modems, vehicle-mounted devices, wearable devices, next-generation communication systems such as terminal devices in NR networks, or future evolved Public Land Mobile Networks (PLMN) Terminal equipment in the network, etc.
  • AP system resources eg, network
  • AP system resources eg, network
  • It can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (Personal Digital Assistant, PDA) device, a
  • virtual reality Virtual Reality, VR
  • AR Augmented Reality
  • industrial control industrial control
  • Wireless terminal equipment in self-driving self driving
  • wireless terminal equipment in remote medical remote medical
  • wireless terminal equipment in smart grid smart grid
  • transportation safety transportation safety
  • Figure 1 shows a schematic diagram of an environmental system provided by an embodiment of the present disclosure.
  • the environmental system includes multiple APs and multiple STAs.
  • each AP can access one or more STAs; each STA can also access one or more APs.
  • an AP can connect to a STA and establish at least two channels. As shown in Figure 1, STA1 and AP1; one AP can also be connected to two STAs and establish at least two channels. As shown in Figure 1, STA2, AP2, and AP3.
  • Each STA can obtain channel sensing information and data transmission information of one or more channels between it and the accessed AP. Each STA can also sense and obtain the interference power of other APs in the group to the STA.
  • each channel needs to be responsible for carrying uplink and downlink data.
  • the STA and AP will perform carrier sense multiple access (CSMA)/enhanced distributed channel access. (enhanced distributed channel access, EDCA) backoff, an air interface collision may occur after data is sent. If an air interface collision occurs, the data transmission fails and needs to be resent.
  • CSMA carrier sense multiple access
  • EDCA enhanced distributed channel access
  • the downlink needs to wait for the uplink transmission to complete before data can be sent.
  • the uplink needs to wait for the downlink sending to complete before data can be sent. Therefore, uplink and downlink data may collide, and the waiting time for data transmission may be extended, affecting the channel utilization and data throughput of the system.
  • the uplink channel in this embodiment is responsible for transmitting information data from the STA to the AP.
  • An idle channel refers to an unoccupied channel among the multiple channels accessed.
  • the idle channel can be determined among the accessed channels by searching for a channel that emits an idle signal, or by searching for a carrier-free channel.
  • the above-mentioned environment system may also include other network entities such as network controllers and mobility management entities, which are not limited in the embodiments of the present application.
  • embodiments of the present disclosure provide a method for determining an uplink channel, so that the STA can determine the uplink channel in the allocated resources and access the upload data.
  • this method is applied to terminal equipment STA, including:
  • Step S201 The STA receives a trigger instruction; the trigger instruction is used to trigger the STA to sense the channel state.
  • the trigger command is used to inform the STA that the data packet has arrived, and it can sense the channel status to transmit the data packet.
  • Step S202 If there is an idle channel, the STA determines the uplink channel based on the performance information of the idle channel, and accesses the uplink channel for data transmission.
  • Step S203 If there is no idle channel, the STA senses the channel status again after the set backoff time.
  • the STA begins to sense the channel status. If no idle channel is sensed, the data packet backs off and continues sensing; if the idle state is sensed, the uplink channel is determined in the idle state based on the performance information of the idle state. , for data transmission.
  • the STA can complete the uplink channel selection, which can achieve greater throughput improvement, maximize channel utilization, reduce the probability of collision between channels, and improve Spectral efficiency of the system.
  • determine the uplink channel based on the performance information of the idle channel including:
  • the idle channel with the best ability to successfully transmit data packets is determined as the uplink channel.
  • the ability to successfully transmit a data packet may be determined by the historical transmission success rate of the data packet and/or the channel sensing weight.
  • the channel with the highest historical data packet transmission success rate is determined as the uplink channel.
  • the historical transmission success rate can be determined.
  • the channel with the highest channel sensing weight is determined as the uplink channel.
  • the channel sensing weight can generally be calculated and obtained by the STA using the spectrum sensing algorithm on the corresponding channel, and is used to represent the channel quality.
  • Reinforcement learning is an online learning algorithm.
  • the agent interacts with the external environment through a reward mechanism and adjusts its behavior according to the reward value obtained in the environment, allowing the agent to learn. And adapt to the external environment, prompting the agent to choose the behavior that can obtain the maximum reward for itself in the environment.
  • the characteristics of reinforcement learning and adapting to the external environment can be applied to the channel selection between the STA and the AP, so that the STA can learn the changing channel status as an agent, and finally select the one that successfully transmits the data packet in the idle channel.
  • the idle channel with the best capability is used as the uplink channel to reduce channel status scanning overhead and improve channel detection probability. This achieves the purpose of achieving greater throughput improvement, maximizing channel utilization, reducing the probability of collisions between channels, and improving the spectrum efficiency of the system.
  • an embodiment of the present disclosure provides a method for determining an uplink channel, which is applied to the STA in Figure 1 to determine the uplink channel between the STA and the AP through the data processing method of reinforcement learning.
  • the method includes:
  • Step S301 The STA receives a trigger instruction; the trigger instruction is used to trigger the STA to sense the channel state.
  • Step S302 When there is an idle channel, construct an uplink channel selection model based on reinforcement learning based on the network average throughput optimization problem.
  • the STA senses the channel status again after the set backoff time.
  • the uplink channel selection model based on reinforcement learning is constructed, including a state set, an action set and a reward function.
  • the establishment of the uplink channel selection model based on reinforcement learning includes:
  • the signal-to-interference-to-noise ratio refers to the ratio of the signal to the sum of interference and noise in the system.
  • the channel information between the STA and the AP is used to establish the uplink channel selection model, so that when selecting the uplink channel, the status of each channel can be combined to ensure that the system throughput meets the requirements.
  • Step S303 With the goal of maximizing the average network throughput, the channel state information and performance information are input into the uplink channel selection model based on reinforcement learning for training, and the average network throughput is obtained.
  • the training of the reinforcement learning-based uplink channel selection model includes:
  • the uplink channel selection model based on reinforcement learning is trained according to the reward parameter R t to obtain the channel corresponding to the system action that maximizes the reward parameter R t as the uplink channel.
  • the reward parameter R t is used to represent the average value of the perception weight and channel transmission weight of the selected uplink channel at time t.
  • training a resource allocation decision-making model based on reinforcement learning based on the reward parameter R t includes: using the following method as the update rule for reinforcement learning:
  • Q t represents the Q value of the current state
  • Q t+1 represents the Q value of the next state moment
  • ⁇ represents the learning rate of reinforcement learning, with a value of (0,1)
  • ⁇ represents the emphasis on historical rewards.
  • the value is (0,1)
  • maxQ t (S′,A′) represents the maximum Q value of all possible action strategies at the next moment.
  • Figure 4 shows a schematic diagram of reinforcement learning training in an embodiment of the present disclosure to illustrate the above steps.
  • the reinforcement learning in this embodiment uses the Q-Learning algorithm.
  • the agent performs actions in the environment to obtain certain rewards to perceive the environment, thereby learning a mapping strategy from state to action to maximize the reward value.
  • STA is used as an agent for reinforcement learning and performs data processing as an intelligent agent. Based on the mutual interference information between APs and channel idle conditions received by the STA, the reinforcement learning algorithm is used to achieve reasonable and effective uplink channel selection. Through the process of continuous interaction between the agent STA and the environment, feedback is obtained from the environment, and then the action of the agent STA is changed to realize the adjustment of the uplink channel selection action.
  • STA first obtains mutual interference information between APs and channel idle conditions as channel performance information and State information S 0 , the agent STA takes action A 0 in the S 0 environment as a channel selection decision, and feeds it back to the AP in the environment.
  • the actions taken by STA can be selected according to the greedy strategy.
  • the agent STA After the agent STA makes a channel selection decision, it performs access and data transmission according to the selected uplink channel. Determine the reward parameter R 1 based on the system throughput and provide feedback to the STA; and send the next state S 1 including mutual interference information between APs and channel idle conditions to the STA.
  • the STA After receiving the reward parameter R 1 and the environment status S 1 , the STA updates the Q value table according to the update rules of reinforcement learning, and takes action A 1 to the environment as an uplink channel selection decision. After receiving action A 1 , the environment state changes from state S 1 to S 2 , and the reward parameter R 2 is fed back.
  • STA gets the reward parameter R 2 and state S 2 , updates the Q value table, and takes action A 2 ; gets the reward parameter R 3 and state S 3 , updates the Q value table, and takes action A 3 .
  • This cycle is continued until the system throughput reaches the maximum, that is, the reward parameter Rt reaches the maximum.
  • the purpose of reducing interference and improving throughput is achieved.
  • a Q value is used for each channel in the table to represent the level of channel transmission quality; when a data packet arrives, the STA begins to sense the idle channel. If no idle channel is sensed, the data packet backs off. , continue sensing; if an idle channel is sensed, use the Q-Learning mechanism to learn the uplink channel selection strategy.
  • the Q-learning learning process includes: determining the action A t+1 at this moment based on the previous state S t , then updating the state S t+1 , and feeding back a reward R t . Through learning, the STA will select a channel with the best transmission quality among the idle channels for transmission. The transmission quality here is measured by the success rate of historical transmission data packets.
  • the STA can take action according to the greedy decision-making strategy through Q-Learning, that is, select among the idle channels with probability ⁇ , and finally determine the uplink channel.
  • Step S304 When the average network throughput reaches the maximum value, determine the uplink channel according to the output of the uplink channel selection model based on reinforcement learning.
  • the system's corresponding action A t is used as the optimal strategy to determine the corresponding uplink channel selection action.
  • Step S305 accessing an uplink channel for data transmission.
  • the terminal STA makes decisions by sensing the channel status and the number of idle channels, selects the channel with the highest channel quality for data transmission, and feeds the reward back to the environment while updating the next state.
  • the uplink channel is determined based on channel performance in the idle channel for data transmission. In this way, in the case of unknown CSI information or incomplete CSI information such as communication loss, the uplink channel selection can be completed through the STA, which can achieve a greater throughput improvement, maximize channel utilization, and reduce the probability of collision between channels. , improve the spectral efficiency of the system.
  • Figure 5 shows a method for determining the uplink channel to illustrate the perceived channel conditions when a data packet arrives, And use reinforcement learning to select the channel to be accessed to complete the uplink transmission to the AP.
  • an embodiment of the present disclosure provides a method for determining an uplink channel, which is applied to the STA in Figure 1 to determine the uplink channel between the STA and the AP through the data processing method of reinforcement learning.
  • the method includes:
  • Step S501 The STA receives a trigger instruction; the trigger instruction includes a data packet arrival indication.
  • Step S502 The STA senses whether there is an idle channel.
  • Step S503 If there is no idle channel, data packet backoff is performed, and the channel status is sensed again after the set backoff time.
  • the set backoff duration is determined by a random distribution with mean ⁇ .
  • Step S504 If there is an idle channel, use the Q-learning algorithm to output the channel selection decision as the uplink channel through the uplink channel selection model based on reinforcement learning.
  • Step S505 Access the uplink channel for data transmission. And the action set and reward parameters in step S504 are updated according to the selected channel action and the system throughput change after the selection.
  • Step S506 After the data transmission is successful, the information required by the Q-learning algorithm in step S504 is updated according to the transmission result. Update the status set in step S504 according to the transmission result, and return to step S501 to receive a new data packet arrival indication.
  • Step S507 After the data transmission fails, update the information required by the Q-learning algorithm in step S504 according to the transmission result, and return to step S502 to re-execute the data transmission instruction.
  • the status set in step S504 is updated according to the transmission result.
  • the terminal STA makes decisions by sensing the channel status and the number of idle channels, selects the channel with the highest channel quality for data transmission, and feeds the reward back to the environment while updating the next state. And continue to update the environment status after making a decision. Update the two situations that exist after data packet transmission into the Q-learning learning process. After the transmission is successful, after updating the environment status, this data transmission ends, waiting for the arrival of new data packets, and entering the next round of data transmission; after the transmission fails, after updating the environment status, it is necessary to enter the retransmission mechanism and re-sense. channel for data packet transmission.
  • the uplink channel selection can be completed through the STA, which can achieve a greater throughput improvement, maximize channel utilization, and reduce the probability of collision between channels. , improve the spectral efficiency of the system.
  • Figure 6 shows a method for determining the uplink channel, applied to the AP in the environment system shown in Figure 1, including:
  • Step S601 the AP sends a trigger instruction; the trigger instruction is used to trigger the STA to sense the channel status.
  • the AP sends a trigger command to the STA to obtain the data cache information fed back by the STA, and triggers the STA to sense the channel status for data transmission.
  • the AP can send a BSRP buffer status report poll frame (Buffer Status Report Poll, BSRP) to cause the STA to send a buffer status report frame (Buffer Status Report, BSR).
  • Buffer Status Report Poll Buffer Status Report Poll
  • BSR Buffer Status Report
  • Step S602 The AP receives the data transmitted by the STA through the uplink channel; the uplink channel is determined by the STA based on the performance information of the idle channel.
  • the AP After receiving the data transmitted by the STA through the uplink channel, the AP also sends an acknowledgment character (ACK) to the STA to indicate receipt of the uploaded data.
  • ACK acknowledgment character
  • the uplink channel selection can be completed through the STA, which can achieve a greater throughput improvement, maximize channel utilization, and reduce the probability of collision between channels. , improve the spectral efficiency of the system.
  • Figure 7 shows an application diagram of a method for determining an uplink channel.
  • the method for determining the uplink channel includes the following steps:
  • Step S701 the AP sends a BRSP to the STA, requesting to obtain the STA's data cache information;
  • Step S702 the STA sends a BSR to the AP to feed back the data cache information
  • Step S703 The STA senses the current status of all channels. If it senses that there are multiple idle channels, it enters the Q-learning learning process environment and selects the idle channel with the best ability to successfully transmit data packets as the uplink channel. If there is no channel idle, the data packet will back off for a period of time before being transmitted. The back off time is subject to a random distribution with mean ⁇ .
  • Step S704 The STA accesses the uplink channel and transmits data.
  • Step S705 The AP receives the data transmitted by the STA and sends an ACK to the STA to indicate receipt.
  • the terminal STA senses the channel status, determines the uplink channel based on the channel performance in the idle channel, and performs data transmission.
  • the uplink channel selection can be completed through the STA, which can achieve a greater throughput improvement, maximize channel utilization, and reduce the probability of collision between channels. , reduce the impact of interference between multiple APs on data transmission, and improve the spectrum efficiency of the system.
  • an embodiment of the present disclosure provides a terminal device, including a processor 800 and a memory 801 .
  • the memory 801 is used to store computer programs, and the processor 800 is used to call and run the programs stored in the memory, and perform the above-mentioned method for determining the uplink channel.
  • the device also includes a communication interface 802 and a bus 803.
  • the communication interface 802 is used to communicate with other network devices; the processor 800, the communication interface 802, and the memory 801 can communicate with each other through the bus 803.
  • an embodiment of the present disclosure provides a network device, including a processor 900 and a memory 901 .
  • the memory 901 is used to store computer programs, and the processor 900 is used to call and run the programs stored in the memory, and perform the above-mentioned method for determining the uplink channel.
  • the device also includes a communication interface 902 and a bus 903.
  • the communication interface 902 is used to communicate with other network devices; the processor 900, the communication interface 902, and the memory 901 can communicate with each other through the bus 903.
  • the above-mentioned logical instructions in the memory 901 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.
  • the memory 901 can be used to store software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure.
  • the processor 900 executes program instructions/modules stored in the memory 901 to execute functional applications and data processing, that is, to implement the method for determining the uplink channel in the above embodiment.
  • the memory 901 may include a stored program area and a stored data area, where the stored program area may store an operating system and at least one application program required for a function; the stored data area may store data created according to the use of the terminal device, etc.
  • the memory 901 may include high-speed random access memory and may also include non-volatile memory.
  • Embodiments of the present disclosure provide a computer-readable storage medium that stores computer-executable instructions, and the computer-executable instructions are configured to execute the above method for determining an uplink channel.
  • Embodiments of the present disclosure provide a computer program product.
  • the computer program product includes a computer program stored on a computer-readable storage medium.
  • the computer program includes program instructions. When the program instructions are executed by a computer, the The computer executes the above method for determining the uplink channel.
  • An embodiment of the present disclosure provides a computer program that, when executed by a computer, causes the computer to implement the above method for determining an uplink channel.
  • the above-mentioned computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.
  • the technical solution of the embodiments of the present disclosure may be embodied in the form of a software product.
  • the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network equipment, etc.) to perform all or part of the steps of the method described in the embodiments of the present disclosure.
  • the aforementioned storage media can be non-transitory storage media, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.
  • the term “and/or” as used in this application refers to an or any and all possible combinations of one or more of the associated listed.
  • the term “comprise” and its variations “comprises” and/or “comprising” etc. refer to stated features, integers, steps, operations, elements, and/or The presence of a component does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groupings of these.
  • an element defined by the statement “comprises a" does not exclude the presence of additional identical elements in a process, method or apparatus including the stated element.
  • each embodiment may focus on its differences from other embodiments, and the same and similar parts among various embodiments may be referred to each other.
  • the relevant parts can be referred to the description of the method part.
  • the disclosed methods and products can be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units may only be a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined. Either it can be integrated into another system, or some features can be ignored, or not implemented.
  • the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.
  • each functional unit in the embodiment of the present disclosure may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
  • each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more components for implementing the specified logical function(s).
  • Executable instructions may occur out of the order noted in the figures. For example, two consecutive blocks can actually execute essentially in parallel, it They can sometimes be executed in reverse order, depending on the functionality involved.

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  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente demande se rapporte au domaine technique des communications sans fil. Un procédé de détermination d'un canal de liaison montante est décrit. Le procédé est appliqué à un dispositif de station (STA), et consiste à : recevoir une instruction de déclenchement, l'instruction de déclenchement étant utilisée pour déclencher la détection d'un état de canal par la STA ; s'il existe un canal libre, déterminer un canal de liaison montante selon des informations de performance du canal libre, et accéder au canal de liaison montante pour une transmission de données ; et s'il n'existe pas de canal libre, détecter à nouveau l'état de canal après une durée d'attente aléatoire définie. De cette manière, dans le cas d'un problème de communication, etc. dans lequel des CSI sont inconnues ou les CSI sont incomplètes, la sélection d'un canal de liaison montante peut être accomplie au moyen d'une STA, de manière à pouvoir réaliser une relativement grande augmentation du débit et à maximiser le taux d'utilisation de canal, ce qui permet de réduire la probabilité de collision entre canaux et d'améliorer le rendement spectral d'un système. La présente demande concerne en outre un terminal et un dispositif de réseau.
PCT/CN2023/107293 2022-09-16 2023-07-13 Procédé de détermination de canal de liaison montante, terminal et dispositif de réseau Ceased WO2024055739A1 (fr)

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CN118804362A (zh) * 2024-08-05 2024-10-18 北京邮电大学 物联网设备非授权频段侧行链路通信资源重选方法及系统
CN120448712A (zh) * 2025-07-08 2025-08-08 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) 基于物联网的固定污染源监测数据分析方法、系统及介质

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WO2017036258A1 (fr) * 2015-09-02 2017-03-09 华为技术有限公司 Procédé d'accès avec concurrence, dispositif d'accès avec concurrence, station de base et système d'accès avec concurrence
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CN118524562A (zh) * 2024-05-13 2024-08-20 国家海洋局东海信息中心 一种基于Q-learning算法的无缝WIFI网络分配方法
CN118524562B (zh) * 2024-05-13 2025-10-17 国家海洋局东海信息中心 一种基于Q-learning算法的无缝WIFI网络分配方法
CN118804362A (zh) * 2024-08-05 2024-10-18 北京邮电大学 物联网设备非授权频段侧行链路通信资源重选方法及系统
CN120448712A (zh) * 2025-07-08 2025-08-08 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) 基于物联网的固定污染源监测数据分析方法、系统及介质
CN120448712B (zh) * 2025-07-08 2025-09-05 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) 基于物联网的固定污染源监测数据分析方法、系统及介质

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