CN117692909A - Resource allocation method and device, computing equipment and computer storage medium - Google Patents

Abstract

The invention discloses a resource allocation method and device, a computing device and a computer storage medium, wherein the method comprises the following steps: acquiring a terminal measurement report of at least one same-frequency neighbor cell of a target cell, and sensing at least one terminal which generates uplink intra-network interference to the target cell in the at least one same-frequency neighbor cell; calculating the uplink intra-network interference fluctuation power of at least one terminal; acquiring physical resource allocation conditions of a terminal at the next moment of at least one same-frequency neighbor cell; drawing an interference map of the target cell at the next moment according to the uplink intra-network interference fluctuation power of at least one terminal and the physical resource allocation condition; and utilizing the interference pattern to allocate the resources of the target cell. The method predicts the co-channel interference background noise value of the next moment according to the user distribution at the current moment and the reported measurement information, synthesizes the user scale, the service density and the spectrum resource service condition, provides a spectrum resource scheduling method, improves the co-channel interference and the user experience, and improves the utilization rate of the spectrum resource.

Description

Resource allocation method and device, computing equipment and computer storage media

Technical field

The present invention relates to the field of communication technology, and in particular to a resource allocation method and device, computing equipment and computer storage media.

Background technique

The current co-frequency networking method used in 4G/5G networks improves the spectrum resource utilization of the system. However, as the network business volume continues to grow, it will also cause corresponding serious co-channel interference problems, affecting the transmission quality. Taking a 5G cell as an example, as shown in Figure 1, the current inter-cell frequency reuse factor is 1, that is, cell 1 and cell 2 are completely on the same frequency. Since OFDMA (Orthogonal Frequency Division Multiple Access) access technology is used between terminals within the cell, there is no mutual interference problem between users in the cell, but users at the edge of the cell will cause strong intra-network interference to neighboring cells. Terminal UE3 is a user in the edge area of Cell 2. In uplink communication, it uses higher transmit power to ensure communication quality, which causes strong interference to the base station receiving end of Cell 1 that uses the same spectrum resources. Terminal UE2 and terminal UE4 will cause interference to neighboring cells in the same way, but the interference power is relatively weak. Terminal UE1 will not cause interference to cell 2.

At present, through reasonable resource reuse and resource scheduling methods, spectrum resource utilization can be guaranteed to a certain extent while avoiding the impact of co-channel interference. For multi-cell networking scenarios, the following technologies are mainly used to suppress co-channel interference problems for cell edge users: First, interference randomization technology. To address intra-network interference problems, some major equipment manufacturers usually adopt interference randomization solutions, that is, through Set uplink resource scheduling priorities for different sectors of the same base station to avoid interference problems. As shown in Figure 2, the inter-cell interference randomization adopts the "PCI value MOD 3" method, that is, the bandwidth is divided into three parts, and different RBG (Resource Block Group, i.e., resource block group) is designated for the three adjacent cells A, B, and C. Block group) starting position, stagger their resource allocation position as much as possible, thereby reducing inter-cell interference and improving spectrum efficiency. For example, when the PCI value modulo 3 is equal to 0, the uplink resource scheduling starts from the left frequency (such as cell A). When the PCI value modulo 3 is equal to 1, the uplink resource scheduling starts from the middle (such as cell B). When the PCI value modulo 3 is equal to 2, the uplink resource scheduling starts from the right. Start uplink resource scheduling on the cell side (such as cell C). However, this method is only suitable for low-load and multi-cell networking modes, and has poor scalability. The second is soft frequency reuse technology. As shown in Figure 3, soft frequency reuse technology divides the frequency band resources of the cell into main frequency and There are two parts of the sub-frequency, and the transmit power of the main frequency is higher than the sub-frequency, and it is stipulated that edge users can only use main frequency resources. By adjusting system resources and power and other parameters, the effect of reducing the interference impact of cell edge users and improving system capacity can be achieved. However, since the frequency reuse coefficient at the cell edge is fixed, when the number of users at the cell edge increases and the traffic volume is large, the inability to dynamically allocate frequency resources will cause a waste of overall spectrum resources in the system. The above two technologies have certain drawbacks: First, they impose certain restrictions on the resource scheduling frequency bands inside and at the edge of the cell, which reduces the flexibility of spectrum resource scheduling; second, they do not consider user scale, user distribution, service density, and real-time resources. usage, spectral efficiency gains are limited. Therefore, system performance and spectrum resource utilization need to be further improved.

At present, there are mainly the following problems in spectrum resource scheduling or co-channel interference avoidance: First, co-channel interference avoidance is based on scheduling spectrum resources, mainly using soft frequency reuse technology, that is, suppressing it by fixing the frequency reuse coefficient at the edge of the cell. Co-channel interference. When the inter-cell interference level is low, the spectrum efficiency is low and spectrum resources are wasted to a certain extent. When the level of inter-cell interference is high, the service quality of edge users decreases. Because the dynamic resource scheduling scheme does not deal with the trade-off relationship between spectrum efficiency and user service quality when the traffic volume changes, the system throughput cannot be maximized; secondly, the spectrum resource scheduling scheme is only a simple regional scheduling, without considering the user side, Real-time status information on the business side and resource side leads to uneven resource scheduling and decreased spectrum resource utilization.

Contents of the invention

In view of the above problems, the present invention is proposed to provide a resource allocation method and device, a computing device and a computer storage medium that overcome the above problems of uneven resource scheduling and decreased spectrum efficiency when traffic volume changes.

According to an aspect of the present invention, a resource allocation method is provided, which method includes:

Obtaining a terminal measurement report of at least one co-frequency neighboring cell of the target cell, and sensing at least one terminal in the at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell;

Calculate the interference fluctuation power in the uplink network of the at least one terminal;

Obtain the physical resource allocation situation of the terminal at the next moment of the at least one co-frequency neighboring cell;

Draw the interference map of the target cell at the next moment according to the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation situation;

The interference map is used to allocate resources to the target cell.

In an optional manner, the sensing of at least one terminal in the at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell further includes:

A terminal interference matrix is established based on the terminal's serving cell reference signal received power and the terminal's reference signal received power to the target cell in the terminal measurement report.

In an optional manner, calculating the interference fluctuation power in the uplink network of the at least one terminal further includes:

According to the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell, the path loss from the terminal to the target cell is obtained;

The transmit power of the terminal is obtained according to the transmit power margin of the terminal.

In an optional manner, obtaining the path loss from the terminal to the target cell based on the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell is specifically achieved through the following formula:

PL(i,A)＝RS _{CELL A} -RSRP _{CELL A}

Among them, PL(i,A) is the path loss from terminal i to target cell A; RS _CELLA is the reference signal power configuration of target cell A; RSRP _{CELL A} represents the RSRP measurement value from terminal i to target cell A.

In an optional manner, obtaining the transmit power of the terminal according to the transmit power margin of the terminal is specifically implemented through the following formula:

P _Txi≈ (23-PHR)

Among them, P _Txi is the transmit power of terminal i; PHR is the power headroom report.

In an optional manner, drawing the interference map of the target cell at the next moment based on the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation further includes:

Calculate the interference power of the terminal to each physical resource block of the target cell based on the number of physical resource blocks occupied by the terminal at the next moment, the path loss from the terminal to the target cell, and the transmit power of the terminal;

The aggregate interference power of all terminals on each physical resource block of the target cell is calculated as the interference pattern of the target cell at the next moment.

In an optional manner, using the interference pattern to allocate resources to the target cell further includes:

Screen out target terminals that use the target cell as the serving cell and have bandwidth requirements greater than the preset bandwidth threshold according to the target cell reference signal received power, and allocate physical resource blocks to the target terminals with priority;

and/or, give priority to allocating physical resource blocks with no interference or interference power less than a preset threshold to video service terminals;

And/or, allocate physical resource blocks based on service rate requirements and the interference pattern of the target cell at the next moment.

According to another aspect of the present invention, a resource allocation device is provided, including:

The first acquisition module is used to obtain the terminal measurement report of at least one co-frequency neighboring cell of the target cell, and sense at least one terminal in the at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell;

The first calculation module is used to calculate the interference fluctuation power in the uplink network of the at least one terminal;

The second acquisition module is used to acquire the physical resource allocation situation of the terminal at the next moment of the at least one co-frequency neighboring cell;

The second calculation module is used to draw the interference map of the target cell at the next moment based on the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation situation;

A resource allocation module is configured to use the interference map to allocate resources to the target cell.

According to another aspect of the present invention, a computing device is provided, including: a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete mutual communication through the communication bus. communication;

The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the above resource allocation method.

According to yet another aspect of the present invention, a computer storage medium is provided, and at least one executable instruction is stored in the storage medium. The executable instruction causes the processor to perform operations corresponding to the above resource allocation method.

According to the solution provided by the present invention, a terminal measurement report of at least one co-frequency neighbor cell of the target cell is obtained, and at least one terminal in the at least one co-frequency neighbor cell that causes uplink intra-network interference to the target cell is sensed; and the at least one The interference fluctuation power in the uplink network of the terminal; obtain the physical resource allocation situation of the terminal at the next moment of the at least one co-frequency neighboring cell; draw a graph based on the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation situation. The interference map of the target cell at the next moment is obtained; the interference map is used to allocate resources of the target cell. This invention predicts the co-channel interference noise floor value at the next moment based on the user distribution at the current moment and the reported measurement information, and integrates the user scale, business density and interference map prediction situation to perform precise resource scheduling to improve co-channel interference. , optimize user experience, and also improve the utilization of spectrum resources.

The above description is only an overview of the technical solution of the present invention. In order to have a clearer understanding of the technical means of the present invention, it can be implemented according to the content of the description, and in order to make the above and other objects, features and advantages of the present invention more obvious and understandable. , the specific embodiments of the present invention are listed below.

Description of the drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are for the purpose of illustrating preferred embodiments only and are not to be construed as limiting the invention. Also throughout the drawings, the same reference characters are used to designate the same components. In the attached picture:

Figure 1 shows a schematic diagram of the 5G cell uplink interference model in the prior art;

Figure 2 shows a schematic diagram of interference randomization resource scheduling in the prior art;

Figure 3 shows a schematic diagram of soft frequency reuse resource scheduling in the prior art;

Figure 4 shows a schematic flow chart of a resource allocation method according to an embodiment of the present invention;

Figure 5 shows a schematic flow chart of a resource allocation method according to another embodiment of the present invention;

Figure 6 shows a schematic diagram of the serving cell according to the embodiment of the present invention;

Figure 7 shows a schematic diagram of uplink co-channel interference according to an embodiment of the present invention;

Figure 8 shows a schematic structural diagram of a resource allocation device according to an embodiment of the present invention;

Figure 9 shows a schematic structural diagram of a computing device according to an embodiment of the present invention.

Detailed ways

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a thorough understanding of the invention, and to fully convey the scope of the invention to those skilled in the art.

Before implementing the embodiments of the present invention, the technical terms involved in the following are uniformly explained here:

RSRP: Reference Signal Receiving Power (RSRP), which is a key parameter in the network that can represent the strength of wireless signals. The power value of RSRP represents the power value of each subcarrier. The RSRP value range is -44~- 156dBm, the larger the value, the better.

PRB: Physical Resource Block (PRB).

RBG: Resource Block Group (RBG for short) is a resource unit allocated for business channel resources. It consists of a group of RBs. The group size is related to the system bandwidth.

PHR: Power Headroom Report (PHR for short), used to report the difference between the uplink transmission power and the maximum transmission power of the terminal UE to the eNodeB. The PHR provides power control and scheduling information to the eNodeB.

Figure 4 shows a schematic flowchart of a resource allocation method according to an embodiment of the present invention. This method predicts the co-channel interference noise floor value at the next moment based on the user distribution at the current moment and the reported measurement information, and provides the most reasonable spectrum resource scheduling method based on user scale, business density and spectrum resource usage. To improve co-channel interference and optimize user experience. Specifically, as shown in Figure 4, the method includes the following steps:

Step S101: Obtain a terminal measurement report of at least one co-frequency neighboring cell of the target cell, and sense at least one terminal in at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell.

Co-frequency neighboring cells/networking means that all cells in a network use the same frequency point, that is, the same carrier frequency is used uniformly in the divided cells. Co-frequency neighbor cells/networks have high spectrum utilization, which can solve the problem of low frequency utilization in inter-frequency networks. However, co-frequency neighbor cells/networks will cause interference between cells, especially between cell edge service channels. interference. The above interference can be divided into uplink interference and downlink interference based on the frequency band. When uplink interference occurs, the mobile phone signal must be stronger than the interfering signal so that the base station can contact the mobile phone. When downlink interference occurs, the connection between the mobile phone and the base station is interrupted, usually causing call drops or failure to register.

In this embodiment, in order to ensure the transmission quality of uplink video services for end users, based on the distribution and resource usage of users in co-frequency physical neighboring cells of the cell, that is, the problem of uplink interference in co-frequency neighboring cells/networks, users in neighboring cells are used The reported measurement information is used to predict the uplink interference situation of this cell at the next moment.

For the target cell, obtain the signal quality measurement indicators (such as RSRP, SINR, RSSI, RSRQ measurement values) of the main serving cell and neighboring cells from the measurement reports of terminals in physical neighboring cells on the same frequency, and establish the relationship between each terminal in the area and the target cell. The interference power set (such as dictionary, matrix, etc.) is used to sense the terminals in the same frequency neighboring cells that cause uplink intra-network interference to the target cell.

Step S102: Calculate the interference fluctuation power in the uplink network of at least one terminal.

The cause of uplink intra-network interference is interference caused by terminals in physical neighboring cells on the same frequency. In this embodiment, for subsequent interference spectrum prediction, the terminal's intra-network uplink interference fluctuation power will be calculated based on the terminal measurement report. As shown in Figure 7, cell A is an interfered cell in the uplink network, and terminal UE1 and terminal UE2 are terminals in neighboring cell B and neighboring cell C respectively. That is, terminal UE1 and terminal UE2 will interfere with cell A during uplink communication. Among them, the terminal UE1 will regularly report the terminal measurement report to its serving cell B. The terminal measurement report includes the RSRP of the serving cell B, the RSRP of the neighboring cell A, the terminal transmit power headroom PHR, etc. The terminal UE2 is similar to the terminal UE1. No more details.

In an optional method, the interference fluctuation power in the terminal's uplink network is calculated based on the path loss from the terminal to the target cell and the transmission power of each terminal in the target cell.

Step S103: Obtain the physical resource allocation situation of the terminal in at least one co-frequency neighboring cell at the next moment. The physical resource allocation of each terminal at the next moment in the same frequency neighboring cell can be obtained through information exchange between base stations. For the target cell, it is necessary to obtain the physical resource allocation of each terminal in each neighboring cell at the next moment.

Step S104: Draw an interference map of the target cell at the next moment based on the interference fluctuation power and physical resource allocation in the uplink network of at least one terminal.

It can be seen from the above steps S102 and S103 that the transmission power of each co-frequency neighboring cell terminal can be obtained by calculating the interference fluctuation power of the terminal in the uplink network, and the physical resource allocation of the neighboring cell terminal at the next moment can be obtained through information exchange between base stations. . Therefore, the predicted value of the interference power spectrum of the target cell at the next moment can be calculated based on the interference fluctuation power of the terminal in the uplink network and the physical resource allocation of the terminal at the next moment in the same-frequency neighboring cell.

Step S105: Use the interference map to allocate resources to the target cell.

Evaluate transmission link performance in specific geographical locations based on spatial characteristics, user characteristics and service rate requirements. Based on transmission characteristic parameters such as uplink interference matrix and combined with 4G/5G systems, user-level performance indicators are further evaluated, taking into account user scale, user Multiple dimensions such as distribution, service density, spectrum resource usage, etc., combined with the uplink interference map prediction, can accurately schedule resources, predict interference and allocate spectrum resources at the next moment, so as to ensure the transmission rate of end-user video services as much as possible. Improve spectrum resource utilization and improve user experience.

The solution provided by the above embodiments of the present invention obtains the terminal measurement report of at least one co-frequency neighbor cell of the target cell, senses at least one terminal in at least one co-frequency neighbor cell that causes uplink intra-network interference to the target cell; calculates the The interference fluctuation power in the uplink network; obtain the physical resource allocation situation of the terminal at the next moment of at least one co-frequency neighboring cell; draw the interference of the target cell at the next moment based on the interference fluctuation power and physical resource allocation situation of at least one terminal in the uplink network Map; use the interference map to allocate resources to the target cell. This invention predicts the co-channel interference noise floor value at the next moment based on the user distribution at the current moment and the reported measurement information, and provides a spectrum resource scheduling method based on user scale, business density and spectrum resource usage, which improves co-channel interference. interference and user experience, and improves the utilization of spectrum resources. At the same time, the interference spectrum prediction is performed based on the measurement reports reported by the surrounding base stations in cooperation with the terminals to identify the interference status between the terminal and the target cell and surrounding neighboring cells. Since the analysis and prediction are only based on the existing data, the complexity of the project implementation is reduced.

Figure 5 shows a schematic flowchart of a resource allocation method according to another embodiment of the present invention. This method senses terminals in co-frequency neighboring cells that cause uplink intra-network interference to the target cell based on the terminal's serving cell reference signal received power and the terminal's reference signal received power to the target cell in the terminal measurement report. And, calculate the aggregate interference power of all terminals to each physical resource block of the target cell as the interference pattern of the target cell at the next moment. Specifically, as shown in Figure 5, the method includes the following steps:

Step S201: Obtain the terminal measurement report of at least one co-frequency neighboring cell of the target cell, and establish a terminal interference matrix based on the terminal's serving cell reference signal received power and the terminal's reference signal received power to the target cell in the terminal measurement report.

In this embodiment, a terminal measurement report of at least one co-frequency neighboring cell of the target cell is obtained, and a terminal interference matrix is established based on the reference signal received power of the terminal in the serving cell and the reference signal received power of the terminal to the target cell in the terminal measurement report. , to sense terminals in co-frequency neighboring cells that cause uplink intra-network interference to the target cell.

Specifically, as shown in Figure 6, for the target cell (such as cell A), the signal reception power RSRP of the main serving cell and the neighboring cell is obtained from the measurement report of the terminal in the same frequency physical neighboring cell, and a pair of each terminal in the area is established. The interference matrix of the target cell is used to sense the terminals in the same frequency neighboring cells that cause uplink intra-network interference to the target cell, as shown in Table 1.

Table 1

end user Main server community RSRP Cell A RSRP User 1 -105dBm -110dBm User 2 -113dBm null User 3 -112dBm -113dBm ........ - - User n -105dBm -108dBm

In Table 1, the serving cell of each terminal may be one of cell B, cell C, cell D, cell E, cell F or cell G. When the user does not measure cell A, it is considered that the user is not interested in the cell. ANo interference or negligible interference power.

Step S202: Obtain the path loss from the terminal to the target cell based on the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell.

The path loss from the terminal to the target cell can be obtained based on the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell. Specifically, as shown in Figure 7, the path loss from the terminal to the target cell is achieved through the following formula:

PL(i,A)＝RS _{CELL A} -RSRP _{CELL A}

Among them, PL(i,A) is the path loss from terminal i to target cell A; RS _{CELL A} is the reference signal power configuration of target cell A; RSRP _{CELL A} represents the RSRP measurement value from terminal i to target cell A.

For example, by measuring the RSRP from terminal UE1 to target cell A, the path loss from the terminal to target cell A can be calculated:

PL(1,A)＝RS _{CELL A} -RSRP _{CELL A}

Among them, PL(1,A) is the path loss from terminal UE1 to target cell A; RS _{CELL A} is the reference signal power configuration of target cell A; RSRP _{CELL A} represents the RSRP measurement value from terminal UE1 to target cell A.

Step S203: Obtain the transmission power of the terminal according to the transmission power margin of the terminal.

The transmit power of the terminal is obtained according to the transmit power margin of the terminal through the following formula:

P _Txi≈ (23-PHR)

Among them, P _Txi is the transmit power of terminal i; PHR is the power headroom report.

As shown in Figure 7, for example, the transmit power of terminal UE1 can be calculated through the terminal transmit power margin:

P _Tx1≈ (23-PHR)

Among them, P _Tx1 is the transmit power of terminal 1; PHR is the power headroom report.

Step S204: Obtain the physical resource allocation situation of the terminal in at least one co-frequency neighboring cell at the next moment.

In this embodiment, the allocation status of each physical resource block (PRB) of the terminal in the same frequency neighboring cell at the next moment is obtained through information exchange between base stations.

As shown in Figure 6, for serving cell A, it is necessary to obtain the physical resource allocation of each terminal in cell B, cell C, cell D, cell E, cell F or cell G at the next moment, as shown in Table 2.

Table 2

end user PRB1 PRB2 PRB3 PRB4 PRB5 PRB6 … PRB99 User 1 yes yes no no no no no User 2 no no yes yes no no no … UserN yes yes no no no no no

Among them, "Yes" means that the serving cell will allocate this PRB to this user at the next moment for uplink data transmission, and "No" means that the serving cell will not allocate this PRB to this user at the next moment.

Step S205: Calculate the interference power of the terminal to each physical resource block of the target cell based on the number of physical resource blocks occupied by the terminal at the next moment, the path loss from the terminal to the target cell, and the transmit power of the terminal.

In order to calculate the interference power of the terminal to each physical resource block of the target cell, first, calculate the co-channel interference power of the terminal in each co-frequency neighboring cell to each physical resource block PRB of cell A.

For ease of understanding, as shown in Figure 7, cell A is the target cell, and cell B (or cell C, etc.) is the same-frequency neighboring cell B (or same-frequency neighboring cell C, etc.).

The co-channel interference power of terminal UE1 in cell B to PRB1 of cell A is:

IA _PRB(1,B) =(P _Tx1 -PL _(1,A) )-10×log ₁₀ N _(B,1)

Among them, IA _{PRB (1, B)} is the co-channel interference power of the terminal in cell B to PRB1 of cell A, in dBm; N _{(B, 1)} is the number of PRBs occupied by the terminal UE1 in cell B at the next moment.

In the same way, the interference power of terminal UE2 in cell C to PRB1 of cell A is:

IA _PRB(1,C) =(P _Tx2 -PL _(1,A) )-10×log ₁₀ N _(C,1) )

Among them, IA _PRB(1,C) is the co-channel interference power of the terminal in cell C to PRB1 of cell A, in dBm; N _(C,1) is the number of PRBs occupied by terminal UE2 in cell C at the next moment.

Secondly, by analogy, the co-channel interference power of all terminals in each co-frequency neighboring cell to PRB1 of cell A can be calculated.

Step S206: Calculate the aggregate interference power of all terminals on each physical resource block of the target cell as the interference pattern of the target cell at the next moment.

According to the co-channel interference power of terminals in each co-frequency neighboring cell to PRB1 of cell A calculated in step S205, the aggregate interference power of all terminals to each physical resource block (such as PRB1, PRB2, PRB3) of the target cell can be calculated, As the interference map of the target cell at the next moment.

As shown in Figure 7, the aggregate co-channel interference power received by all terminals in co-frequency neighboring cells to each PRB of cell A is calculated.

For example, for the cumulative sum of co-channel interference power received by PRB1 in cell A, the specific formula is:

Among them, N is the number of terminals in each neighboring cell that has co-channel interference impact on PRB1 in cell A.

In the same way, the cumulative sum of the co-channel interference power suffered by PRB2 in cell A is as follows:

Among them, M is the number of terminals in each neighboring cell that has co-channel interference impact on PRB2 in cell A.

For cell A, based on the aggregated interference power of each terminal in the same frequency neighbor cell to each PRB and the physical resource allocation, the interference pattern of cell A at the next moment can be drawn, that is, the final uplink as shown in Table 3 Interference matrix format.

table 3

Step 207: Use the interference map to allocate resources to the target cell.

By cooperating with surrounding base stations, the interference status between the terminal and the serving cell and surrounding neighboring cells is dynamically identified based on the measurement reports reported by the terminal, and the interference map of the target cell at the next moment is drawn, based on the user location distribution characteristics and service rate requirements, and prediction based on the interference map Accurately scheduling resources according to the situation can ensure the transmission rate of end-user video services while maximizing the utilization of spectrum resources. For example, for a video service user with a large path loss to the target cell, since the user is greatly affected by interference, uplink physical resources are allocated to the user first.

The use of interference patterns to allocate resources to the target cell further includes:

Target terminals that use the target cell as the serving cell and have bandwidth requirements greater than a preset bandwidth threshold are screened out according to the target cell reference signal received power, and physical resource blocks are allocated to the target terminals with priority. For the target terminal with a large path loss to the target cell, because it is greatly affected by uplink co-channel interference, uplink physical resources are allocated to the target terminal first, and then physical resources are allocated to other terminals/users;

And/or, give priority to allocating physical resource blocks with no interference or interference power less than a preset threshold to the video service terminal, so as to reduce the impact of the video service terminal from uplink co-channel interference and meet the requirements for the uplink transmission rate of the video service;

And/or, allocate physical resource blocks based on service rate requirements and the interference pattern of the target cell at the next moment. For example, precise scheduling can be implemented on user MCS, transmit power and number of physical resource blocks (PRBs).

The solution provided by the above embodiments of the present invention obtains the reference signal received power of the terminal's serving cell and the reference signal received power from the terminal to the target cell through the terminal measurement report of the same-frequency neighboring cell of the target cell, and establishes a terminal interference matrix to perceive the same frequency. Terminals in neighboring cells that cause uplink intra-network interference to the target cell. And, by calculating the path loss from the terminal to the target cell, the terminal transmit power, the resource allocation of the terminal, and the interference power of each physical resource block of the target cell by the terminal, the aggregate interference power of all terminals in the area to each physical resource block of the target cell is obtained , as the interference map of the target cell at the next moment is drawn. The present invention is a resource allocation method that accurately schedules resources based on user location distribution characteristics and service rate requirements, combined with interference map predictions. It ensures the end user's video service transmission rate while also improving the utilization of spectrum resources.

Figure 8 shows a schematic structural diagram of a resource allocation device according to an embodiment of the present invention. As shown in Figure 8, the device 200 includes: a first acquisition module 2011, a first calculation module 2012, a second acquisition module 2013, a second calculation module 2014 and a resource allocation module 2015.

The first acquisition module 2011 is used to obtain the terminal measurement report of at least one co-frequency neighboring cell of the target cell, and sense at least one terminal in the at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell;

The first calculation module 2012 is used to calculate the interference fluctuation power in the uplink network of the at least one terminal;

The second acquisition module 2013 is used to acquire the physical resource allocation situation of the terminal at the next moment of the at least one co-frequency neighboring cell;

The second calculation module 2014 is used to draw the interference map of the target cell at the next moment according to the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation situation;

The resource allocation module 2015 is configured to use the interference map to allocate resources to the target cell.

In an optional manner, the first acquisition module 2011 is further used to:

A terminal interference matrix is established based on the terminal's serving cell reference signal received power and the terminal's reference signal received power to the target cell in the terminal measurement report.

In an optional manner, the first calculation module 2012 is further used to:

According to the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell, the path loss from the terminal to the target cell is obtained;

The transmit power of the terminal is obtained according to the transmit power margin of the terminal.

In an optional manner, the first calculation module 2012 is further used to:

Obtaining the path loss from the terminal to the target cell is specifically achieved through the following formula:

PL(i,A)＝RS _{CELL A} -RSRP _{CELL A}

Among them, PL(i,A) is the path loss from terminal i to target cell A; RS _{CELL A} is the reference signal power configuration of target cell A; RSRP _{CELL A} represents the RSRP measurement value from terminal i to target cell A.

In an optional manner, the first calculation module 2012 is further used to:

Obtaining the transmit power of the terminal according to the transmit power margin of the terminal is specifically implemented by the following formula:

P _Txi≈ (23-PHR)

Among them, P _Txi is the transmit power of terminal i; PHR is the power headroom report.

In an optional manner, the second calculation module 2014 is further used to:

Calculate the interference power of the terminal to each physical resource block of the target cell based on the number of physical resource blocks occupied by the terminal at the next moment, the path loss from the terminal to the target cell, and the transmit power of the terminal;

The aggregate interference power of all terminals on each physical resource block of the target cell is calculated as the interference pattern of the target cell at the next moment.

In an optional manner, the resource allocation module 2015 is further used to:

Screen out target terminals that use the target cell as the serving cell and have bandwidth requirements greater than the preset bandwidth threshold according to the target cell reference signal received power, and allocate physical resource blocks to the target terminals with priority;

and/or, give priority to allocating physical resource blocks with no interference or interference power less than a preset threshold to video service terminals;

And/or, allocate physical resource blocks based on service rate requirements and the interference pattern of the target cell at the next moment.

The solution provided by the above embodiments of the present invention obtains the terminal measurement report of at least one co-frequency neighbor cell of the target cell, senses at least one terminal in at least one co-frequency neighbor cell that causes uplink intra-network interference to the target cell; calculates the The interference fluctuation power in the uplink network; obtain the physical resource allocation situation of the terminal at the next moment of at least one co-frequency neighboring cell; draw the interference of the target cell at the next moment based on the interference fluctuation power and physical resource allocation situation of at least one terminal in the uplink network Map; use the interference map to allocate resources to the target cell. This invention predicts the co-channel interference noise floor value at the next moment based on the user distribution at the current moment and the reported measurement information, and provides a spectrum resource scheduling method based on user scale, business density and spectrum resource usage, which improves co-channel interference. interference and user experience, and improves the utilization of spectrum resources. At the same time, the interference spectrum prediction is performed based on the measurement reports reported by the surrounding base stations in cooperation with the terminals to identify the interference status between the terminal and the target cell and surrounding neighboring cells. Since the analysis and prediction are only based on the existing data, the complexity of the project implementation is reduced.

Figure 9 shows a schematic structural diagram of an embodiment of the computing device of the present invention. The specific embodiment of the present invention does not limit the specific implementation of the computing device.

As shown in FIG. 9 , the computing device may include: a processor (processor) 302 , a communications interface (Communications Interface) 304 , a memory (memory) 306 , and a communications bus 308 .

Among them: the processor 302, the communication interface 304, and the memory 306 complete communication with each other through the communication bus 308. The communication interface 304 is used to communicate with network elements of other devices such as clients or other servers. The processor 302 is configured to execute the program 310. Specifically, it may execute the above-mentioned related steps in the resource allocation method embodiment.

Specifically, program 310 may include program code including computer operating instructions.

The processor 302 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in the resource allocation device may be the same type of processor, such as one or more CPUs; or they may be different types of processors, such as one or more CPUs and one or more ASICs.

Memory 306 is used to store program 310. The memory 306 may include high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.

The program 310 may be specifically used to cause the processor 302 to perform the following operations:

Obtaining a terminal measurement report of at least one co-frequency neighboring cell of the target cell, and sensing at least one terminal in the at least one co-frequency neighboring cell that causes uplink intra-network interference to the target cell;

Calculate the interference fluctuation power in the uplink network of the at least one terminal;

Obtain the physical resource allocation situation of the terminal at the next moment of the at least one co-frequency neighboring cell;

Draw the interference map of the target cell at the next moment according to the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation situation;

The interference map is used to allocate resources to the target cell.

In an optional manner, the program 310 causes the processor to perform the following operations:

A terminal interference matrix is established based on the terminal's serving cell reference signal received power and the terminal's reference signal received power to the target cell in the terminal measurement report.

In an optional manner, calculating the interference fluctuation power in the uplink network of the at least one terminal further includes:

According to the reference signal received power from the terminal to the target cell and the reference signal power configuration of the target cell, the path loss from the terminal to the target cell is obtained;

The transmit power of the terminal is obtained according to the transmit power margin of the terminal.

In an optional manner, the program 310 causes the processor to perform the following operations:

Obtaining the path loss from the terminal to the target cell is specifically achieved through the following formula:

PL(i,A)＝RS _CELLA -RSRP _{CELL A}

Among them, PL(i,A) is the path loss from terminal i to target cell A; RS _{CELL A} is the reference signal power configuration of target cell A; RSRP _{CELL A} represents the RSRP measurement value from terminal i to target cell A.

In an optional manner, the program 310 causes the processor to perform the following operations:

Obtaining the transmit power of the terminal according to the transmit power margin of the terminal is specifically implemented by the following formula:

P _Txi≈ (23-PHR)

Among them, P _Txi is the transmit power of terminal i; PHR is the power headroom report.

In an optional manner, drawing the interference map of the target cell at the next moment based on the interference fluctuation power in the uplink network of the at least one terminal and the physical resource allocation further includes:

Calculate the interference power of the terminal to each physical resource block of the target cell based on the number of physical resource blocks occupied by the terminal at the next moment, the path loss from the terminal to the target cell, and the transmit power of the terminal;

The aggregate interference power of all terminals on each physical resource block of the target cell is calculated as the interference pattern of the target cell at the next moment.

In an optional manner, using the interference pattern to allocate resources to the target cell further includes:

Screen out target terminals that use the target cell as the serving cell and have bandwidth requirements greater than the preset bandwidth threshold according to the target cell reference signal received power, and allocate physical resource blocks to the target terminals with priority;

And/or, give priority to allocating physical resource blocks with no interference or interference power less than a preset threshold to video service terminals;

And/or, allocate physical resource blocks based on service rate requirements and the interference pattern of the target cell at the next moment.

The solution provided by the above embodiments of the present invention obtains the terminal measurement report of at least one co-frequency neighbor cell of the target cell, senses at least one terminal in at least one co-frequency neighbor cell that causes uplink intra-network interference to the target cell; calculates the The interference fluctuation power in the uplink network; obtain the physical resource allocation situation of the terminal at the next moment of at least one co-frequency neighboring cell; draw the interference of the target cell at the next moment based on the interference fluctuation power and physical resource allocation situation of at least one terminal in the uplink network Map; use the interference map to allocate resources to the target cell. This invention predicts the co-channel interference noise floor value at the next moment based on the user distribution at the current moment and the reported measurement information, and provides a spectrum resource scheduling method based on user scale, business density and spectrum resource usage, which improves co-channel interference. interference and user experience, and improves the utilization of spectrum resources. At the same time, the interference spectrum prediction is performed based on the measurement reports reported by the surrounding base stations in cooperation with the terminals to identify the interference status between the terminal and the target cell and surrounding neighboring cells. Since the analysis and prediction are only based on the existing data, the complexity of the project implementation is reduced.

Embodiments of the present invention provide a non-volatile computer storage medium that stores at least one executable instruction. The computer executable instruction can execute the resource allocation method in any of the above method embodiments.

The algorithms or displays provided herein are not inherently associated with any particular computer, virtual system, or other device. Various general-purpose systems can also be used with teaching based on this. From the above description, the structure required to construct such a system is obvious. Furthermore, embodiments of the present invention are not directed to any specific programming language. It should be understood that a variety of programming languages may be utilized to implement the invention described herein, and that the above descriptions of specific languages are intended to disclose the best mode of carrying out the invention.

In the instructions provided here, a number of specific details are described. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this description.

Similarly, it will be understood that in the above description of exemplary embodiments of the invention, various features of embodiments of the invention are sometimes grouped together into a single implementation in order to streamline the invention and assist in understanding one or more of the various inventive aspects. examples, diagrams, or descriptions thereof. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art will understand that modules in the devices in the embodiment can be adaptively changed and arranged in one or more devices different from that in the embodiment. The modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method so disclosed may be employed in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of the equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features of different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

Various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will understand that a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some or all components according to embodiments of the present invention. The invention may also be implemented as an apparatus or apparatus program (eg, computer program and computer program product) for performing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such signals may be downloaded from an Internet website, or provided on a carrier signal, or in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the element claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, third, etc. does not indicate any order. These words can be interpreted as names. Unless otherwise specified, the steps in the above embodiments should not be understood as limiting the order of execution.

Claims (10)

1. A method of resource allocation, the method comprising:

acquiring a terminal measurement report of at least one same-frequency neighbor cell of a target cell, and sensing at least one terminal which generates uplink intra-network interference to the target cell in the at least one same-frequency neighbor cell;

calculating the uplink intra-network interference fluctuation power of the at least one terminal;

acquiring physical resource allocation conditions of the terminal at the next moment of the at least one same-frequency neighbor cell;

drawing an interference map of the target cell at the next moment according to the uplink intra-network interference fluctuation power of the at least one terminal and the physical resource allocation condition;

and utilizing the interference pattern to allocate the resources of the target cell.

2. The method of claim 1, wherein the sensing at least one terminal within the at least one on-channel neighbor cell that is generating uplink intra-network interference to a target cell further comprises:

and establishing a terminal interference matrix according to the reference signal receiving power of the serving cell of the terminal in the terminal measurement report and the reference signal receiving power of the terminal to the target cell.

3. The method of claim 1, wherein the calculating the uplink intra-network interference fluctuation power for the at least one terminal further comprises:

Obtaining the path loss from the terminal to the target cell according to the reference signal receiving power from the terminal to the target cell and the reference signal power configuration of the target cell;

and obtaining the transmitting power of the terminal according to the transmitting power allowance of the terminal.

4. A method according to claim 3, wherein the obtaining the path loss from the terminal to the target cell is achieved by the following formula:

PL(i,A)＝RS _CELLA -RSRP _CELLA

wherein PL (i, a) is the path loss of terminal i to target cell a; RS (Reed-Solomon) _CELLA Configuring reference signal power for a target cell A; RSRP _CELLA Representing the RSRP measurement of terminal i to target cell a.

5. A method according to claim 3, characterized in that said deriving the transmit power of the terminal from the transmit power headroom of the terminal is achieved by the following formula:

P _Txi ≈(23-PHR)

wherein P is _Txi The transmit power for terminal i; PHR is a power headroom report.

6. The method of claim 3, wherein the drawing the interference pattern of the target cell at the next time according to the uplink intra-network interference fluctuation power of the at least one terminal and the physical resource allocation condition further comprises:

Calculating interference power of the terminal to each physical resource block of the target cell according to the number of the physical resource blocks occupied by the terminal at the next moment, the path loss from the terminal to the target cell and the transmitting power of the terminal;

and calculating the aggregate interference power of all terminals to each physical resource block of the target cell, and taking the aggregate interference power as an interference pattern of the target cell at the next moment.

7. The method of claim 1, wherein the allocating resources of the target cell using the interference pattern further comprises:

screening a target terminal which takes a target cell as a service cell and has a bandwidth requirement greater than a preset bandwidth threshold according to the reference signal receiving power of the target cell, and preferentially distributing physical resource blocks to the target terminal;

and/or, preferentially distributing physical resource blocks with no interference or interference power smaller than a preset threshold value to the video service terminal;

and/or allocating physical resource blocks based on the service rate requirement and an interference pattern of the target cell at the next moment.

8. A resource allocation apparatus, the apparatus comprising:

the first acquisition module is used for acquiring a terminal measurement report of at least one same-frequency neighbor cell of a target cell and perceiving at least one terminal which generates uplink intra-network interference to the target cell in the at least one same-frequency neighbor cell;

The first calculation module is used for calculating the uplink intra-network interference fluctuation power of the at least one terminal;

the second acquisition module is used for acquiring the physical resource allocation situation of the terminal at the next moment of the at least one same-frequency adjacent cell;

the second calculation module is used for drawing an interference map of the target cell at the next moment according to the uplink intra-network interference fluctuation power of the at least one terminal and the physical resource allocation condition;

and the resource allocation module is used for allocating the resources of the target cell by utilizing the interference pattern.

9. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;

the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the resource allocation method according to any one of claims 1 to 7.

10. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the resource allocation method of any one of claims 1 to 7.