A method, device and storage medium for terminal association and wireless backhaul bandwidth resource allocation

Abstract

The present invention discloses a method for terminal association and backhaul resource allocation, comprising: obtaining wireless node information and terminal information; the wireless node comprises a first wireless node and a second wireless node; based on the wireless node information and the terminal information, determining the downlink capacity of the access link and the downlink capacity of the backhaul link; based on the downlink capacity of the access link and the downlink capacity of the backhaul link, determining wireless backhaul bandwidth resources and terminal association according to a first model. The present invention also discloses two terminal association and backhaul resource allocation devices and a storage medium.

Description

Technical Field

[0001] The present invention relates to the field of communications, and in particular to a method, device and storage medium for terminal association and wireless backhaul bandwidth resource allocation. Background Art

[0002] With the development and advancement of 5G technology, the 5G network architecture will also develop in the direction of integration, bandwidth and diversification, and the total number of devices connected to the global mobile communication network and mobile data traffic will also show explosive growth. In the future ultra-dense network, the deployment density of small base stations will increase, the proportion of deployment will also increase significantly, and the service range of a single base station will decrease.

[0003] The traditional wired backhaul mode cannot meet the requirements of dense deployment of small base stations due to its high cost and limited flexibility. Broadband millimeter wave wireless backhaul will be an effective supplement and extension of the existing wireless backhaul network. However, in ultra-dense wireless heterogeneous networks, the capacity of the wireless backhaul link will restrict the capacity of the access link. Therefore, how to effectively allocate backhaul network resources, access network resources, and the optimal association between users and base stations to improve the capacity of the network system is an urgent problem to be solved. Summary of the invention

[0004] In view of this, embodiments of the present invention hope to provide a terminal association and wireless backhaul bandwidth resource allocation method, device and storage medium, which can improve the capacity of the network system by effectively allocating backhaul network resources, access network resources, and optimal association between terminals and wireless nodes.

[0005] To achieve the above object, the technical solution of the embodiment of the present invention is implemented as follows:

[0006] An embodiment of the present invention provides a method for terminal association and wireless backhaul bandwidth resource allocation, including:

[0007] Acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node;

[0008] Determine, based on the wireless node information and the terminal information, a downlink capacity of an access link and a downlink capacity of a backhaul link; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node;

[0009] Based on the downlink capacity of the access link and the downlink capacity of the backhaul link, wireless backhaul bandwidth resources and terminal association are determined according to a first model; the terminal association is an association relationship between the terminal and the wireless node.

[0010] In the above solution, determining the downlink capacity of the access link and the downlink capacity of the backhaul link based on the wireless node information and the terminal information includes:

[0011] Determine, based on the wireless node information and the terminal information, an access link gain between the terminal and the wireless node, and a backhaul link gain between the first wireless node and the second wireless node;

[0012] Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information;

[0013] Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node are determined.

[0014] In the above solution, the determining of wireless backhaul bandwidth resources and terminal association according to the first model based on the downlink capacity of the access link and the downlink capacity of the backhaul link includes:

[0015] Under the first constraint condition that the relevant parameters of the second wireless node and the backhaul resource are satisfied, obtaining a maximum value of a throughput model representing the sum of terminal logarithmic rates of all access links;

[0016] The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

[0017] In the above solution, obtaining the maximum value of the throughput model representing the sum of the logarithmic rates of the access link and the backhaul link includes:

[0018] Under the first constraint condition that the relevant parameters of the second wireless node and the backhaul resource constitute the first constraint condition, based on the first model, a second model characterizing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal is obtained when the wireless backhaul bandwidth resource is zero, and a third model characterizing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal; the third model only includes the wireless backhaul bandwidth resource variable;

[0019] Determining terminal association and backhaul resources when both the second model and the third model converge;

[0020] Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of a sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal is determined according to the throughput model.

[0021] In the above solution, the determining of the terminal association and the wireless backhaul bandwidth resources when both the second model and the third model converge includes:

[0022] Determine the terminal association corresponding to the maximum value of the second model under the condition that the relevant parameters of the second wireless node and the second constraint formed by the backhaul resource are satisfied;

[0023] Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model;

[0024] updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined;

[0025] The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

[0026] The embodiment of the present invention further provides a terminal association and wireless backhaul bandwidth resource allocation device, comprising: an acquisition module, a first determination module and a second determination module; wherein:

[0027] The acquisition module is used to acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node;

[0028] The first determination module is used to determine the downlink capacity of the access link and the downlink capacity of the backhaul link based on the wireless node information and the terminal information; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node;

[0029] The second determination module is used to determine the wireless backhaul bandwidth resources and the terminal association according to the first model based on the downlink capacity of the access link and the downlink capacity of the backhaul link; the terminal association is the association relationship between the terminal and the wireless node.

[0030] In the above solution, the first determination module is specifically used to determine the access link gain between the wireless node and the terminal, and the backhaul link gain between the first wireless node and the second wireless node based on the wireless node information and the terminal information;

[0031] Determine an access link signal-to-noise ratio between the wireless node and the terminal, and determine a backhaul link signal-to-noise ratio between the first wireless node and the second wireless node based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information;

[0032] Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node are determined.

[0033] In the above scheme, the second determination module is specifically used to obtain the maximum value of the throughput model representing the sum of downlink logarithmic rates generated by the communication between all the wireless nodes and all the terminals under the first constraint condition that the relevant parameters of the second wireless node and the backhaul resource are satisfied;

[0034] The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

[0035] In the above scheme, the second determination module is specifically used to obtain, based on the first model, a second model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal when the wireless backhaul bandwidth resource is zero, and a third model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal, under the first constraint condition that the relevant parameters of the second wireless node and the backhaul resource are satisfied; the third model only includes wireless backhaul bandwidth resource variables;

[0036] Determining terminal association and backhaul resources when both the second model and the third model converge;

[0037] Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of a sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal is determined according to the throughput model.

[0038] In the above solution, the second determination module is specifically used to determine the terminal association corresponding to the maximum value of the second model under the second constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied;

[0039] Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model;

[0040] updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined;

[0041] The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

[0042] The embodiment of the present invention further provides a terminal association and wireless backhaul bandwidth resource allocation device, comprising: a processor and a memory for storing a computer program that can be run on the processor,

[0043] Wherein, when the processor is used to run the computer program, it executes the steps of any one of the above-mentioned terminal association and wireless backhaul bandwidth resource allocation methods.

[0044] An embodiment of the present invention further provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the terminal association and wireless backhaul bandwidth resource allocation methods described above are implemented.

[0045] The terminal association and wireless backhaul bandwidth resource allocation method, device and storage medium provided in the embodiment of the present invention obtain wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node; based on the wireless node information and the terminal information, the downlink capacity of the access link and the downlink capacity of the backhaul link are determined; based on the downlink capacity of the access link and the downlink capacity of the backhaul link, the wireless backhaul bandwidth resources and terminal association are determined according to the first model; in this way, the backhaul network resources, the access network resources, and the optimal association between the terminal and the wireless node can be effectively allocated, and improving the capacity of the network system is an urgent problem to be solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of a network system architecture provided by an embodiment of the present invention;

[0047] Figure 2 A schematic diagram of a processing flow of a method for terminal association and wireless backhaul bandwidth resource allocation according to an embodiment of the present invention;

[0048] Figure 3 A schematic diagram of a process for determining downlink capacity of an access link and a backhaul link according to an embodiment of the present invention;

[0049] Figure 4 This is a schematic diagram of the processing flow of the method for terminal association and wireless backhaul bandwidth resource allocation according to the second embodiment of the present invention;

[0050] Figure 5 A schematic diagram of a process flow for calculating the downlink rate of a terminal and a wireless node according to an embodiment of the present invention;

[0051] Figure 6 A schematic diagram of a process flow for obtaining a terminal association matrix according to an embodiment of the present invention;

[0052] Figure 7 It is a schematic diagram of the composition structure of the terminal association and wireless backhaul bandwidth resource allocation device according to an embodiment of the present invention;

[0053] Figure 8 The figure is a schematic diagram of the hardware structure of the terminal association and wireless backhaul bandwidth resource allocation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to more thoroughly understand the features and technical contents of the embodiments of the present invention, the implementation of the embodiments of the present invention is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not intended to limit the present invention.

[0055] Before further describing the present invention in detail, the nouns and terms involved in the embodiments of the present invention are explained. The nouns and terms involved in the embodiments of the present invention are subject to the following explanations.

[0056] 1) Backhaul link, which refers to the communication link between the first wireless node and the second wireless node.

[0057] 2) Access link, including a communication link between a first wireless node and a terminal, and a communication link between a second wireless node and a terminal.

[0058] 3) Wireless backhaul bandwidth resources, denoted by β, refer to the ratio of the frequency band of wireless backhaul to the frequency band of the network system, and 0≤β≤1.

[0059] 4) Terminal association, indicating the association relationship between the terminal and the wireless node, including: the terminal has an association relationship with the wireless node, and the terminal has no association relationship with the wireless node; the terminal has an association relationship with the wireless node, indicating that the terminal is within the service range of the wireless node; the terminal has no association relationship with the wireless node, indicating that the terminal is not within the service range of the wireless node.

[0060] 5) The first wireless node refers to a macro base station, i.e., a base station connected to the core network by optical fiber. In the embodiment of the present invention, the first wireless node has a coverage range of 350m, a transmission power of 43dBm, and is equipped with a large-scale antenna with 100 antennas. The first wireless node forms a backhaul link with the second wireless node through the beamforming technology of the large-scale antenna, and forms an access link with its user.

[0061] 6) The second wireless node refers to a small cell base station. In the embodiment of the present invention, the second wireless node has a coverage range of 100m, a transmission power of 40dBm, is equipped with a single antenna, and is connected to the macro base station and its users through wireless access. The capacity of its access link is limited by the capacity of the backhaul link.

[0062] In the related art, resource allocation schemes for heterogeneous networks include at least: 1) a resource allocation scheme based on graph theory to address intra-cell and inter-cell interference issues to improve network capacity. 2) a dynamic resource allocation scheme that uses coordinated multipoint (CoMP) communication technology to eliminate inter-cell interference and adopts a dynamic frame structure to meet system traffic requirements.

[0063] In the related technology, the terminal association schemes include at least: 1) Dynamically expand or reduce the service range of the cell through the Cell Range Multipoint (CoMP) technology to change the association relationship between the wireless node and the terminal, thereby balancing the system load. 2) Consider the impact of geographical factors on the association using the equal path loss boundary (EPB) scheme, with the wireless node as the center, and associate the terminals whose path loss between the wireless node and the terminal is lower than a specific threshold with the wireless node. 2) Maximum signal-to-noise ratio association scheme, hotspot boundary association scheme, service quality terminal association scheme, etc.

[0064] In the related art, resource allocation schemes usually consider the interference coordination problem between cells, and terminal association schemes usually consider the load balancing problem. However, there is no scheme that comprehensively considers resource allocation and terminal association in the related art. On the one hand, there is a coupling relationship between resource allocation and terminal association, that is, the number of terminals associated with each wireless node will affect the usage of the wireless backhaul bandwidth resources of the wireless node; on the other hand, the amount of wireless backhaul bandwidth resources allocated to each wireless node also affects how many terminals the wireless node can be associated with. In ultra-dense wireless backhaul heterogeneous networks, the backhaul capacity of the system will restrict the access of terminals. With the density of cells and the sharp increase in the number of connected devices of terminals, the restriction problem between resource allocation and terminal association is becoming increasingly prominent.

[0065] In view of the above problems, the embodiments of the present invention further provide a method and apparatus for terminal association and wireless backhaul bandwidth resource allocation, wherein the apparatus for terminal association and wireless backhaul bandwidth resource allocation is the main body for implementing the method for terminal association and wireless backhaul bandwidth resource allocation, and can be implemented in a variety of ways in actual applications, for example, implemented as a platform system carried by a server, a server cluster or an electronic device; for another example, embedded as a functional module in an existing server, a server cluster or an electronic device, and sharing hardware resources (for example, communication interfaces and computing resources) with the embedded server, server cluster or electronic device. Other implementation forms of the apparatus for terminal association and wireless backhaul bandwidth resource allocation can be implemented by those skilled in the art based on their understanding of the following records.

[0066] A schematic diagram of a network system architecture of a method for terminal association and wireless backhaul bandwidth resource allocation provided by an embodiment of the present invention is shown in FIG. Figure 1 As shown, the network system is a two-layer heterogeneous network, deploying a first wireless node and N s Second wireless nodes, N u The first wireless node is configured with N t The first wireless node has a transmission power of P0=10W, and the second wireless node has a transmission power of P1=10W. j =2W, the multiple-input multiple-output (MIMO) antenna array of the first wireless node generates N by using the Zero-Forcing Beam Forming (ZFBF) method. g The beams are used to serve the backhaul link and the terminals of the first wireless node. All second wireless nodes are randomly distributed within the circular range of the first wireless node with a radius of R = 700m. Among them, 70% of the terminals are randomly distributed within the service range of the second wireless node, forming a hotspot cell; 30% of the terminals are not within the service range of the second wireless node, but within the service range of the first wireless node, and receive services from the first wireless node.

[0067] Since the first wireless node in the heterogeneous network adopts MIMO antenna configuration and the transmission power of the first wireless node is greater than that of the second wireless node, the first wireless node has a great advantage over the second wireless node, and also generates great interference to the second wireless node. In order to avoid interference of the first wireless node to the second wireless node, the time slot configuration of the first wireless node and the second wireless node adopts the reverse time division duplex (RTDD, Reverse TDD) form. When the first wireless node is in the downlink time slot, the first wireless node communicates with its terminal on the access link and transmits information to the second wireless node on the backhaul link; at this time, the second wireless node is in the uplink time slot, and the second wireless node receives information from the terminal it serves and the backhaul information of the first wireless node. Since the transmission power of the first wireless node is large, in order to avoid the information of the terminal received by the second wireless node being overwhelmed by the backhaul information, the backhaul link and the access link need to use different frequency bands.

[0068] Embodiment 1

[0069] The processing flow of the terminal association and wireless backhaul bandwidth resource allocation method provided in the first embodiment of the present invention is as follows: Figure 2 As shown, the following steps are included:

[0070] Step S101, obtaining wireless node information and terminal information.

[0071] In an optional embodiment, a distribution diagram of wireless node terminals is deployed according to the standard of 3GPP TR 38.901 protocol, where the wireless nodes include a first wireless node and a second wireless node. s The second wireless node set consisting of second wireless nodes is represented by S, S = {1, 2, ..., N s}; the set of all wireless nodes is represented by S0, S0=S∪{0}, 0 represents the first wireless node; the terminal set composed of multiple terminals is represented by u.

[0072] Correspondingly, the wireless node information includes: first wireless node information and second wireless node information.

[0073] The wireless node information includes at least: the power bias of the second wireless node, the transmission power of the second wireless node to the terminal, the antenna gain of the first wireless node, the antenna gain of the second wireless node, the system noise power, the distance from the terminal to the second wireless node, the distance from the terminal to the first wireless node, etc.

[0074] Step S102: Determine the downlink capacity of the access link and the downlink capacity of the backhaul link based on the wireless node information and the terminal information.

[0075] In an optional implementation, the specific process of determining the downlink capacity of the access link and the backhaul link is as follows: Figure 3 Said, comprising the following steps:

[0076] Step S1021: Based on the wireless node information and the terminal information, determine the access link gain between the wireless node and the terminal, and the backhaul link gain between the first wireless node and the second wireless node.

[0077] In an optional implementation, taking a two-layer heterogeneous network located in the 30 GHz frequency band as an example, H 0,i represents the access link gain between the i-th terminal and the first wireless node, H j,i represents the access link gain between the i-th terminal and the j-th second wireless node, H j represents the backhaul link gain between the first wireless node and the j-th second wireless node.

[0078] In an optional implementation, the UMa-LOS model is used as the channel model from the first wireless node to the i-th terminal, σ BS =4.0, determine H by the following formula (1) 0,i

[0079]

[0080]

[0081]

[0082] Among them, d i,3D is the three-dimensional distance between the first wireless node and the i-th terminal, f c Indicates the carrier frequency, is the shadow fading that obeys the log-normal distribution, is the variance of a zero-mean Gaussian random variable, d i,2D is the two-dimensional plane distance between the first wireless node and the i-th terminal, h BS is the antenna height of the first wireless node, h UT is the antenna height of the terminal, d' BP =4h' BS h' UT f c / c is the breakpoint distance, which is used to determine the use of H 0,i,1 or H 0,i,2 To represent the path gain between the first wireless node terminals.

[0083] The UMi-LOS model used is the channel model from the jth second wireless node to the i-th terminal, σ SC=4.0, and Hj,i is determined by the following formula (2):

[0084]

[0085]

[0086]

[0087] Among them, d j,i,3D is the three-dimensional space distance between the jth second wireless node and the ith terminal, d j,2D represents the two-dimensional plane distance between the j-th second wireless node and the i-th terminal, is the shadow fading that obeys the log-normal distribution, where is the variance of a Gaussian random variable with zero mean.

[0088] The UMa-LOS model used is the channel model from the first wireless node to the jth second wireless node, σ BS =4.0, Hj is determined by the following formula (3):

[0089]

[0090]

[0091]

[0092] Among them, d j,3D represents the three-dimensional space distance between the first wireless node and the jth second wireless node, d j,2D represents the two-dimensional plane distance from the first wireless node to the j-th second wireless node.

[0093] Step S1022: Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information.

[0094] In an optional implementation manner, the access link signal-to-noise ratio between the first wireless node and the i-th terminal is calculated by the following formula (4):

[0095]

[0096] Among them, γ 0,i represents the access link signal-to-noise ratio between the first wireless node and the i-th terminal, P 0,i is the transmission power of the first wireless node to the i-th terminal, G 0,i is the antenna gain of the first wireless node, N0 is the noise power, H 0,i represents the access link gain between the i-th terminal and the first wireless node.

[0097] The access link signal-to-noise ratio between the j-th second wireless node and the i-th terminal is calculated by the following formula (5):

[0098]

[0099] Among them, A j is the power bias of the jth second wireless node, P j,i is the transmission power of the jth second wireless node to the i-th terminal, G j,i is the antenna gain of the jth second wireless node, H j,i represents the access link gain between the i-th terminal and the j-th second wireless node, N0 is the noise power, is the interference from other second wireless nodes except the j-th second wireless node.

[0100] Here, in the process of solving the objective function, the power bias of the second wireless node is added to expand the service range of the second wireless node, avoiding the problem of overloading the first wireless node due to too many terminals associated with the large transmission power of the first wireless node and the advantages of the MIMO antenna array configuration.

[0101] The backhaul link signal-to-noise ratio between the first wireless node and the jth second wireless node is calculated by the following formula (6):

[0102]

[0103] Among them, P 0,j is the transmission power of the first wireless node to the jth second wireless node, H j is the backhaul link gain between the first wireless node and the jth second wireless node, N s represents the number of second wireless nodes, N t Indicates the number of antennas of the first wireless node.

[0104] Step S1023, based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, determine the first downlink baseband rate of the second wireless node and the terminal, the second downlink baseband rate of the first wireless node and the terminal, and the third downlink baseband rate of the first wireless node and the second wireless node.

[0105] In an optional implementation manner, the downlink baseband rate between the j-th second wireless node and the i-th terminal, that is, the first downlink baseband rate, is calculated by the following formula (7):

[0106]

[0107] The downlink baseband rate between the first wireless node and the i-th terminal, that is, the second downlink baseband rate, is calculated by the following formula (8):

[0108] r 0,i =log2(1+γ 0,i ) (8)

[0109] The downlink baseband rate of the first wireless node and the j-th second wireless node, that is, the third downlink baseband rate, is calculated by the following formula (9):

[0110] c j =log2(1+γ j ) (9)

[0111] Step S103: determining wireless backhaul bandwidth resources and terminal associations according to a first model based on the downlink baseband rate of the access link and the downlink baseband rate of the backhaul link.

[0112] In an optional implementation, under the first constraint condition of satisfying the user association matrix value specification, the wireless backhaul resource ratio and the backhaul bottleneck, the maximum value of the throughput model representing the sum of the logarithmic rates of the system access links is first obtained; and then the wireless backhaul bandwidth resources and terminal associations corresponding to the maximum value of the throughput model are obtained.

[0113] Here, the first model is the maximum value of the throughput model that characterizes the sum of the logarithmic rates of the system access links, as shown in Formula 10:

[0114]

[0115] In the embodiment of the present invention, the objective function takes maximizing the sum of the logarithmic rates of the network system throughput as the optimization goal, so that there is no situation in the optimization result where the throughput of a certain terminal is too large or too small.

[0116] The throughput generated by the communication between the j-th second wireless node and all the terminals it serves is as shown in Formula 11:

[0117]

[0118] x j,i represents the association relationship between the i-th terminal and the j-th second wireless node, x j,i ∈{0,1},x j,i =1 indicates that the i-th terminal is associated with the j-th second wireless node, x j,i =0 indicates that the i-th terminal is not associated with the j-th second wireless node, and β indicates wireless backhaul bandwidth resources.

[0119] The throughput generated by wireless node 1 communicating with all terminals it serves is shown in formula 12:

[0120]

[0121] The throughput of the backhaul link between the first wireless node and the j-th second wireless node is as shown in Formula 13:

[0122] C j =βlog2(1+γ j ) (13)

[0123] Based on the throughput model shown in Formula 10, the objective function is constructed with the maximum value of the throughput model as the optimization target, that is:

[0124]

[0125] The first constraint is:

[0126]

[0127]

[0128] 0≤β≤1 (17)

[0129] For the objective function, the original decomposition method (upper decomposition method) is used to decompose the objective function and return the constraint R j ≤C j is a nonlinear and nonconvex coupling constraint, but by setting a fixed value of β (such as β = 0), it can be transformed into a constraint about x. j,i In addition, in the objective function, β and x j,i can be decomposed into independent variables.

[0130] Therefore, through the original decomposition method, the objective function is decomposed into the terminal association sub-problem and the wireless backhaul bandwidth resource allocation sub-problem, that is, j,i Convex optimization function of:

[0131]

[0132] The corresponding second constraint is:

[0133]

[0134]

[0135] β=0

[0136] A monotonically decreasing function of β:

[0137]

[0138] Formula (18) is decomposed using the dual decomposition method (lower layer decomposition method). In order to avoid complex inter-layer collaboration in heterogeneous networks, a distributed method is used to solve the terminal association problem in Formula 18. In one embodiment, an auxiliary variable is introduced

[0139] Transform formula 18 into:

[0140]

[0141] Among them, K j represents the number of terminals connected to the jth second wireless node, obtained by the wireless node; x j,i Indicates that the i-th terminal selects the best associated j-th wireless node, which is processed by the terminal; K is converted into j and x j,i The wireless node and terminal are processed separately, avoiding complex centralized processing and complex inter-layer collaboration.

[0142] Based on the above, the objective function (10) is decomposed into formula (18) and formula (19), and after formula (18) is transformed into formula (21), formula (21) is solved, and a specific step size is selected to continuously iterate and update until formula (21) converges to find the best terminal association X * Then the obtained X * Substitute into formula (19) and solve the optimal wireless backhaul bandwidth resource β through backhaul constraints. * Then β * Substitute into formula (21) and update X * , and iterate until both formula (19) and formula (21) converge. Then X * and β * is the optimal solution; that is, to obtain the optimal wireless backhaul bandwidth resource β * and the optimal terminal association X * .

[0143] In the embodiment of the present invention, the upper layer original decomposition method in the two-layer decomposition method is used to decompose the objective function into a terminal association subproblem and a wireless backhaul bandwidth resource allocation subproblem; the lower layer dual decomposition method is used to decompose the two subproblems of the terminal association problem and process them separately on the wireless node side and the terminal side, thereby reducing the amount of calculation and the complexity of the calculation and improving the timeliness.

[0144] In the embodiments of the present invention, unlike the related art in which the wireless backhaul bandwidth resources are set to customization to simply obtain terminal association, the wireless backhaul bandwidth resources and access resources of the network system are updated according to the dynamic changes in the number of terminals served by the first wireless node and the second wireless node; at the same time, the terminal can also select the associated wireless node according to the allocation of the wireless backhaul bandwidth resources and the access resources; that is, the wireless backhaul bandwidth resources and the terminal association are optimized by joint optimization, thereby improving the resource utilization and the throughput of the network system.

[0145] In an optional implementation, based on the obtained optimal wireless backhaul bandwidth resources and the optimal terminal association, the sum of the logarithmic rates of the throughput of the network system can be obtained according to formula (10).

[0146] Embodiment 2

[0147] The second embodiment of the present invention provides a processing flow of a method for implementing terminal association and wireless backhaul bandwidth resource allocation based on a simulation program, such as Figure 4 As shown, the following steps are included:

[0148] Step S201, obtaining specific location information and configuration parameter information of wireless nodes and terminals in a heterogeneous network, and constructing a wireless node set and a terminal set.

[0149] In one embodiment, the wireless node set S0 includes a first wireless node and a second wireless node, and the terminal set is represented by u.

[0150] Step S202: determine the downlink rate of each terminal and each wireless node.

[0151] In a specific implementation, the specific implementation process of calculating the downlink rate of each terminal and each wireless node using ray tracing (RT) is as follows: Figure 5 As shown, the following steps are included:

[0152] Step S2021, initialize wireless node information and terminal information.

[0153] In an optional implementation, the wireless node information includes: location information and configuration information of the wireless node, and the terminal information includes location information of the terminal; such as the array form of the antenna, the directivity of the antenna, the polarization mode of the antenna, and the transmission power, etc.;

[0154] And configure the antenna.json, shapshot.json, and task.json files in the simulation program according to the above information.

[0155] Step S2022, open the direct reflection, second-order reflection, scattering and transmission in the simulation program, run the RT simulation program, and store the channel snapshot information.

[0156] Step S2023: Calculate the current channel matrix W using the ZFBF algorithm according to the channel snapshot information.

[0157] Step S2024: change the antenna excitation according to the current channel information W, and regenerate the antenna.json file consistent with the channel information.

[0158] Specifically, the RT program is called again to calculate the received power of the receiving end. The received power of the terminal accessing the first wireless node of the link is The receiving power of the terminal of the jth second wireless node is The receiving power of the jth second wireless node in the backhaul link is The signal-to-noise ratio of the receiving end is calculated using each receiving power. The downlink signal-to-noise ratio of the first wireless node and the i-th terminal is The downlink signal-to-noise ratio between the jth second wireless node and the i-th terminal is The signal-to-noise ratio of the backhaul link between the first wireless node and the jth second wireless node is

[0159] Step S2025: Calculate the downlink rates of the access link and the backhaul link using the signal-to-noise ratio information of the receiving end.

[0160] The downlink baseband rate between the jth second wireless node and the ith terminal is:

[0161]

[0162] The downlink baseband rate between the first wireless node and the i-th terminal is: 0,i =log2(1+γ 0,i );

[0163] The downlink baseband rate between the first wireless node and the jth second wireless node is: j =log2(1+γ j ).

[0164] Step S203, constructing an objective function.

[0165] The logarithmic rate energy efficiency function is used to model the optimization objective.

[0166]

[0167]

[0168]

[0169]

[0170]

[0171] 0≤β≤1 (27)

[0172] Step S204, solving the terminal association matrix X using the maximum signal-to-noise ratio criterion.

[0173] In an optional implementation, the specific implementation process of obtaining the terminal association matrix is ​​as follows: Figure 6 As shown, including:

[0174] Step S2041, setting the correlation matrix X to an all-zero matrix.

[0175] Step S2042: establishing a wireless node subset with a signal-to-noise ratio greater than a preset threshold for each terminal.

[0176] Here, the preset threshold can be flexibly set as needed, such as being set to -3dB.

[0177] The wireless node subset of the i-th terminal is S i , from S i Find the jth wireless node in the set that can provide the maximum signal-to-noise ratio to terminal i, and set x in the terminal association matrix X j,i The element is 1.

[0178] Step S2043, repeating step S2042 until a wireless node that can provide the maximum signal-to-noise ratio is found for each terminal, and the assignment of the terminal association matrix X is completed.

[0179] Step S205: according to the return constraint R j ≤C j And the terminal association matrix X is used to solve the backhaul bandwidth ratio β.

[0180] In an optional implementation, using the backpropagation constraint R j ≤C j get:

[0181]

[0182] Reusing the terminal association matrix X and the known r j,i , c j The value of β is obtained by

[0183] Step S206, obtaining the network system throughput according to the obtained terminal association matrix X and the wireless backhaul bandwidth resource β.

[0184] The second embodiment of the present invention utilizes the ray tracing method and the ZFBF precoding technology to simulate the channel information of each link in a simulated heterogeneous network scenario and calculate the receiving power of the receiving end.

[0185] Embodiment 3 of the present invention further provides a terminal association and wireless backhaul bandwidth resource allocation device, the composition structure of the terminal association and wireless backhaul bandwidth resource allocation device is as follows: Figure 7 As shown, it includes: an acquisition module 10, a first determination module 11 and a second determination module 12; wherein,

[0186] The acquisition module 10 is used to acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node;

[0187] The first determination module 11 is used to determine the downlink capacity of the access link and the downlink capacity of the backhaul link based on the wireless node information and the terminal information; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node;

[0188] The second determination module 12 is used to determine the wireless backhaul bandwidth resources and the terminal association according to the first model based on the downlink capacity of the access link and the downlink capacity of the backhaul link; the terminal association is the association relationship between the terminal and the wireless node.

[0189] In the above solution, the first determination module 11 is specifically used to determine the access link gain between the wireless node and the terminal, and the backhaul link gain between the first wireless node and the second wireless node based on the wireless node information and the terminal information;

[0190] Determine an access link signal-to-noise ratio between the wireless node and the terminal, and determine a backhaul link signal-to-noise ratio between the first wireless node and the second wireless node based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information;

[0191] Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, determine a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node.

[0192] In the above solution, the second determination module 12 is specifically used to obtain the maximum value of the throughput model representing the sum of the access link throughputs under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied;

[0193] The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

[0194] In the above scheme, the second determination module 12 is specifically used to obtain, based on the first model, a second model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal when the wireless backhaul bandwidth resource is zero, and a third model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal, under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resource are satisfied; the third model only includes wireless backhaul bandwidth resource variables;

[0195] Determining terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge;

[0196] Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of the sum of the access link logarithmic rates is determined according to the throughput model.

[0197] In the above solution, the second determination module 12 is specifically used to determine the terminal association corresponding to the maximum value of the second model under the second constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied;

[0198] Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model;

[0199] updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined;

[0200] The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

[0201] In practical applications, the acquisition module 10, the first determination module 11 and the second determination module 12 can all be implemented by a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA) located in the terminal association and wireless backhaul bandwidth resource allocation device.

[0202] The embodiment of the present invention further provides a terminal association and wireless backhaul bandwidth resource allocation device, the hardware composition structure of the terminal association and wireless backhaul bandwidth resource allocation device is as follows: Figure 8As shown, it includes: a processor 701 and a memory 702 for storing a computer program that can be run on the processor 701,

[0203] Wherein, when the processor 701 is used to run the computer program, it executes:

[0204] Acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node;

[0205] Determine a downlink baseband rate of an access link and a downlink baseband rate of a backhaul link based on the wireless node information and the terminal information; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node;

[0206] Based on the downlink baseband rate of the access link and the downlink baseband rate of the backhaul link, wireless backhaul bandwidth resources and terminal association are determined according to a first model; the terminal association is an association relationship between the terminal and the wireless node.

[0207] When the processor 701 is used to run the computer program, it further executes: based on the wireless node information and the terminal information, determining the access link gain between the wireless node and the terminal, and the backhaul link gain between the first wireless node and the second wireless node;

[0208] Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information;

[0209] Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node are determined.

[0210] When the processor 701 is used to run the computer program, it further executes: obtaining a maximum value of a throughput model representing the sum of terminal logarithmic rates of all access links under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied;

[0211] The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

[0212] When the processor 701 is used to run the computer program, it further executes: under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resource are satisfied, based on the first model, obtaining a second model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal when the wireless backhaul bandwidth resource is zero, and a third model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal; the third model only includes wireless backhaul bandwidth resource variables;

[0213] Determining terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge;

[0214] Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of the sum of the access link throughput logarithmic rates is determined according to the throughput model.

[0215] When the processor 701 is used to run the computer program, it further executes: determining the terminal association corresponding to the maximum value of the second model under the second constraint condition that the relevant parameters of the wireless node 2 and the wireless backhaul bandwidth resources are satisfied;

[0216] Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model;

[0217] updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined;

[0218] The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

[0219] It can be understood that the memory 702 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a magnetic random access memory (FRAM), a flash memory, a magnetic surface memory, an optical disk, or a compact disc read-only memory (CD-ROM); the magnetic surface memory can be a disk memory or a tape memory. The volatile memory can be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM, SyncLink Dynamic Random Access Memory), and direct RAM bus random access memory (DRRAM, Direct Rambus Random Access Memory).The memory 702 described in the embodiments of the present invention is intended to include, but is not limited to, these and any other suitable types of memories.

[0220] The memory 702 in the embodiment of the present invention is used to store various types of data to support the operation of the data processing device 700. Examples of these data include: any computer program used to operate on the data processing device 700, such as an operating system 7021 and an application 7022. Among them, the operating system 7021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., which are used to implement various basic services and process hardware-based tasks. The application 7022 can include various applications, and the program that implements the method of the embodiment of the present invention is also included in the application 7022.

[0221] An embodiment of the present invention further provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program executes:

[0222] Acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node;

[0223] Determine a downlink baseband rate of an access link and a downlink baseband rate of a backhaul link based on the wireless node information and the terminal information; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node;

[0224] Based on the downlink baseband rate of the access link and the downlink baseband rate of the backhaul link, wireless backhaul bandwidth resources and terminal association are determined according to a first model; the terminal association is an association relationship between the terminal and the wireless node.

[0225] In one embodiment, when the computer program is executed by a processor, the computer program further performs: determining, based on the wireless node information and the terminal information, an access link gain for the wireless node and a backhaul link gain between the first wireless node and the second wireless node;

[0226] Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information;

[0227] Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, determine the first downlink baseband rate between the wireless node 2 and the terminal, the second downlink baseband rate between the first wireless node and the terminal, and the third downlink baseband rate between the first wireless node and the second wireless node.

[0228] In one embodiment, when the computer program is executed by the processor, the computer program further executes: obtaining a maximum value of a throughput model of a sum of logarithmic rates representing the throughput of the access link under a first constraint condition that satisfies the relevant parameters of the second wireless node and the wireless backhaul bandwidth resource;

[0229] The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

[0230] In one embodiment, when the computer program is executed by the processor, the computer program further executes: obtaining, based on the first model, a second model representing the sum of throughputs generated by the communication between the wireless node and the terminal, and a third model representing the sum of throughputs of the access link, under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied;

[0231] Determining terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge;

[0232] Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of a sum of a throughput logarithmic rate of the access link is determined according to the throughput model.

[0233] In one embodiment, the computer program is executed by a processor to further perform: determining a terminal association corresponding to a maximum value of the second model under a second constraint condition consisting of relevant parameters of the wireless node 2 and the wireless backhaul bandwidth resource;

[0234] Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model;

[0235] updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined;

[0236] The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

[0237] Those skilled in the art will appreciate that all or part of the steps of implementing the above method embodiments may be accomplished by hardware associated with program instructions, and the aforementioned program may be stored in a computer-readable storage medium, which, when executed, executes the steps of the above method embodiments; and the aforementioned storage medium includes various media that can store program codes, such as mobile storage devices, RAM, ROM, magnetic disks or optical disks.

[0238] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, RAM, ROM, magnetic disks or optical disks.

[0239] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for terminal association and wireless backhaul bandwidth resource allocation, characterized in that: The method comprises: Acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node, wherein the wireless node information includes location information and configuration information of the wireless node, and the terminal information includes location information of the terminal; Determine, based on the wireless node information and the terminal information, a downlink capacity of an access link and a downlink capacity of a backhaul link; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node; Based on the downlink capacity of the access link and the downlink capacity of the backhaul link, determine the wireless backhaul bandwidth resources and the terminal association according to the first model; the terminal association is the association relationship between the terminal and the wireless node; the first model is the maximum value of the throughput model representing the sum of the logarithmic rates of the system access links; The determining, based on the wireless node information and the terminal information, a downlink capacity of an access link and a downlink capacity of a backhaul link includes: Determine, based on the wireless node information and the terminal information, an access link gain between the terminal and the wireless node, and a backhaul link gain between the first wireless node and the second wireless node; Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information; Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node are determined.

2. The method according to claim 1, characterized in that: The determining of wireless backhaul bandwidth resources and terminal association according to a first model based on the downlink capacity of the access link and the downlink capacity of the backhaul link includes: Under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied, obtaining a maximum value of a throughput model representing the sum of terminal logarithmic rates of all access links; The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

3. The method according to claim 2, characterized in that The obtaining of the maximum value of the throughput model representing the sum of the logarithmic rates of the access link and the backhaul link includes: Under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resource are satisfied, based on the first model, a second model characterizing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal and a third model characterizing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal are obtained when the wireless backhaul bandwidth resource is zero; the third model only includes wireless backhaul bandwidth resource variables; Determining terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge; Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of a sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal is determined according to the throughput model.

4. The method according to claim 3, characterized in that: The determining of terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge includes: Determine the terminal association corresponding to the maximum value of the second model under the second constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied; Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model; updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined; The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

5. A terminal association and wireless backhaul bandwidth resource allocation device, characterized in that: include: An acquisition module, a first determination module and a second determination module; wherein, The acquisition module is used to acquire wireless node information and terminal information; the wireless node includes a first wireless node and a second wireless node, wherein the wireless node information includes location information and configuration information of the wireless node, and the terminal information includes location information of the terminal; The first determination module is used to determine the downlink capacity of the access link and the downlink capacity of the backhaul link based on the wireless node information and the terminal information; the access link is a link between the wireless node and the terminal, and the backhaul link is a link between the first wireless node and the second wireless node; The second determination module is used to determine the wireless backhaul bandwidth resources and the terminal association according to the first model based on the downlink capacity of the access link and the downlink capacity of the backhaul link; the terminal association is the association relationship between the terminal and the wireless node; the first model is the maximum value of the throughput model that characterizes the sum of the logarithmic rates of the system access links; The first determining module is specifically configured to: Determine, based on the wireless node information and the terminal information, an access link gain between the terminal and the wireless node, and a backhaul link gain between the first wireless node and the second wireless node; Determine an access link signal-to-noise ratio and a backhaul link signal-to-noise ratio based on the access link gain, the backhaul link gain, the wireless node information, and the terminal information; Based on the access link signal-to-noise ratio and the backhaul link signal-to-noise ratio, a first downlink baseband rate between the second wireless node and the terminal, a second downlink baseband rate between the first wireless node and the terminal, and a third downlink baseband rate between the first wireless node and the second wireless node are determined.

6. The device according to claim 5, characterized in that The second determination module is specifically configured to obtain a maximum value of a throughput model representing the sum of terminal logarithmic rates of all access links under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied; The wireless backhaul bandwidth resources and terminal association corresponding to the maximum value of the throughput model are obtained.

7. The device according to claim 6, characterized in that The second determination module is specifically configured to obtain, based on the first model, a second model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal when the wireless backhaul bandwidth resource is zero, and a third model representing the sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal, under the first constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resource are satisfied; the third model only includes a wireless backhaul bandwidth resource variable; Determining terminal association and wireless backhaul bandwidth resources when both the second model and the third model converge; Based on the determined terminal association and wireless backhaul bandwidth resources, a maximum value of a sum of downlink logarithmic rates generated by the communication between the wireless node and the terminal is determined according to the throughput model.

8. The device according to claim 7, characterized in that The second determination module is specifically configured to determine the terminal association corresponding to the maximum value of the second model under the second constraint condition that the relevant parameters of the second wireless node and the wireless backhaul bandwidth resources are satisfied; Determining wireless backhaul bandwidth resources based on the terminal association corresponding to the maximum value of the second model and the third model; updating the terminal association based on the determined wireless backhaul bandwidth resources and the second model until the terminal association corresponding to the convergence of the second model and the wireless backhaul bandwidth resources corresponding to the convergence of the third model are determined; The terminal association corresponding to the convergence of the second model is used as the updated terminal association, and the wireless backhaul bandwidth resource corresponding to the convergence of the third model is used as the updated wireless backhaul bandwidth resource.

9. A terminal association and wireless backhaul bandwidth resource allocation device, characterized in that: include: a processor and a memory for storing a computer program capable of being executed on said processor, Wherein, when the processor is used to run the computer program, it executes the steps of the method described in any one of claims 1 to 4.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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