Base station power adjustment method, electronic equipment and storage medium

Abstract

The invention provides a base station power adjustment method, electronic equipment and a storage medium, which are applied to a same-frequency simultaneous full duplex CCFD communication network. The method comprises the following steps: determining an initial CCFD interference parameter and an initial user perception parameter of each base station in the communication network based on base station measurement data of the communication network; and under the constraint of the CCFD dimension condition and the user perception dimension condition, optimizing the base station efficiency of the communication network based on the initial CCFD interference parameter and the initial user perception parameter of each base station in the communication network to obtain the target power configuration of each base station in the communication network. And determining a base station power adjustment strategy of the base station group based on the target power configuration of each base station, so as to adjust the power of a part of base stations in the communication network according to the base station power adjustment strategy. According to the method and the device, the base station efficiency of the communication network can be optimized under the condition of ensuring the CCFD communication quality and the user perception quality so as to determine the relatively optimal base station power configuration of the communication network.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a base station power adjustment method, electronic equipment and storage medium. Background Art

[0002] Based on the co-frequency co-time full duplex (CCFD) technology, communication devices can use the same time and frequency to send and receive wireless signals, so that the spectrum efficiency of the wireless communication link is improved. As one of the key technologies to improve spectrum efficiency, CCFD also has some problems that need to be overcome. For example, when sending and receiving at the same frequency, the transmitter's transmission signal will interfere with the local receiver. Therefore, eliminating this interference is the key to ensuring the communication quality of CCFD.

[0003] In recent years, with the introduction of the CCFD concept, communication networks have gradually adopted a networking method that overlaps traditional macro base stations and CCFD base stations. However, macro base stations and CCFD base stations use different resource allocation methods. When optimizing the base station performance of the communication network, if the traditional power allocation strategy for macro base stations is used, the communication quality of CCFD base stations cannot be guaranteed. Summary of the invention

[0004] The purpose of this application is to provide a base station power adjustment method, electronic device and storage medium, which can optimize the base station performance of the communication network and determine the relatively optimal base station power configuration of the communication network while ensuring CCFD communication quality and user perception quality.

[0005] In order to achieve the above purpose, the embodiment of the present application is implemented as follows:

[0006] In a first aspect, a base station power adjustment method is provided, which is applied to a communication network of simultaneous full-duplex CCFD at the same frequency, including:

[0007] Determining initial CCFD interference parameters and initial user perception parameters of each base station in the communication network based on base station measurement data of the communication network;

[0008] Under the constraints of CCFD dimension conditions and user perception dimension conditions, the base station performance of the communication network is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to obtain the target power configuration of each base station in the communication network;

[0009] A base station power adjustment strategy of the communication network is determined based on the target power configuration of each base station, so as to perform power adjustment on at least part of the base stations in the communication network according to the base station power adjustment strategy.

[0010] In a second aspect, an embodiment of the present application provides an electronic device, comprising: a processor; and a memory configured to store computer-executable instructions, wherein the computer-executable instructions, when executed, cause the processor to execute the method described in the first aspect.

[0011] According to a third aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium is used to store computer-executable instructions, and the computer-executable instructions implement the method described in the first aspect when executed by a processor.

[0012] When optimizing the base station performance of a communication network, the present application first performs base station measurements on the communication network to obtain the current initial CCFD interference parameters and initial user perception parameters of each base station. Afterwards, based on the initial CCFD interference parameters and initial user perception parameters of each base station, the base station performance of the communication network is optimized under the constraints of CCFD dimensional conditions and user perception dimensional conditions, so as to obtain the optimal or near-optimal solution for the power configuration of each base station while taking into account a better user experience and lower CCFD interference, thereby guiding the adjustment of base station power in the communication network. The solution of the present application is applicable to network environments with very complex interference channels, such as co-networking of traditional macro stations and CCFD base stations, and collaborative networking between CCFD base stations, and can effectively improve the energy utilization of communication networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0014] Figure 1 A first flow chart of a base station power adjustment method provided in an embodiment of the present application.

[0015] Figure 2 A second flow chart of the base station power adjustment method provided in an embodiment of the present application.

[0016] Figure 3 A third flow chart of the base station power adjustment method provided in an embodiment of the present application.

[0017] Figure 4 A fourth flow chart of the base station power adjustment method provided in an embodiment of the present application.

[0018] Figure 5 A fifth flow chart of the base station power adjustment method provided in an embodiment of the present application.

[0019] Figure 6 A schematic diagram of the structure of a base station power adjustment device provided in an embodiment of the present application.

[0020] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] As mentioned above, with the introduction of the CCFD concept, existing communication networks have gradually adopted a networking method that overlaps traditional macro base stations with CCFD base stations. Unlike macro base stations, CCFD base stations can use the same time and frequency to transmit and receive wireless signals, so the resource allocation method is very different, which makes the channel interference of the communication network very complicated. When optimizing the base station performance of the communication network, if the traditional power allocation strategy for macro base stations is adopted, the communication quality of CCFD base stations cannot be guaranteed.

[0022] In view of this, the present application aims to propose a base station power adjustment scheme that can optimize the base station performance of the communication network while ensuring CCFD communication quality and user perceived quality, thereby adjusting it according to the relatively optimal base station power configuration.

[0023] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0024] For the communication network of the same frequency and full-duplex CCFD, such as the networking of traditional macro base stations and CCFD stations, and the collaborative networking between CCFD stations, an embodiment of the present application provides a base station power adjustment method. Figure 1 This is a schematic diagram of the flow of power adjustment of the base station, which specifically includes the following steps:

[0025] S102, determining an initial CCFD interference parameter and an initial user perception parameter of each base station in the communication network based on base station measurement data of the communication network.

[0026] In this embodiment, the base station measurement data reflects the base station operation status of the communication network, and can be collected through channel correlation measurement, scheduling strategy reporting, user measurement reporting, and other means.

[0027] The CCFD interference parameters reflect the level of CCFD interference, which may include: cross-link interference (CrossLink Interference, CLI) and self-interference (Self Interference, SI) of the base station; the initial CCFD interference parameters described in this embodiment refer to the CCFD interference parameters corresponding to the communication network under the current base station power configuration.

[0028] The user perception parameters reflect the level of user perception, and may include: user signal to interference plus noise ratio (SINR), frequency scheduling order and user-level rate adopted by base station modulation and coding strategy (MCS). Similarly, the initial user perception parameters described in this embodiment refer to the user perception parameters corresponding to the communication network under the current base station power configuration.

[0029] S104, under the constraints of CCFD dimension conditions and user perception dimension conditions, the base station performance of the communication network is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to obtain the target power configuration of each base station in the communication network.

[0030] In this embodiment, the CCFD dimension condition refers to the restrictions on CCFD interference parameters proposed under the condition of ensuring the normal operation of the communication network services; for example, the cross-link interference and self-interference of the base station must be lower than a certain level. Similarly, the user perception dimension condition refers to the restrictions on user perception parameters proposed under the condition of ensuring the normal operation of the communication network services; for example, the user-level rate must at least reach a certain level.

[0031] Specifically, a quantitative relationship between CCFD interference parameters, user perception parameters and base station performance of the communication network can be constructed, and with CCFD dimension requirements and user perception dimension requirements as constraints, the base station performance of the communication network can be iteratively optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to determine the target power configuration of each base station when the communication network achieves the relatively optimal base station performance.

[0032] The iteration principle is to determine the current initial base station performance of the base station according to the current initial base station power configuration of the communication network, combined with the initial CCFD interference parameters and the initial user perception parameters; then, under the constraints of the CCFD interference parameters and the user perception parameters, try to adjust some base station configurations in the communication network. If the performance of the adjusted base station is improved, the base station configuration is used to enter the next round of iteration, and continue to try to adjust the base station configuration; by continuously iterating in this way, the performance of the base stations in the communication network can be optimized.

[0033] As an exemplary introduction, this embodiment may introduce adjustment of the channel relationship between the base station and the user (ie, the base station configuration) during the iteration process to improve the base station performance of the communication network.

[0034] That is, under the constraints of CCFD dimensional conditions and user perception dimensional conditions, the channel relationship between each base station and the user is first optimized for multiple rounds of iterations according to the initial CCFD interference parameters and initial user perception parameters of the base station (the channel relationship between the base station and the user is coupled with the CCFD interference parameters and user perception parameters of the base station) to determine the target user association corresponding to each base station when the relatively optimal channel relationship is achieved.

[0035] Next, given the target user association of each base station, the power configuration of each base station is optimized with the maximization of the base station efficiency of the communication network as the gradient, and the target power configuration of each base station after optimization is determined. For example, a search optimization algorithm is used, the power configuration of each base station is used as the search position of the search optimization algorithm, and the number of in-service users of each base station is used as the search space of the search optimization algorithm. The gradient direction of maximizing the base station efficiency of the communication network is determined through a pre-set fitness function (in the fitness function, the search position is coupled with the base station efficiency of the communication network), and the power configuration of each base station is searched and optimized for multiple rounds of iterations according to the gradient direction, so that the target power configuration of each base station can be determined.

[0036] S106: Determine a base station power adjustment strategy of the communication network based on the target power configuration of each base station, so as to adjust the power of at least part of the base stations in the communication network according to the base station power adjustment strategy.

[0037] Generally, the quota of the total base station power of the communication network is fixed. In order to prevent the adjusted total base station power from exceeding the quota, this embodiment may use power migration between base stations to perform scalability adjustment.

[0038] That is, a group of base stations in an energy efficiency cooperative relationship in the communication network is determined in advance, wherein the energy efficiency cooperative relationship refers to a relationship between base stations that can perform power scheduling with each other, which is a priori knowledge in this embodiment.

[0039] Then, according to the initial power configuration and target power configuration of each base station in the base station group, the base station group is divided into a disturbing base station set and a disturbed base station set. The disturbing base station is the base station to be transferred out of power, and the disturbed base station is the base station to be transferred in power; if the target power configuration of a base station is greater than the initial power configuration, it means that the current power configuration of the base station needs to be increased, so it is classified as a disturbed base station; conversely, if the target power configuration of a base station is less than the initial power configuration, it means that the current power configuration of the base station needs to be reduced, so it is classified as a disturbing base station.

[0040] Next, the preference between the interfering base station in the interfering base station set and the disturbed base station in the disturbed base station set is determined according to the association coefficient and transferable power between the interfering base station and the disturbed base station. Among them, the association coefficient between the base stations is pre-set, for example, the association coefficient between the base stations of the same service type and the same channel type is set to a higher level, and the association coefficient between the base stations of different service types and different channel types is set to a lower level; the transferable power is the smallest one selected from the transferable power of the interfering base station (the difference between the initial power configuration and the target power configuration) and the transferable power of the disturbed base station (the difference between the target power configuration and the initial power configuration). For example, the transferable power of the interfering base station is 60 watts, and the transferable power of the disturbed base station is 50 watts, then the transferable power between the interfering base station and the disturbed base station is 50 watts. In this implementation, the higher the association coefficient and transferable power between the interfering base station and the disturbed base station, the higher the corresponding preference; conversely, the lower the association coefficient and transferable power, the lower the corresponding preference.

[0041] Afterwards, the target interfering base station and the target disturbed base station whose preference reaches the preset standard (the preference reaches a certain threshold requirement) are selected from the interfering base station set and the disturbed base station set, and a power adjustment strategy for transferring part of the power of the target interfering base station to the target disturbed base station is determined. For example, if the target interfering base station can transfer out power of 100 watts and the target disturbed base station can transfer in power of 50 watts, then a power adjustment strategy for transferring 50 watts of the target interfering base station to the target disturbed base station can be determined; for another example, if the target interfering base station can transfer out power of 60 watts and the target disturbed base station can transfer in power of 100 watts, then a power adjustment strategy for transferring 60 watts of the target interfering base station to the target disturbed base station can be determined.

[0042] Based on the above content, it can be known that when the method of this embodiment optimizes the base station performance of the communication network, it first measures the base stations of the communication network to obtain the current initial CCFD interference parameters and initial user perception parameters of each base station. Afterwards, based on the initial CCFD interference parameters and initial user perception parameters of each base station, the base station performance of the communication network is optimized under the constraints of CCFD dimensional conditions and user perception dimensional conditions, so as to obtain the optimal or near-optimal solution for the power configuration of each base station while taking into account better user experience and lower CCFD interference, thereby guiding the adjustment of base station power in the communication network. The method of this embodiment is applicable to network environments with very complex interference channels such as traditional macro stations and CCFD base stations co-networking and CCFD base stations collaborative networking, and can effectively improve the energy utilization of communication networks.

[0043] The base station power adjustment method of this embodiment is described in detail below.

[0044] Compared with traditional macro base stations, CCFD base stations use flexible frame structure technology and can dynamically adjust power configuration according to changes in service load. To this end, this embodiment uses each service in the communication network as the granularity to optimize the base station performance of the communication network.

[0045] It should be noted that different business scenarios correspond to different user perception dimension conditions.

[0046] As an example, the services of the communication network can be divided into three types according to their characteristics: service scenario A (low latency), service scenario B (large downlink service), and service scenario C (large uplink service). Among them, service scenario A needs to give priority to latency, so it has a high requirement for the user signal-to-noise ratio, but the user-level rate only needs to reach the minimum threshold; while service scenarios B and C need to ensure the optimal channel quality and take into account the smooth switching of services, so they have high requirements for the user signal-to-noise ratio and frequency scheduling order.

[0047] This embodiment takes the target service scenario as an example (the target service scenario can be any of service scenarios A, B, and C), and optimizes the base station performance of the communication network according to the restrictions on user perception parameters and general CCFD interference parameters of the target service.

[0048] Specifically, assume that there are m∈{1,2,3,…,M+1} base stations in the communication network, where user j∈{1,2,3,…,N},

[0049] +1 <N,x jm Represents the access relationship between user j and base station m.

[0050] According to the asymmetric characteristics of CCFD base stations in uplink and downlink, the following definitions are made:

[0051] The user signal-to-noise ratio SINR formula is defined as:

[0052]

[0053] Among them, γ jm is the signal-to-noise ratio between user j and base station m, P jm is the transmission power of base station m to user j, h jm is the channel gain between user j and base station m, is the transmission power of other base stations to user j, is the interference channel gain of other base stations, δ 2 is additive white Gaussian noise. is the cross-layer co-frequency cross-link interference of other base stations, expressed as is the internal self-interference of base station m, expressed as Sic jm .

[0054] The actual user-level rate of user j associated with base station m is defined as:

[0055] τ jm =Wlog2(1+γ jm ) (Formula 2)

[0056] The base station energy efficiency of the communication network is defined as:

[0057]

[0058] in, The overall base station energy efficiency of the communication network, is the transmission power of base station m, is the transmission power amplification factor of the base station, Circuit energy efficiency of the base station.

[0059] Considering the constraints of CCFD dimensional conditions and user perception dimensional conditions, maximizing the base station energy efficiency of the communication network is defined as the target problem P1, then:

[0060]

[0061] Where X = [x jm ],P=[P jm ], C1 and C2 are constraints on user-base station association, C3 is the constraint on user perceived rate, C4 is the CLI interference constraint, C5 is the SI interference constraint, and C6 is the constraint on base station transmit power.

[0062] Due to the nonlinear characteristics of P1 and the randomness of network eigenvalues, the solution process is very complicated. Therefore, this embodiment splits P1 into three sub-problem models, namely, user association model, network power consumption retrieval model and energy efficiency matching cooperation model.

[0063] Among them, the user association model is used to reshape the connection relationship between users of each base station in the communication network to determine the target user association corresponding to each base station when the relatively optimal channel relationship is achieved; the network power consumption search is used to perform multiple rounds of iterative search optimization on the power configuration of each base station according to the target user association provided by the user association model to determine the relatively optimal target power configuration of each base station. The energy efficiency collaboration model is used to determine the power adjustment strategy of transferring part of the power of the interfering base station to the interfered base station according to the relatively optimal target power configuration of each base station.

[0064] Based on the model configuration of the above three sub-problems, the overall process of this embodiment is as follows: Figure 2 As shown, the following steps are included:

[0065] S21, under the current initial power configuration of each base station in the communication network, the status of the target service of each base station in the communication network is measured through existing channel correlation measurement, scheduling strategy reporting, user measurement reporting and other measurement methods, and the base station measurement data corresponding to the target service of the communication network is obtained.

[0066] S22, setting the convergence condition of the base station energy efficiency of the communication network and the number of iterative optimization rounds according to the network scale of the communication network and the performance requirements of the target service.

[0067] It should be understood that the iterative optimization process may end when the base station energy efficiency of the communication network reaches a convergence condition or when the number of iterative rounds is completed.

[0068] S23, determining the target user association degree corresponding to each base station when a relatively optimal channel relationship is achieved based on the user association degree model.

[0069] Specifically, the execution process of the user association model is as follows: Figure 3 As shown:

[0070] Firstly, the current power configuration of each base station in the communication network and the base station groups in the communication network that belong to the energy efficiency cooperation relationship are given.

[0071] Next, enter the iterative process:

[0072] Under the constraints of CCFD dimension conditions and user perception dimension conditions, the user association corresponding to each base station in the base station group under the current user connection relationship is calculated according to the power configuration, CCFD interference parameters and user perception parameters of each base station in the base station group in the current iteration. Among them, in the first round of iteration, the power configuration of each base station adopts the initial power configuration described above, the CCFD interference parameters of each base station adopt the initial CCFD interference parameters described above, and the user perception parameters of each base station adopt the initial user perception parameters described above.

[0073] The CCFD interference parameters and user perception parameters are changed to reshape the user connection relationship of each base station in the base station group to update the user association degree of each base station in the base station group.

[0074] If the user association degree of each base station in the updated base station group is improved (not converged yet), the next round of iteration is entered; otherwise, the iteration process ends and the user association degree of each base station in the base station group determined by this round of iteration is output.

[0075] Among them, the calculation principle of the user association model is as follows:

[0076] Define the sub-problem P2 of the user relevance model;

[0077] P2:maxEE(X)

[0078] st1,C2,C3,C4,C5 (Formula 5)

[0079] For continuous convex optimization problems, the Lagrange dual method is used to solve them. The Lagrange multiplier γ is introduced. j and θ m (i.e., correlation factor), convert the inequality constraint into an equality constraint. The converted formula is as follows:

[0080]

[0081] Defining the optimal user association EE jm Function, used to calculate the channel association between user j and each base station m, according to user Sinr jm ,cs jm and Cli jm ,ic jm Calculate and solve the relatively optimal channel relationship (Mcs jm With Sinr jm Equivalent), the reshaped optimization problem can be expressed as the following formula:

[0082]

[0083] During the iteration process, the user association function EE of each base station is first calculated according to formula 7 jm , select the maximum user association. Secondly, according to the minimum user perception constraint and base station transmission power constraint and gradient descent requirements, determine the previous and next iterations of the Lagrange multiplier γ j and θ m Update the relationship, as follows:

[0084]

[0085]

[0086] Among them, δ(t) is the iteration step, which is set according to the computing power, and t is the number of iterations. After the update is completed, if the user association degree of the previous and next iterations is the same, that is, x jm (t+1)= jm (t) End the iteration, otherwise calculate the iteration calculation.

[0087] It should be noted that the channel relationship reshaped by formulas 6 and 7 can be adapted according to the target business scenario. Business scenario A prioritizes latency, so τ jm It only requires that the minimum threshold be met, but for Sinr jm The requirements are high, so γ j The initial value is small, θ mThe initial value is large. In business scenarios B and C, in order to ensure the best channel quality and take into account smooth business switching, Sinr jm 、Mcs jm The requirements are high, so γ j ,θ m The initial values ​​are all large.

[0088] It can be seen that the above iterative process reorganizes the uplink and downlink channel relationship according to the channel relationship between the user and other base stations, breaking the constraint of transmitting the unique uplink and downlink relationship between the user and the base station, which is more suitable for CCFD. The final iteration can solve the user association degree m under the relatively optimal channel relationship of the base station * .

[0089] S24, performing multiple rounds of iterative search optimization on the power configuration of each base station based on the network power consumption retrieval model to determine the relatively optimal target power configuration of each base station.

[0090] The search optimization in this embodiment specifically adopts a particle swarm optimization algorithm.

[0091] The main parameters of the particle swarm optimization algorithm include: group size m, inertia weight w, acceleration constants c1 and c2, maximum speed Vmax, and maximum number of iterations Gmax.

[0092] The particle swarm optimization algorithm stipulates that each particle has a position and a velocity, which represent the position and the moving direction of the search unit in the multidimensional space. Among them, Vmax determines the resolution (or accuracy) of the area between the current position and the best position. The inertia weight w keeps the particles inertia, so that they tend to expand the search space and have the ability to explore new areas. The acceleration constants c1 and c2 represent the weights of the statistical acceleration terms that push each particle to the pbest and gbest positions.

[0093] The standard calculation process of the particle swarm optimization algorithm is as follows:

[0094] Initialize a group of particles (group size is m), including random positions and velocities;

[0095] Evaluate the fitness of each particle;

[0096] For each particle, compare its fitness value with the best position pbest it has ever experienced. If it is better, use it as the current best position pbest;

[0097] For each particle, compare its fitness value with the best position gbest experienced globally. If it is better, reset the index number of gbest.

[0098] If the fitness value of the particle reaches a certain level or the maximum number of iterations is reached, the iteration ends; otherwise, the speed and position of the particle are updated to enter the next round of iteration.

[0099] According to the principle of the above-mentioned particle swarm optimization algorithm, this embodiment uses the power configuration of each base station as the search position (particle position), the number of in-service users of each base station as the search space, and the normalized channel quality and interference constraints as weights. Through a pre-set fitness function (in the fitness function, the search position is coupled with the base station performance of the communication network), the power configuration of each base station is searched and optimized for multiple rounds in an iterative manner in the gradient direction of maximizing the base station performance of the communication network, and the optimal solution set of the power allocation of each base station, that is, the target power configuration, can be calculated.

[0100] Correspondingly, the execution process of the network power consumption retrieval model is as follows: Figure 4 As shown, the following steps are included:

[0101] Firstly, a base station group in an energy efficiency cooperative relationship in a given communication network and a target user association degree of each base station in the base station group are given.

[0102] Afterwards, the search factor is initialized, that is, the power configuration of each base station is used as the search position of the search optimization algorithm, and the number of in-service users of each base station is used as the search space of the search optimization algorithm; and the global and local optimal solution sets and fitness functions are defined according to the target user association of each base station in the base station group.

[0103] Next, enter the iterative process:

[0104] Determine whether the maximum number of iterations has been reached in this round of iterations; if reached, output the global optimal solution determined by this round of iterations and end the iteration process; if not reached, continue to execute:

[0105] Update the weights (channel quality and interference constraints) and calculate the global optimal particle position. In order to avoid falling into the problem of local optimal solution set and low precision of high-dimensional nonlinearity, the first half of the iteration rounds use global search to calculate the particle position, and the second half of the iteration rounds use local search to calculate the particle position.

[0106] Substitute the search position of this iteration into the fitness function and calculate the current fitness of this iteration.

[0107] Update the particle speed and position, calculate the fitness of each particle, and determine the global and local optimal solutions for this round of iteration.

[0108] Among them, the calculation principle of the network power consumption retrieval model is as follows:

[0109] Define subproblem P3 of network power consumption retrieval model;

[0110] P3:maxEE(P)

[0111] stC4,C5,C6 (Formula 8)

[0112] Based on the particle swarm optimization algorithm, the particle x id Defined as a set of feasible solutions P for variables P in the optimization problem * , define the fitness function as the base station efficiency EE(P) of the communication network, locate the number of users in the spatial dimension, and define the global optimal position gBest id and the local optimal position pBest id The particle position and velocity are continuously updated according to the global optimal solution and the local optimal solution. The specific formula is as follows:

[0113] v id (t+1)=wv id (t)+c1rand(pBest id (t)-x id (t))+c2rand(gBest id (t)-x id (t))

[0114] (Formula 9)

[0115] x id (t+1)=v id (t+1)+x id (t) (Formula 10)

[0116] Among them, c1 and c2 are particle swarm learning factors, which are determined according to the network scale and optimization depth. Ordinary networking scenarios can be set to larger values ​​to enhance global search capabilities, and ultra-dense networking scenarios can be set to smaller values ​​to improve local traversal capabilities and accurately calculate local optimal solutions. In addition, the weight w is adjusted according to the retrieval speed, and the search particle speed can be set according to the service switching requirements. The service scenario A prioritizes latency and the weight w can be set to a larger value. The service scenarios B and C prioritize user perception and take into account smooth service switching, so the weight w can be set to a smaller value. In addition, in order to prevent the iterative solution process from falling into the local optimal solution set and the problem of low precision of high-dimensional nonlinearity, the optimization solution process is divided into the first half of the global search and the second half of the local search. The two stages adopt a dynamic weight strategy to improve the retrieval capability. Among them, in order to ensure the optimal channel quality and take into account smooth service switching, the number of iterations in the first half of the service scenarios B and C can be appropriately less than the number of iterations in the second half, and the search will focus on local search.

[0117] During the iteration process, the global optimal position gBest is initialized according to the given initial base station power. idand the local optimal position pBest id . After that, c1, c2, and w are set according to the network size and optimization depth. Among them, the weight w can be set according to the search speed and the number of iterations. The formula is as follows:

[0118]

[0119] Among them, t is the current iteration number, T max is the maximum number of iterations, and J is the number of iterations of the front and back segments.

[0120] It should be understood that pBest can be calculated according to formula 10, 10-1 id , find the maximum EE(P) as gBest id . Then, according to pBest id ,gBest id Update the particle position and velocity, and enter the next round of iterative calculation until the iteration ends.

[0121] The network power consumption retrieval model of this embodiment can quickly and efficiently traverse the user channel relationship base station m * There are adjacent base stations that can release energy efficiency resources. The traversal process takes into account Cli jm ,Sic jm Interference constraints will therefore not affect user perception, and will significantly improve both Sinr and Mcs.

[0122] S25, based on the energy efficiency matching cooperation model, determine a power adjustment strategy for transferring part of the power of the interfering base station to the interfered base station.

[0123] Specifically, the execution process of the user association model is as follows: Figure 5 As shown, the following steps are included:

[0124] Firstly, given a group of base stations in an energy efficiency cooperation relationship in a communication network, the base station group is divided into a disturbed base station set and an interfering base station set.

[0125] Next, according to a preset preference function, the preference between the interfering base stations in the interfering base station set and the disturbed base stations in the disturbed base station set is determined, and the base stations are sorted from high to low according to the preference.

[0126] Afterwards, according to the preference ranking, a target interfering base station and a target interfered base station are extracted from the interfering base station set and the interfered base station set, and a power adjustment strategy for transferring part of the power of the target interfering base station to the target interfered base station is determined.

[0127] Then, it is determined whether the disturbing base station set and the disturbed base station set are empty; if yes, the process ends; if not, new target disturbing base stations and target disturbed base stations are continuously extracted from the disturbing base station set and the disturbed base station set to determine a power adjustment strategy.

[0128] Among them, the calculation principle of the energy efficiency matching collaboration model is as follows:

[0129] Given the base station power configuration, user associated base station m * , Base station power consumption search results P * Under this relationship, the base station energy efficiency adjustment problem of the communication network is defined as P4;

[0130] P4:maxEE(G)

[0131] stC3,C4,C5,C6 (Formula 11)

[0132] The base stations in the energy efficiency cooperation relationship are divided into the interfered base station set Interfering base station set A is established based on channel relevance and business model (user perception dimension condition of target business). - and A + The preference function between :

[0133] P(A + ,A - )=αP mm |m - ∈A - (Formula 12)

[0134] Among them, α represents the correlation coefficient between the disturbed and interfering base stations, P mm Indicates the maximum power that can be transmitted between base stations.

[0135] The base stations in the disturbed base station set and the disturbing base station set are sorted according to the preference function. The disturbing base station completes the energy efficiency transmission to the disturbed base station according to the preference. The energy efficiency transmission process requires the disturbing base station to reduce the output power of the base station and the disturbed base station to increase the output power of the base station. After the transmission is completed, it is removed from the current set until both sets are empty and the energy efficiency matching allocation is completed, thereby obtaining the power allocation adjustment strategy of each base station.

[0136] S26, determine whether the base station energy efficiency of the communication network meets the convergence conditions and the number of iterative optimization rounds; if yes, execute S27; if not, return to step 23.

[0137] S27, output the final power adjustment strategy,

[0138] In summary, this embodiment defines three models: user association, network power consumption search, and energy efficiency collaboration. It models the optimal solution set problem based on user perception and system energy efficiency, and expresses it as a multi-constrained non-convex optimization problem. Substitute channel correlation, scheduling strategy, and user measurement into the model adaptive training, iteratively solve the optimization problem solution set to obtain the adjustment range of network-related parameters. In addition, the multi-constrained non-convex optimization problem is decomposed into three corresponding model non-convex optimization sub-problems, thereby reducing the complexity of problem iteration and improving feasibility.

[0139] Corresponds to Figure 1 The base station power adjustment method shown, another embodiment of the present application also provides a base station power adjustment device for a communication network applied to CCFD. Figure 6 is a schematic diagram of the structure of a base station power adjustment device 600, comprising:

[0140] The testing module 610 is used to determine the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network based on the base station measurement data of the communication network.

[0141] The optimization module 620 is used to optimize the base station performance of the communication network based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network under the constraints of CCFD dimensional conditions and user perception dimensional conditions, and obtain the target power configuration of each base station in the communication network.

[0142] The adjustment module 630 is used to determine the base station power adjustment strategy of the communication network based on the target power configuration of each base station, so as to adjust the power of at least part of the base stations in the communication network according to the base station power adjustment strategy.

[0143] When optimizing the base station performance of the communication network, the device of this embodiment first performs base station measurements on the communication network to obtain the current initial CCFD interference parameters and initial user perception parameters of each base station. Afterwards, based on the initial CCFD interference parameters and initial user perception parameters of each base station, the base station performance of the communication network is optimized under the constraints of CCFD dimensional conditions and user perception dimensional conditions, so as to obtain the optimal or near-optimal solution for the power configuration of each base station while taking into account a good user experience and lower CCFD interference, thereby guiding the adjustment of the base station power of the communication network. The device of this embodiment is suitable for network environments with very complex interference channels, such as traditional macro stations and CCFD base stations co-networking, and CCFD base stations collaborative networking, and can effectively improve the energy utilization of the communication network.

[0144] Optionally, the optimization module 620 optimizes the base station performance of the communication network based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network under the constraints of CCFD dimension conditions and user perception dimension conditions, and obtains the target power configuration of each base station in the communication network, including: optimizing the channel relationship between each base station and the user based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network under the constraints of CCFD dimension conditions and user perception dimension conditions, and determining the target user association of each base station; given the target user association of each base station, optimizing the power configuration of each base station with maximizing the base station performance of the communication network as the gradient, and determining the target power configuration of each base station.

[0145] Among them, the optimization module 620 optimizes the power configuration of each base station with the maximization of the base station efficiency of the communication network as the gradient given the target user association degree of each base station, and determines the target power configuration of each base station, including: given the target user association degree of each base station, using the power configuration of each base station as the search position of the search optimization algorithm, using the number of in-service users of each base station as the search space of the search optimization algorithm, through a pre-set fitness function, according to the gradient direction of maximizing the base station efficiency of the communication network, performing multiple rounds of iterative search optimization on the power configuration of each base station, and determining the target power configuration of each base station.

[0146] Optionally, the search optimization of the first iterative part of the search optimization algorithm adopts a global search method, and the search optimization of the second iterative part adopts a local search method.

[0147] Among them, the adjustment module 630 determines the base station power adjustment strategy of the communication network based on the target power configuration of each base station, so as to adjust the power of at least part of the base stations in the communication network according to the base station power adjustment strategy, including: given a group of base stations belonging to an energy efficiency cooperation relationship in the communication network, determining the base station power adjustment strategy of the base station group based on the target power configuration of each base station in the base station group; wherein the energy efficiency cooperation relationship refers to a relationship between base stations that can perform power scheduling with each other; and power adjustment is performed on each base station in the base station group according to the base station power adjustment strategy.

[0148] Optionally, the adjustment module 630, given a group of base stations belonging to an energy efficiency cooperative relationship in the communication network, determines a base station power adjustment strategy for the base station group based on the target power configuration of each base station in the base station group, including: dividing the base station group into a disturbing base station set and a disturbed base station set based on the initial power configuration and the target power configuration of each base station in the base station group; determining the preference between the disturbing base stations in the disturbing base station set and the disturbed base stations in the disturbed base station set; selecting a target disturbing base station and a target disturbed base station whose preference reaches a preset standard from the disturbing base station set and the disturbed base station set, and determining a power adjustment strategy to transfer part of the power of the target disturbing base station to the target disturbed base station.

[0149] Optionally, the user perceived parameter includes at least one of a user signal-to-noise ratio, a frequency scheduling order and a user-level rate of the base station; and the CCFD interference parameter includes at least one of a cross-link interference and a self-interference of the base station.

[0150] Optionally, before determining the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network based on the base station measurement data of the communication network, the test module 610 also measures the conditions of each base station in the communication network running the target business scenario to obtain the base station measurement data of the communication network; wherein the user perception dimension requires to include restrictions on the user perception parameters of the target business scenario.

[0151] It should be understood that the base station power adjustment device of this embodiment can be used as Figure 1 The execution body of the method shown can therefore be implemented Figure 1 The steps and functions in the method shown.

[0152] Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this specification. Figure 7 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. The memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the electronic device may also include hardware required for other services.

[0153] The processor, network interface and memory can be interconnected through an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 7 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0154] The memory is used to store the program. Specifically, the program may include a program code, and the program code includes a computer operation instruction. The memory may include a memory and a non-volatile memory, and provides instructions and data to the processor.

[0155] Optionally, the processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming the above-mentioned Figure 6 The base station power adjustment device shown. Correspondingly, the processor executes the program stored in the memory and is specifically used to perform the following operations:

[0156] Initial CCFD interference parameters and initial user perception parameters of each base station in the communication network are determined based on the base station measurement data of the communication network.

[0157] Under the constraints of CCFD dimensional conditions and user perception dimensional conditions, the base station performance of the communication network is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to obtain the target power configuration of each base station in the communication network.

[0158] A base station power adjustment strategy for the base station group is determined based on the target power configuration of each base station, so as to adjust the power of some base stations in the communication network according to the base station power adjustment strategy.

[0159] The base station power adjustment method disclosed in the above-mentioned embodiment as shown in this specification can be applied to a processor and implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above-mentioned processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0160] Of course, in addition to software implementation, the electronic device of this specification does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the executor of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0161] In addition, the present application also provides a computer-readable storage medium, which stores one or more programs, wherein the one or more programs include instructions. When the instructions are executed by a portable electronic device including multiple application programs, the portable electronic device can execute Figure 1 The steps of the method shown include:

[0162] Initial CCFD interference parameters and initial user perception parameters of each base station in the communication network are determined based on the base station measurement data of the communication network.

[0163] Under the constraints of CCFD dimensional conditions and user perception dimensional conditions, the base station performance of the communication network is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to obtain the target power configuration of each base station in the communication network.

[0164] A base station power adjustment strategy for the base station group is determined based on the target power configuration of each base station, so as to adjust the power of some base stations in the communication network according to the base station power adjustment strategy.

[0165] When optimizing the base station performance of the communication network, the electronic device of this embodiment first performs base station measurements on the communication network to obtain the current initial CCFD interference parameters and initial user perception parameters of each base station. Afterwards, based on the initial CCFD interference parameters and initial user perception parameters of each base station, the base station performance of the communication network is optimized under the constraints of the CCFD dimensional conditions and the user perception dimensional conditions, so as to obtain the optimal or near-optimal solution for the power configuration of each base station while taking into account a good user experience and lower CCFD interference, thereby guiding the adjustment of the base station power of the communication network. The electronic device of this embodiment is suitable for network environments with very complex interference channels such as traditional macro stations and CCFD base stations co-networking and CCFD base stations collaborative networking, and can effectively improve the energy utilization of the communication network.

[0166] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, this specification may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0167] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0168] The above are only embodiments of this specification and are not intended to limit this specification. For those skilled in the art, this specification may be subject to various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included in the scope of the claims of this specification. In addition, all other embodiments obtained by ordinary technicians in this field without creative work shall fall within the scope of protection of this document.

Claims

1. A base station power adjustment method, applied to a same-frequency simultaneous full-duplex CCFD communication network, characterized in that: include: Determining initial CCFD interference parameters and initial user perception parameters of each base station in the communication network based on base station measurement data of the communication network; Under the constraints of CCFD dimension conditions and user perception dimension conditions, the base station performance of the communication network is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to obtain the target power configuration of each base station in the communication network; A base station power adjustment strategy of the communication network is determined based on the target power configuration of each base station, so as to perform power adjustment on at least part of the base stations in the communication network according to the base station power adjustment strategy.

2. The method according to claim 1, characterized in that: The method optimizes the base station performance of the communication network based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network under the constraints of the CCFD dimensional condition and the user perception dimensional condition to obtain the target power configuration of each base station in the communication network, including: Under the constraints of CCFD dimension conditions and user perception dimension conditions, the channel relationship between each base station and the user is optimized based on the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network to determine the target user association degree of each base station; Given the target user association degree of each base station, the power configuration of each base station is optimized with maximizing the base station efficiency of the communication network as the gradient, and the target power configuration of each base station is determined.

3. The method according to claim 2, characterized in that The step of optimizing the power configuration of each base station based on the target user association degree of each base station and maximizing the base station efficiency of the communication network as a gradient to determine the target power configuration of each base station includes: Under the condition of target user association given to each base station, the power configuration of each base station is used as the search position of the search optimization algorithm, and the number of in-service users of each base station is used as the search space of the search optimization algorithm. Through a pre-set fitness function, the power configuration of each base station is subjected to multiple rounds of iterative search optimization in accordance with the gradient direction of maximizing the base station efficiency of the communication network to determine the target power configuration of each base station.

4. The method according to claim 3, characterized in that The search optimization of the first part of the iteration of the search optimization algorithm adopts a global search method, and the search optimization of the second part of the iteration adopts a local search method.

5. The method according to claim 1, characterized in that: The determining the base station power adjustment strategy of the communication network based on the target power configuration of each base station, so as to perform power adjustment on at least some base stations in the communication network according to the base station power adjustment strategy, comprises: Given a group of base stations in an energy efficiency cooperative relationship in the communication network, determining a base station power adjustment strategy for the base station group based on a target power configuration of each base station in the base station group; wherein the energy efficiency cooperative relationship refers to a relationship between base stations that can perform power scheduling with each other; The power of each base station in the base station group is adjusted according to the base station power adjustment strategy.

6. The method according to claim 5, characterized in that The method of determining the base station power adjustment strategy of the base station group based on the target power configuration of each base station in the base station group in a given communication network that belongs to an energy efficiency cooperation relationship includes: Based on the initial power configuration and the target power configuration of each base station in the base station group, the base station group is divided into an interfering base station set and a disturbed base station set; Determine a preference between a disturbing base station in the disturbing base station set and a disturbed base station in the disturbed base station set; A target disturbing base station and a target disturbed base station whose preferences reach a preset standard are selected from the disturbing base station set and the disturbed base station set, and a power adjustment strategy for transferring part of the power of the target disturbing base station to the target disturbed base station is determined.

7. The method according to any one of claims 1 to 6, characterized in that: The user perception parameter includes at least one of a user signal-to-noise ratio, a frequency scheduling order, and a user-level rate of the base station; The CCFD interference parameter includes at least one of cross-link interference and self-interference of the base station.

8. The method according to any one of claims 1 to 6, characterized in that: Before determining the initial CCFD interference parameters and initial user perception parameters of each base station in the communication network based on the base station measurement data of the communication network, the method further includes: The conditions of each base station in the communication network running the target business scenario are measured to obtain base station measurement data of the communication network; wherein the user perception dimension requirement includes restrictions on the user perception parameters of the target business scenario.

9. An electronic device, characterized in that: The device comprises: A processor; and a memory configured to store computer executable instructions, which, when executed, cause the processor to perform the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store computer-executable instructions, and the computer-executable instructions implement the method according to any one of claims 1 to 8 when executed by a processor.

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