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CN-121463169-B - Integrated resource allocation method and system for perception communication

CN121463169BCN 121463169 BCN121463169 BCN 121463169BCN-121463169-B

Abstract

The invention discloses a resource allocation method and a system for integration of perception-oriented communication, wherein the method comprises the steps of constructing a resource allocation table Networking system positioning composed of individual perception communication integrated base stations Target and are connected with Establishing a resource allocation model for dividing array elements and selecting and transmitting subcarriers of the integrated sensing communication by taking the total power consumption of the system as an objective function and taking sensing performance, communication rate, frequency spectrum and array element resources as constraint conditions, and solving high coupling and non-convexity existing in the resource allocation model. The invention can minimize the power consumption of the sensing communication integrated system by optimizing the frequency spectrum, the array elements and the power under the constraint of the sensing positioning precision and the communication rate.

Inventors

  • ZHANG WEIWEI
  • WANG ZHENLONG
  • ZHANG MIN

Assignees

  • 淮北师范大学

Dates

Publication Date
20260512
Application Date
20251121

Claims (8)

  1. 1. The resource allocation method for the integration of the perception communication is characterized by comprising the following steps of: Construction of the member Networking system positioning composed of individual perception communication integrated base stations Target and are connected with A scenario of individual user communications; Establishing a resource allocation model which takes the total power consumption of the system as an objective function and takes the perceived performance, the communication rate, the frequency spectrum and the array element resources as constraint conditions and is oriented to the perceived communication integration of array element division, subcarrier selection and transmission: ,(1); In the formula, Expressed as through optimization 、 、 、 、 、 The objective function is minimized and the function of the object is, Allocating vectors for power of perceptual functions, wherein The individual elements are Represents the first Base station pair number The individual targets locate the allocated power and, Is a power allocation matrix of the communication function, Representation of Is a matrix of real numbers of (a), For the total number of communication carriers per base station, Represent the first Communication spectrum part of the base station Subcarrier pair number The power of the communication of the individual users, An array element allocation vector expressed as a sensing function, wherein The individual elements are Is the first Base station pair number The number of array elements allocated by each target positioning; is an array element allocation matrix of communication functions, wherein Represent the first Generating the first base station Sub-carrier beam and for the first The number of array elements required by each user for communication; A position state vector representing the object, Transpose the matrix; Is the bandwidth allocation vector of the perception function, wherein the first The individual elements are Represents the first Base station pair number Target positioning the allocated bandwidths; Is a communication carrier allocation matrix in which , A value of 1 indicates the first Communication spectrum part of the base station Subcarrier allocation to the first The individual users are used for the communication and, A value of 0 indicates no allocation; Represent the first Total bandwidth allocated by the base station to the qth user, wherein Is the width of each subcarrier; And Representing a predefined positioning accuracy threshold and communication rate threshold; And Representing the total array element number and total bandwidth of each base station; , And The values of the perceived bandwidth, perceived power and communication power are non-negative; The number of elements representing the elements for sensing and communication must be from 1 to Is a combination of the integer of (a), Denoted as constraint symbols, C1 to C9 denote the numbers of constraint terms, As a trace of the matrix, For the lower bound matrix of the carat, For the communication rate of the q-th user, Is any sign in mathematics Solving for the high degree of coupling and non-convexity present in the resource allocation model, comprising: Firstly temporarily neglecting the coupling constraint of a sensing and communication shared spectrum and an array element in a single base station, and decomposing the problem of overall constraint optimization into two independent sub-problems, namely, the sub-problems of power, bandwidth and array element resource allocation of a sensing system and the sub-problems of power, carrier wave and array element resource allocation of a communication system; the sub-problem of the perception system is solved by introducing a semi-positive rule by utilizing the characteristic that the transmitting power of the perception system and the allocated bandwidth and the number of array elements are in a collinear relation; Aiming at the problem of sharing array elements by a sensing and communication system, the array element division is performed based on the fact that when the ratio of sensing and communication power to the number of the corresponding array elements is equal, the system transmitting power is minimum; Aiming at the global spectrum allocation, based on the resource allocation situation, a greedy algorithm is adopted to dynamically adjust the spectrum division of the sensing and communication system in the same base station so as to meet the physical constraint condition of the shared spectrum, and the reasonable coordination and allocation of spectrum resources are realized.
  2. 2. The integrated resource allocation method for sensing communication according to claim 1, wherein the step of introducing a semi-positive rule to solve a sensing system sub-problem by utilizing a characteristic that a transmitting power of a sensing system has a collinear relation with a bandwidth and the number of array elements allocated by the sensing system comprises the steps of: Introducing a primer 1, namely for each base station with a given bandwidth, the solutions of the power and the bandwidth allocated by the perception function in the perception system sub-problem are collinear; According to the primer 1, carrying out first form conversion on the sub-problem of the perception system to reduce the adaptive vector in the sub-problem of the perception system, and introducing a primer 2 into the sub-problem of the perception system to optimize the sub-problem of the perception system on the basis of the first form conversion, wherein the primer 2 is that the array elements and the bandwidth in the sub-problem of the perception system are collinear; ① Power allocation based on lemma 1 and lemma 2 and setting the th Base station pair number The bandwidth allocated by each target location is taken as a fixed value, and the secondary conversion form is carried out on the sub-problem of the perception system again; For minimizing the total power problem, the equivalent is to sum the power required for locating each target, so that the perception system sub-problem after the second conversion form is decomposed into L sub-problems to be solved, and the following is expressed: ,(22); introducing an auxiliary matrix Rewriting formula (22): ,(23); solving by using a semi-positive rule algorithm to obtain an optimal solution of power distribution; ② Broadband distribution, namely obtaining a corresponding bandwidth distribution result by adopting cyclic optimization through the lemma 1 according to the obtained perception function power distribution result, wherein the iterative expression is as follows: ; ③ Repeating steps ① and ② until the power converges to obtain a solution to the constraint-optimized perceptual system sub-problem And And then according to the quotation 2, obtain , wherein, , , ; In the formula, Is a matrix of units which is a matrix of units, A fischer matrix perceived for the target location parameters, 、 Are constants that are all greater than 0, And Respectively shown in the first In the second iteration Bandwidth and power vectors allocated by the sensing function at the individual base stations, Is the first In the second iteration The total power allocated by the sensing function is distributed on the individual base stations.
  3. 3. The integrated communication-oriented resource allocation method according to claim 1, wherein solving the sub-problem of the communication system by using an alternate direction multiplier method comprises: introducing an introduction theory 3, namely aiming at the base station with each given array element number, the power distributed by the communication function and the solution of the array elements in the communication system sub-problem are collinear; ① Fixing the array element value Then the binary variable is Serialization to Ignoring the same carrier Constraints that cannot be allocated to multiple users simultaneously, where resource allocation between different users is decoupled, such that minimizing the total transmit power amounts to summing the minimum power of each user's communication to resolve the communication system sub-problem into Solving the sub-problem, and converting the form of the communication system sub-problem for the first time; ② According to Relative to Is convex, and optimizes the communication system sub-problem with the Lagrangian multiplier, wherein the Lagrangian function of the communication system sub-problem is expressed as follows: ,(27); A lagrangian function representation of a sub-problem for a communication system, In order to be a lagrangian multiplier, As a threshold value for the communication rate, Is the first In the base station Subcarrier pair number The channel parameters of the communication of the individual users, To from the first The base station to the first Signal attenuation for individual users; Power representing zero-mean gaussian white noise; ③ And (3) adopting an alternate direction multiplier method to iteratively update the power distributed by the communication function, the carrier wave and the corresponding multiplier, wherein the formula is as follows: ,(28); , , , , And Respectively shown in the first And The power, subcarrier and lagrangian multiplier for communication in the multiple iterations, , And Are both the update step sizes and the update step sizes, 、 Respectively is And Is a gradient of (2); ④ Updating the array element allocation result of the communication according to the following formula: ,(29); is shown in the first In the second iteration The array element vectors allocated by the communication functions on the individual base stations, And Is shown in the first In the second iteration The power vectors and the total power distributed by the communication functions on the individual base stations; And Are constants that are all greater than 0, A total number of array elements allocated for communication in each base station; ⑤ Treatment of And If the boundary of (1) Then If (3) Then Or, if it Then ; Is the first Of multiple iterations , Is the first Of multiple iterations ; ⑥ Repeating steps ③,④ and ⑤ until the power converges to obtain a solution to the sub-problem of the constrained optimal communication system , And , wherein, , , 。
  4. 4. The method for allocating resources for integration of perceived communication according to claim 1, wherein the dividing the array elements based on the minimum system transmission power when the ratio of the perceived and communicated power to the corresponding number of array elements is equal, comprises: The array element division should satisfy the following relationship: ,(34); , , And Respectively representing the power and array element allocation results of the sensing function in the sensing system sub-problem and the power and array element allocation results of the communication function in the communication system sub-problem; Then according to the relation which should be satisfied by the array element division, the constraint condition is satisfied Power and element allocation results for the sensing and communication functions: ,(35); In the formula, Representing the scaling factors of the power and elements required for the sensing and communication functions in each base station, wherein, , ; The total number of array elements per base station.
  5. 5. The integrated resource allocation method for perceived communication according to claim 1, wherein the implementation of reasonable coordination and allocation of spectrum resources comprises: ① Dividing the spectrum of each base station equally into Parts of (a) wherein Expressed as: ,(36); ② Sequentially combining each spectrum Carrying out the solving step ① to calculate the perceived intensity before and after the spectrum increase and the power variation of the communication respectively if Then On the contrary ; 、 The total bandwidth allocated for sensing and communicating in each base station separately, 、 Respectively, to increase the frequency spectrum The amount of change in power consumed by the sensing and communication system, For the total bandwidth of each base station.
  6. 6. The integrated resource allocation method for perceived communication of claim 1 wherein a lower bound matrix of caramerro is obtained The method comprises the steps of inverting the Fisher matrix, and the third step The fisher matrix of the individual target location parameter awareness is: ,(2); The formula (I) is shown in the specification, And Expressed as: ,(3); ,(4); ,(5); In the formula, , Representing the position coordinates of the mth base station and the first target respectively, , Is the first Radar cross-sectional area of the individual target relative to the mth base station, Is the mth base station and the mth base station Distance between the individual targets; power for zero mean gaussian white noise; the lower bound matrix of the caramerro is obtained by inverting the fischer matrix: ,(7)。
  7. 7. The integrated communication-oriented resource allocation method according to claim 1, wherein the communication rate of the q-th user Obtained by the following formula: ,(8); In the formula, Represent the first In the base station Subcarrier pair number Channel parameters for individual user communications; Power representing zero-mean gaussian white noise; The representation is from the first The base station to the first The signal of the individual user is attenuated and, Wherein Is the first The base station and the first Distance between individual users.
  8. 8. A resource allocation system for integration of awareness-oriented communication, wherein the resource allocation method for integration of awareness-oriented communication according to any one of claims 1 to 7 is applied, comprising: A scene construction module for constructing a scene composed of Networking system positioning composed of individual perception communication integrated base stations Target and are connected with A scenario of individual user communications; the resource allocation module is used for establishing a resource allocation model which takes the total power consumption of the system as an objective function, takes the perceived performance, the communication rate, the frequency spectrum and the array element resources as constraint conditions, and is oriented to the perceived communication integration of array element division and subcarrier selection and transmission; and the solving and optimizing module is used for solving the high coupling and non-convexity existing in the resource allocation model.

Description

Integrated resource allocation method and system for perception communication Technical Field The invention relates to the technical field of communication integrated resource allocation, in particular to a perception communication integrated resource allocation method and system. Background Along with the continuous development of intelligent driving and the internet of things, the integration of communication and perception systems has become an important research field. Traditionally, communication systems and sensing systems are designed and operated independently, but with the shortage of spectrum resources and advances in technology, sensing communication integration has become an effective way to improve spectrum utilization efficiency, improve system performance, and save costs. The integration of the communication and sensing systems not only can optimize the use of frequency spectrum, but also can improve the reliability and efficiency of signal transmission through joint design. At present, some researches have proposed a communication and perception integrated resource allocation method, and under the constraint of guaranteeing the estimation precision of target parameters and communication data rate, the system power consumption is optimized by optimizing and allocating the integrated orthogonal frequency division multiplexing subcarriers and the transmitting power on each subcarrier. However, due to the lack of effective algorithm support, the existing research results fail to consider the multidimensional coordination optimization of frequency spectrum, array elements, power and the like, so that the performance of the system under various resource constraints is limited. Therefore, the method for dividing the array elements and selecting the subcarriers and distributing the transmitting resources for the integration of the sensing communication has important theoretical value and application prospect. In the design process of the perception communication integrated system, how to reasonably allocate resources such as frequency spectrum, array elements, power and the like becomes a key problem for realizing the high-efficiency performance of the system. The sharing of spectrum resources enables the communication and sensing system to work on the same frequency band, but the different detection targets and the different spectrum requirements and using modes of communication users have differences, so that the problems of resource conflict and interference are caused. And the reasonable distribution of array elements and power directly influences the perceived performance and communication quality of the system. Therefore, how to meet the service requirement of the communication system on the premise of ensuring the perceptibility is a core problem which must be solved when designing the perceptive communication integrated system. Disclosure of Invention The invention aims to solve the technical problem of providing a resource allocation method capable of minimizing the power consumption of a sensing communication integrated system by optimizing frequency spectrum, array elements and power under the constraint of sensing positioning precision and communication rate. In order to solve the technical problems, the invention provides the following technical scheme: a resource allocation method for sensing communication integration comprises the following steps: constructing a scene of locating L targets and communicating with Q users by a networking system consisting of M perception communication integrated base stations; Establishing a resource allocation model which takes the total power consumption of the system as an objective function, takes the perceived performance, the communication rate, the frequency spectrum and the array element resources as constraint conditions, and is oriented to the perceived communication integration of array element division and subcarrier selection and transmission; and solving the high coupling and non-convexity existing in the resource allocation model. In one embodiment of the invention, the resource allocation model is expressed by the following formula: ,(1); In the formula, Expressed as through optimization、、、、、The objective function is minimized and the function of the object is,Allocating vectors for power of perceptual functions, whereinThe individual elements areRepresents the firstBase station pair numberThe individual targets locate the allocated power and,Is a power allocation matrix of the communication function,Representation ofIs a matrix of real numbers of (a),For the total number of communication carriers per base station,Represent the firstCommunication spectrum part of the base stationSubcarrier pair numberThe power of the communication of the individual users,An array element allocation vector expressed as a sensing function, whereinThe individual elements areIs the firstBase station pair numberThe number of array elements allocated by each t