面向通信和干扰一体化的用户匹配和功率分配OA

In the scenario of group communication confrontation,it is necessary to ensure the performance of both self-communication and jamming against illegal communication targets.However,when there are multiple friendly communication targets and multiple illegal communication targets,a single friendly transmitter is difficult to meet performance requirements.To address this challenge,an integrated communication and jamming system encompassing multiple base stations has been devised.Furthermore,a mathematical framework has been formulated to maximize the communication sum rates,subject to the constraint of jamming performance.To solve the Mixed Integer Nonlinear Programming(MINLP)problem,a relaxation variable is first introduced to transform the problem into a manageable form with an equivalent objective function.Secondly,non-convex constraints are transformed into convex constraints using methods such as first-order Taylor expansion and penalty function.Then,a joint user matching and power allocation optimization algorithm is proposed,and its convergence is analyzed.Finally,the simulation results show that the proposed joint user matching and power allocation optimization algorithm is superior to the benchmark algorithm.At the same time,the influence of parameters such as the number of users and transmission power on the sum of communication user rates was discussed and analyzed.