基于粒子群算法的认知无线电下行链路中的OFDMA资源分配算法

认知无线电技术是解决当前频谱资源紧缺情况的有效手段,其中功率和频谱联合分配问题是一个非常重要的环节.用一个联合矩阵代替传统的功率分配矩阵和频谱分配指示矩阵,以系统总发射功率最小和在不对主用户造成干扰的条件下最大化系统的吞吐量为目标,并应用粒子群算法求解该问题.重新设计了粒子群算法的位置和速度更新策略,更适合于求解联合优化问题.仿真结果表明,新算法复杂度要优于传统利用粒子群算法求解,且提高了系统吞吐量.

Resource allocation in OFDM CR network downlink system based on Particle Swarm Optimisation

Cognitive radio becomes a promising approach to increase spectrum efficiency, and power and spectrum allocation is a very important part.We use a union matrix instead of the traditional power distribution matrix and the spectrum allocation matrix, maximize the system throughput under the condition of the smallest system total transmit power and interference caused by unauthorized users.We redesign the location and speed of Particle Swarm Optimization (PSO) more suitable for solving the the joint optimization problem.The simulation results show that the algorithm complexity decrease compared with the tradition algorithm, and increase the system throughput.