基于线性权重粒子群优化算法的多基站协作波束成型  

Beamforming Algorithm for Multi-Base Station Cooperation Based on Linearly-Decrease Inertia Weight Particle Swarm Optimization

作　　者：肖海林[1] 任婵婵 聂在平[2] 李民政[1] 

机构地区：[1]桂林电子科技大学认知无线电与信号处理教育部重点实验室,广西桂林541004 [2]电子科技大学电子工程学院成都610054

出　　处：《电子科技大学学报》2015年第5期663-667,共5页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(61261018,61362007,61472094);广西自然科学基金杰出青年基金(2014GXNSFGA118007);广西自然科学基金重点项目(2011GXNSFD018028);广西自然科学基金创新群体项目(2013GXNSFFA019004)

摘　　要：为有效抑制小区间干扰,提高多基站协作通信系统的传输速率,提出了一种多基站协作波束成型方案。该方案基于线性权重粒子群优化算法,将最大化系统总速率问题转化为适应度函数的优化问题进行求解。为避免搜索过程中陷入局部最优,该算法的惯性权重采用线性递减的方式。根据所建立的优化问题,给出了适应度函数的构造方法。数值分析结果表明,相对于惯性权重为0.5的基本粒子群算法,所提算法使系统总速率提升了41.13 bit/s,同时具有很好的收敛性。To suppress the inter-cell interference and improve the transmission rate of wireless communication system, a beamforming strategy for multi-base station cooperation based on linearly-decrease inertia weight particle swarm optimization（LIWPSO） algorithm is presented. The sum rate of the system maximization is formulated as a fitness function optimization problem. In order to avoid falling into local optimal in search process, the inertia weight of the algorithm adopts linear decreasing approach. Moreover, the construction method of fitness function is also obtained according to the optimization problem. Numerical simulations show that the proposed algorithm will increase the sum rate of system 41.13 bit/s with a good convergence, compared with particle swarm optimization of inertia weight with 0.5.

关 键 词：波束成型 协作通信 线性权重粒子群优化算法 系统总速率 

分 类 号：TN929.5[电子电信—通信与信息系统]