基于蜜蜂交配优化算法的MIMO-OFDM系统上行多用户检测

Honeybees Mating Optimization Algorithm for Uplink Multi-user Detection in MIMO-OFDM Systems

针对上行MIMO-OFDM系统多用户检测(multi-user detection,MUD)问题,提出了一种基于蜜蜂交配优化(honeybees mating optimization,HBMO)算法的新方法。该方法通过模拟蜂群的交配过程和蜂王的不断进化来实现全局寻优;同时,该方法为了避免陷入局部最优解,在工蜂哺育阶段,采取邻域搜索。仿真结果表明,该方法在取得较优检测性能的同时,其计算复杂度却远远低于最大似然(maximum likelihood,ML)检测算法。

For the uplink Multi-User Detection（ MUD） in MIMO-OFDM systems,a new method based on Honeybees Mating Optimization（ HBMO） was proposed. The method can achieve a global optimization by simulating the mating process of bees and the evolution of the queen. At the same time,in order to avoid the algorithm falling into a local optimal solution,a neighborhood search algorithm was adopted during the stage of worker feeding. Simulation results show that the HBMO algorithm can achieve a better detection performance while its computational complexity is much lower than the maximum likelihood（ ML） detection algorithm.