在低秩视距环境下,为了获得MIMO中继系统的最佳系统容量,中继节点(rS)的位置选择至关重要。此研究利用角域遗传算法,缩小了粒子群搜索范围,可以精确寻找rS的最佳位置,提高了算法的收敛速度,减少了伪极值产生的可能性,快速提高系统容量。仿真实验表明,遗传算法应用于中继节点的位置选择,可较大程度地提高系统容量。In order to obtain the best system capacity of the MIMO relay system in low rank line-of-sight(LOS)environ ment,it is essential to choose the position of the relay stations(RS).The angular domain genetic algorithm,which narrows the scope of the particle swarm search,can accurately find the optimal location of RS,improve the speed of convergence of the algo rithm,reduce the possibility of pseudo extreme value generation and improve the system capacity.Simulation results show that the angular domain genetic algorithm is applied to the selection of appropriate location of the relay stations and the dramatical improvement of system capacity.国家自然科学基金资助项目(61172097); 福建省自然科学基金资助项目(2012J01424
