CAJ | 학술논문

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.
재저질시거배경하,위료획득MIMO중계계통적최가계통용량,중계절점(RS)적위치선택지관중요.차연구이용각역유전산법,축소료입자군수색범위,가이정학심조RS적최가위치,제고료산법적수렴속도,감소료위겁치산생적가능성,쾌속제고계통용량.방진실험표명,유전산법응용우중계절점적위치선택,가교대정도지제고계통용량.
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.