摘要
为了提升去蜂窝大规模多输入多输出(multiple input multiple output,MIMO)系统中接入点(access point,AP)选择方案的性能,结合迫零(zero forcing,ZF)预编码技术和人工蜂群算法,提出了针对去蜂窝大规模MIMO系统用户端的AP选择算法。基于各个用户所需接收的信号,采用ZF预编码算法,使得所有AP都参与预编码,从而获得预编码信号;针对每个用户,利用人工蜂群算法,在优化目标为最大化用户的信道容量的前提下,求解相应的AP选择方案。仿真结果表明,相比于不进行AP选择的方案,提出的去蜂窝大规模MIMO系统的AP选择方案在信道容量性能方面表现更优。当用户数量为5、信噪比(signal to noise ratio,SNR)为40 dB、AP数量为40时,提出的AP选择算法对应的信道容量为14.8 bit/(s·Hz),与不进行AP选择的算法相比,信道容量提高5 bit/(s·Hz)。
To enhance the performance of access point(AP)selection schemes in cell-free massive multiple input multiple output(MIMO)systems,this paper proposes an AP selection algorithm tailored for users in cell-free massive MIMO environments,integrating zero forcing(ZF)precoding technology with the artificial bee colony(ABC)algorithm.By employing the ZF precoding algorithm,all APs participate in precoding based on the signals each user needs to receive,thereby generating the corresponding precoded signals.For each user,the ABC algorithm is utilized to derive the AP selection scheme with the objective of maximizing the user’s channel capacity.Simulation results demonstrate that the proposed AP selection scheme for cell-free massive MIMO systems outperforms schemes without AP selection in terms of channel capacity performance.When there are 5 users,a signal-to-noise ratio(SNR)of 40 dB,and 40 APs,the channel capacity achieved by the proposed AP selection algorithm is 14.8 bit/(s·Hz),which is an improvement of 5 bit/(s·Hz)compared to the algorithm without AP selection.
作者
袁红
邢智童
程祖钊
夏士超
YUAN Hong;XING Zhitong;CHENG Zuzhao;XIA Shichao(School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China;School of Software Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China)
出处
《重庆邮电大学学报（自然科学版）》
CSCD
北大核心
2024年第5期907-914,共8页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
关键词
去蜂窝大规模多输入多输出
接入点选择
迫零预编码
人工蜂群算法
cell-free massive multiple input multiple output
access point selection
zero forcing precoding
artificial bee colony
