去蜂窝大规模MIMO系统功率控制算法

Power control algorithm for cell-free massive MIMO system

针对移动通信流量需求持续增长的需求,同时考虑用户接入点选择和下行功率控制,对去蜂窝大规模多输入多输出(multiple input multiple output,MIMO)系统的用户体验进行优化。基于最大信号干扰加噪声比,为每个用户选择有效的服务接入点子集。在此基础上,针对为不同优先级用户提供不同服务质量的目标,建立长期功率约束下的下行链路加权功率控制优化问题模型。将该问题转化为凸优化问题,求解得出一组优化的下行链路功率控制系数。算法经仿真验证,能将去蜂窝大规模MIMO系统的95%用户频谱效率提升约11倍,同时有效提升高优先级用户的体验,对于去蜂窝大规模MIMO系统的研究具有一定参考意义。

In response to the increasing demand for mobile communication traffic,the user access point(AP)selection and downlink power control is used to improve the users experience of the cell-free(CF)massive multiple input multiple output(MIMO)system.Based on the maximum signal interference plus noise ratio,an effective subset of service APs is selected for each user.Based on the result of the AP selection,aiming at providing different quality-of-service(QoS)to users with different priorities,a long-term power constraint optimization model of downlink weighted power control is established.The problem is transformed into a convex optimization problem.By solving this problem,a set of optimized downlink power control coefficients is obtained.The algorithm is verified by simulation,which can increase the spectral efficiency of 95%users of the CF massive MIMO system by about 11 times.At the same time,it helps to effectively improve the experience of high-priority users.It has certain significance for the study of the CF massive MIMO system.