Cell-Free Massive MIMO with UAV Access Points: UAV Location Optimization

被引:19
作者
Wang, Lifu [1 ]
Zhang, Qi [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Nanjing 210003, Peoples R China
来源
2022 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC | 2022年
基金
中国国家自然科学基金;
关键词
Cell-free massive MIMO; location optimization; UAV; NETWORKS;
D O I
10.1109/ICCC55456.2022.9880734
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cell-free massive multiple-input multiple-output (MIMO) which utilizes a certain number of distributed access points (APs) that connect to a central processing unit to serve all users in the network, arises much attention recently. Compared with APs on the ground, aerial APs can be flexibly deployed according to the distribution of users, which is especially suitable for the system with frequently-moving users or temporary emergency communication scenario. In this paper, we investigate a cell-free massive MIMO framework that use unmanned aerial vehicles (UAVs) as the aerial APs. By correlating the UAV altitude to line-of-sight and non-line-of-sight propagation model, we derive a closed-form achievable downlink sum rate of the system. Based on the analysis, the optimal UAV altitude and horizontal coordinates that maximize the downlink sum rate are obtained through an alternating optimization method. As users move, UAV APs in our system will move promptly to densely distribute in the area above crowded users, leading to a better system capacity.
引用
收藏
页码:262 / 267
页数:6
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