Non-uniform array design for robust LoS MIMO via convex optimization

被引:0
作者
Palaiologos, Michail [1 ,3 ]
Garcia, Mario H. Castaneda [1 ]
Kakkavas, Anastasios [2 ]
Stirling-Gallacher, Richard A.
Caire, Giuseppe [1 ]
机构
[1] Huawei Technol Dusseldorf GmbH, Munich Res Ctr, D-80992 Munich, Germany
[2] Tech Univ Munich, Sch Computat Informat & Technol, D-80333 Munich, Germany
[3] Tech Univ Berlin, Commun & Informat Theory Grp, D-10623 Berlin, Germany
来源
2023 IEEE 34TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, PIMRC | 2023年
关键词
LoS MIMO; convex optimization; array design; SELECTION; SYSTEMS;
D O I
10.1109/PIMRC56721.2023.10293813
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The array design problem of multiple-input multiple-output (MIMO) systems in a line-of-sight (LoS) transmit environment is examined. As uniform array configurations at the transmitter (Tx) and receiver (Rx) are optimal at specific transmit distances only, they lead to reduced spectral efficiency over a range of transmit distances. To that end, the joint design of non-uniform Tx and Rx arrays towards maximizing the minimum capacity of a LoS MIMO system across a range of transmit distances is investigated in this paper. By introducing convex relaxation, the joint Tx and Rx array design is cast as a convex optimization problem, which is solved in a iterative manner. In addition, we also implement a local search to obtain a refined solution that achieves an improved performance. It is shown that the non-uniform configurations designed with our proposed approach outperform uniform and non-uniform array designs of the literature in terms of capacity and/or complexity.
引用
收藏
页数:6
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