Energy-Efficient Optimization for Multi-cell Distributed Massive MIMO URLLC Systems

被引：1
|
作者：
Zhu, Xiaoyue [1 ]
Liu, Bo [1 ]
Zhu, Pengcheng [1 ]
Li, Jiamin [1 ]
Wang, Yan [1 ]
机构：
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
来源：
2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP | 2022年
基金：
中国国家自然科学基金;
关键词：
URLLC; DM-MIMO; EE; beamforming; RRU selection; RESOURCE-ALLOCATION; DESIGN;
D O I：
10.1109/WCSP55476.2022.10039211
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：
One of the most critical services in the fifth generation (5G) mobile communication is ultra-reliable and low-latency communication (URLLC). In this paper, we investigate the energy efficiency (EE) maximization problem of URLLC for the multi-cell distributed massive MIMO (DM-MIMO) system through a joint optimization of beamforming and remote radio unit (RRU) selection. The formulated problem is a mixed integer nonlinear program (MINLP) and then we solve it by applying efficient approaches, including the Dinkelbach method, semidefinite relaxation (SDR), reweighted l1-norm and auxiliary variable approximation. By combining these measures in one iteration, an energy-efficient optimization algorithm is proposed to find the suboptimal solution of the problem. Simulation results show that the proposed algorithm converges fast and significantly improves the EE of the multi-cell DM-MIMO URLLC system.
引用
收藏
页码：1172 / 1177
页数：6
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