MIMO Precoding Design with QoS and Per-Antenna Power Constraints

被引：5

作者：

Chi, Kaiyi ^{[1
]}

Huang, Yingzhi ^{[1
]}

Yang, Qianqian ^{[1
]}

Yang, Zhaohui ^{[1
]}

Zhang, Zhaoyang ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China

来源：

IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM | 2023年

关键词：

MIMO precoder; weighted sum-rate maximization; quality-of-service; per-antenna power constraints; OPTIMIZATION; DOWNLINK;

D O I：

10.1109/GLOBECOM54140.2023.10437214

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：

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (WSR) while considering both quality-of-service (QoS) constraints of each user and per-antenna power constraints (PAPCs) in the downlink MU-MIMO system. To solve the problem, we reformulate the original problem to an equivalent problem by using the well-known weighted minimal mean square error (WMMSE) framework, which can be tackled by iteratively solving three subproblems. Since the precoding matrices are coupled among the QoS constraints and PAPCs, we adopt alternating direction method of multipliers (ADMM) to obtain a distributed solution. Simulation results validate the effectiveness of the proposed algorithm.

引用

页码：3324 / 3329

页数：6

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