Rate Maximization for Cell-Free Massive MIMO with Low-Resolution ADCs

被引:1
|
作者
Zhang, Yao [1 ]
Cao, Haotong [1 ]
Zhou, Meng [1 ]
Wu, Shengchen [1 ]
Yang, Longxiang [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Wireless Commun Key Lab Jiangsu Prov, Nanjing 210003, Peoples R China
基金
中国国家自然科学基金;
关键词
Cell-free massive MIMO; analog-to-digital converters; sum rate maximization; quality-of-service; successive convex approximation; PERFORMANCE ANALYSIS; CHANNEL ESTIMATION;
D O I
10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00165
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, it presents a sum rate maximization power optimization problem for downlink cell-free massive multiple-input multiple-output (CF-mMIMO) system with low-resolution analog-to-digital converters (ADCs) at the access points (APs) and users, subjecting to the quality-of-service (QoS) constraint and each AP power constraint. To handle this non-convex issue, we explore successive convex approximation (SCA) technique and convert the original problem to a series of second-order-cone programs (SOCPs). The motivation of SCA is to substitute the non-convex term by its convex approximation. Numerical results indicate our proposed algorithm has a fast convergence rate. In addition, compared with the case of no power optimization, the proposed SCA algorithm permits a huge performance gain.
引用
收藏
页码:897 / 900
页数:4
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