JOINT SYMBOL LEVEL PRECODING AND RECEIVE BEAMFORMING FOR MULTIUSER MIMO DOWNLINK

被引：2

作者：

Cai, Shu ^{[1
,4
]}

Chang, Tsung-Hui ^{[2
,3
]}

Zhu, Hongbo ^{[1
,4
]}

机构：

[1] Nanjing Univ Posts & Telecommun, Jiangsu Key Lab Wireless Commun, Nanjing, Peoples R China

[2] Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R China

[3] Shenzhen Res Inst Big Data, Shenzhen, Peoples R China

[4] NJUPT, Engr Res Ctr Hlth Serv Syst, Based Ubiquitous Wireless Netw, Nanjing, Peoples R China

来源：

2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019) | 2019年

关键词：

Multiuser MIMO; symbol-level precoding; beamforming; non-convex optimization; INTERFERENCE;

D O I：

10.1109/spawc.2019.8815513

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：

While most of the existing symbol-level precoding (SLP) designs have assumed single-antenna users, this paper considers a joint SLP and receive beamforming (SLP-RBF) design for multiuser downlink. The formulated problem minimizes the total transmission power under the user symbol error probability (SEP) constraints. Due to the transmitter-receiver joint design, the problem involves non-convex bilinear terms and has a large number of SEP constraints. To overcome the challenges, we propose a new approximation method for the bilinear function that has an appealing separable structure. Based on the proposed approximation method, we develop a successive convex approximation algorithm for the joint SLPRBF problem, where the approximation problem can be efficiently solved by a dual based accelerated gradient projection method. Simulation results show the performance improvement of the joint SLP-RBF design over existing methods.

引用

页数：5

共 14 条

[1] Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges [J].