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
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页数:5
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