Throughput maximization for intelligent reflecting surface-aided device-to-device communications system

被引：0
|
作者：
Zhang, Chiya [1 ,2 ]
Chen, Wenyu [3 ]
He, Chunlong [3 ]
Li, Xingquan [3 ]
机构：
[1] School of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen,518055, China
[2] Peng Cheng Laboratory (PCL), Shenzhen,5180523, China
[3] Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen,518060, China
来源：
Journal of Communications and Information Networks | 2020年 / 5卷 / 04期
关键词：
D O I：
10.23919/jcin.2020.9306014
中图分类号：
学科分类号：
摘要：
—Intelligent reflecting surface (IRS) is a promising technology for its capability of reflecting the incident signal towards the desired user. IRS can improve the efficiency of wireless communication systems. This paper introduces IRS into a device-to-device (D2D) communications system to improve the throughput of the D2D network. We adopt the block coordinate descent algorithm and semidefinite relaxation technique to optimize the beamforming vector, power allocation and phase shift matrix. Simulation results demonstrate that IRS is able to enhance the throughput of the D2D communications system, and the proposed algorithm significantly outperforms the other benchmark algorithms. © 2020, Posts and Telecom Press Co Ltd. All rights reserved.
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页码：35 / 42
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