Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks

被引：0
|
作者：
Sun W. [1 ,2 ]
Song Q. [2 ]
Guo L. [2 ]
机构：
[1] School of Computer Science and Engineering, Northeastern University, Shenyang
[2] Institute of Intelligent Communication and Network Security, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Tongxin Xuebao/Journal on Communications | 2022年 / 43卷 / 02期
基金：
国家杰出青年科学基金;
关键词：
Beamforming design; IRS; Resource allocation; Sum-rate maximization; SWIPT;
D O I：
10.11959/j.issn.1000-436x.2022023
中图分类号：
学科分类号：
摘要：
In order to achieve the efficient interconnection of everything, under the limitations of terminal devices' batteries and network coverage, the intelligent reflecting surface (IRS) technology was introduced to build a new IRS-aided simultaneous wireless information and power transfer (SWIPT) network. To further improve the total throughput of the network, a resource allocation (RA) scheme aiming at sum-rate maximization was proposed. Considering that the constraints of the maximum transmit power of a base station, the minimum energy requirement of each device and the phase shifts on an IRS, a joint transmit beamforming, power splitting (PS) ratio and phase shift optimization problem was formulated. Due to the non-convex problem and coupled variables, a block coordinate descent (BCD)-based algorithm was proposed. Then, the joint transmit beam forming design, PS ratio optimization and phase shift design were solved by using the successive convex approximation (SCA) and Riemannian manifold methods, respectively. Simulation results show that the proposed RA scheme performs better than the existing RA schemes in terms of sum-rate. © 2022, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码：34 / 43
页数：9
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