智能反射表面辅助的无线携能通信网络资源分配算法

doi:10.11959/j.issn.1000-436x.2022023

摘要/Abstract

摘要：

为了解决终端设备能量受限、网络覆盖范围有限等问题，实现绿色万物高效互联，引入了一种新的智能反射表面技术，构建智能反射表面辅助的无线携能通信网络。为了进一步提升该网络的总吞吐量，提出了一种以速率和最大化为目标的资源分配方案。考虑基站的发射功率限制、所有物联网设备最低能量需求限制和智能反射表面的相移约束，建立联合发射波束设计、功率分割比决策及相移设计的混合资源分配模型。由于所规划的问题是非凸的且变量间存在耦合关系，设计了一种有效的基于块坐标下降迭代算法，并利用连续凸近似方法和黎曼流形方法实现联合发射波束设计、功率分割比优化及相移设计。仿真结果表明，所提方案在速率和方面优于现有的资源分配方案。

关键词: 智能反射表面, 无线携能通信, 资源分配, 波束设计, 最大化速率和

Abstract:

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.

Key words: IRS, SWIPT, resource allocation, beamforming design, sum-rate maximization

中图分类号:

TN92

孙巍, 宋清洋, 郭磊. 智能反射表面辅助的无线携能通信网络资源分配算法[J]. 通信学报, 2022, 43(2): 34-43.

Wei SUN, Qingyang SONG, Lei GUO. Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks[J]. Journal on Communications, 2022, 43(2): 34-43.

图/表 5

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