Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks

Wei SUN; Qingyang SONG; Lei GUO

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

您当前的位置：

首页 >

文章列表页 >

Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks

Papers | 更新时间：2024-06-05

- Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks
- Journal on Communications Vol. 43, Issue 2, Pages: 34-43(2022)
- 作者机构：
  
  1. 东北大学计算机科学与工程学院，辽宁沈阳 110089
  2. 重庆邮电大学智能通信与网络安全研究院，重庆 400065
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62025105);The Natural Science Foundation of Chongqing(cstc2020jcyj-msxmX0918)
- DOI：10.11959/j.issn.1000-436x.2022023
  CLC： TN92
- Online First：2022-02，
  
  Published：25 February 2022
- 稿件说明：
移动端阅览
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.
DOI：

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

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。

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.

关键词

Keywords

references

PONNIMBADUGE P T D , JAYAKODY D N K , SHARMA S K , et al . Simultaneous wireless information and power transfer (SWIPT):recent advances and future challenges [J ] . IEEE Communications Surveys ＆ Tutorials , 2018 , 20 ( 1 ): 264 - 302 .

SHI Q J , LIU L , XU W Q , et al . Joint transmit beamforming and receive power splitting for MISO SWIPT systems [J ] . IEEE Transactions on Wireless Communications , 2014 , 13 ( 6 ): 3269 - 3280 .

ZHOU X , ZHANG R , HO C K . Wireless information and power transfer:architecture design and rate-energy tradeoff [J ] . 2012 IEEE Global Communications Conference (GLOBECOM) , 2012 , 61 ( 11 ): 3982 - 3987 .

QI Q , CHEN X M , NG D W K . Robust beamforming for NOMA-based cellular massive IoT with SWIPT [J ] . IEEE Transactions on Signal Processing , 2020 , 68 : 211 - 224 .

CUI T J , QI M Q , WAN X , et al . Coding metamaterials,digital metamaterials and programmable metamaterials [J ] . Light:Science ＆ Applications , 2014 , 3 ( 10 ): e218 .

GONG S M , LU X , HOANG D T , et al . Toward smart wireless communications via intelligent reflecting surfaces:a contemporary survey [J ] . IEEE Communications Surveys ＆ Tutorials , 2020 , 22 ( 4 ): 2283 - 2314 .

WU Q Q , ZHANG R . Towards smart and reconfigurable environment:intelligent reflecting surface aided wireless network [J ] . IEEE Communications Magazine , 2020 , 58 ( 1 ): 106 - 112 .

ZHOU G , PAN C H , REN H , et al . Intelligent reflecting surface aided multigroup multicast MISO communication systems [J ] . IEEE Transactions on Signal Processing , 2020 , 68 : 3236 - 3251 .

WANG P L , FANG J , YUAN X J , et al . Intelligent reflecting surface-assisted millimeter wave communications:joint active and passive precoding design [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 12 ): 14960 - 14973 .

BAI T , PAN C H , DENG Y S , et al . Latency minimization for intelligent reflecting surface aided mobile edge computing [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 11 ): 2666 - 2682 .

MU X D , LIU Y W , GUO L , et al . Exploiting intelligent reflecting surfaces in NOMA networks:joint beamforming optimization [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 10 ): 6884 - 6898 .

WU Q Q , ZHANG R . Joint active and passive beamforming optimization for intelligent reflecting surface assisted SWIPT under QoS constraints [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 8 ): 1735 - 1748 .

PAN C H , REN H , WANG K Z , et al . Intelligent reflecting surface aided MIMO broadcasting for simultaneous wireless information and power transfer [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 8 ): 1719 - 1734 .

WU Q Q , ZHANG R . Weighted sum power maximization for intelligent reflecting surface aided SWIPT [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 5 ): 586 - 590 .

TANG Y Z , MA G G , XIE H L , et al . Joint transmit and reflective beamforming design for IRS-assisted multiuser MISO SWIPT systems [C ] // Proceedings of 2020 IEEE International Conference on Communications . Piscataway:IEEE Press , 2020 : 1 - 6 .

LIU J X , XIONG K , LU Y , et al . Energy efficiency in secure IRS-aided SWIPT [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 11 ): 1884 - 1888 .

HU S K , WEI Z Q , CAI Y X , et al . Sum-rate maximization for multiuser MISO downlink systems with self-sustainable IRS [C ] // Proceedings of 2020 IEEE Global Communications Conference . Piscataway:IEEE Press , 2020 : 1 - 7 .

EMADI M J , MASOUMI H . Performance analysis of cooperative SWIPT system:intelligent reflecting surface versus decodeand-forward [J ] . AUT Journal of Modeling and Simulation , 2019 , 51 ( 2 ): 241 - 248 .

ZARGARI S , FARAHMAND S , ABOLHASSANI B . Joint design of transmit beamforming,IRS platform,and power splitting SWIPT receivers for downlink cellular multiuser MISO [J ] . Physical Communication , 2021 , 48 : 101413 .

LI Z , CHEN W , WU Q , et al . Joint beamforming design and power splitting optimization in IRS-assisted SWIPT NOMA networks [J ] . IEEE Transactions on Wireless Communications , 2021 doi:10.1109/TWC.2021.3108901.

WEI L , HUANG C W , ALEXANDROPOULOS G C , et al . Channel estimation for RIS-empowered multi-user MISO wireless communications [J ] . IEEE Transactions on Communications , 2021 , 69 ( 6 ): 4144 - 4157 .

LIU H , YUAN X J , ZHANG Y J A . Matrix-calibration-based cascaded channel estimation for reconfigurable intelligent surface assisted multiuser MIMO [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 11 ): 2621 - 2636 .

ZHAI L , ZOU Y , ZHU J , et al . A Stackelberg game approach for IRS-aided WPCN multicast systems [J ] . IEEE Transactions on Wireless Communications , 2021 doi:10.1109/TWC.2021.3119646.

朱政宇 , 徐金雷 , 孙钢灿 , 等 . 基于IRS辅助的SWIPT物联网系统安全波束成形设计 [J ] . 通信学报 , 2021 , 42 ( 4 ): 185 - 193 .

ZHU Z Y , XU J L , SUN G C , et al . Secure beamforming design for IRS-assisted SWIPT Internet of Things system [J ] . Journal on Communications , 2021 , 42 ( 4 ): 185 - 193 .

李陶深 , 施安妮 , 王哲 , 等 . 基于 SWIPT 的吞吐量最优化 NOMA全双工中继选择策略 [J ] . 通信学报 , 2021 , 42 ( 5 ): 87 - 97 .

LI T S , SHI A N , WANG Z , et al . Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput [J ] . Journal on Communications , 2021 , 42 ( 5 ): 87 - 97 .

杨鲲 , 胡杰 , 黄川 , 等 . 无线数据与能量一体化通信网络 [M ] . 北京 : 科学出版社 , 2020 .

YANG K , HU J , HUANG C , et al . Data and energy integrated communication networks [M ] . Beijing : Science Press , 2020 .

ZHENG Y , BI S Z , ZHANG Y J A , et al . Joint beamforming and power control for throughput maximization in IRS-assisted MISO WPCNs [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 10 ): 8399 - 8410 .

GONG S Q , XING C W , WANG S , et al . Throughput maximization for intelligent reflecting surface aided MIMO WPCNs with different DL/UL reflection patterns [J ] . IEEE Transactions on Signal Processing , 2021 , 69 : 2706 - 2724 .

PAN C H , ZHU H L , GOMES N J , et al . Joint precoding and RRH selection for user-centric green MIMO C-RAN [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 5 ): 2891 - 2906 .

PAPANDRIOPOULOS J , EVANS J S . SCALE:a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks [J ] . IEEE Transactions on Information Theory , 2009 , 55 ( 8 ): 3711 - 3724 .

LUO Z Q , MA W K , SO A M C , et al . Semidefinite relaxation of quadratic optimization problems [J ] . IEEE Signal Processing Magazine , 2010 , 27 ( 3 ): 20 - 34 .

SO A M C , ZHANG J W , YE Y Y . On approximating complex quadratic optimization problems via semidefinite programming relaxa tions [J ] . Mathematical Programming , 2007 , 110 ( 1 ): 93 - 110 .

GRANT M , BOYD S . CVX:MATLAB software for disciplined convex programming,version 2.1 [R ] . 2014 .

YU X H , SHEN J C , ZHANG J , et al . Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems [J ] . IEEE Journal of Selected Topics in Signal Processing , 2016 , 10 ( 3 ): 485 - 500 .

ABSIL P A , MAHONY R , SEPULCHRE R . Optimization algorithms on matrix manifolds [M ] . Princeton : Princeton University Press , 2009 .

XU D F , YU X H , JAMALI V , et al . Resource allocation for large IRS-assisted SWIPT systems with non-linear energy harvesting model [C ] // Proceedings of 2021 IEEE Wireless Communications and Networking Conference . Piscataway:IEEE Press , 2021 : 1 - 7 .

ZARGARI S , KHALILI A , WU Q Q , et al . Max-min fair energy-efficient beamforming design for intelligent reflecting surface-aided SWIPT systems with non-linear energy harvesting model [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 6 ): 5848 - 5864 .

Views

1521

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Resource allocation method for energy efficiency maximization in SWIPT IoT systems assisted by self-sustainable RIS

Resource allocation scheme for IRS assisted heterogeneous SWIPT-NOMA system

Joint power and spectrum optimization algorithm for ICV in diverse service scenarios

Multi-indicator intention-driven adaptive optimization strategy for UAV computation offloading and trajectory planning

Related Author

SUN Wei

DENG Xinmao

GUO Pengxing

SONG Qingyang

GUO Lei

JI Wei

LIU Ziqing

GUO Pengxing

Related Institution

School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications

Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications

College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications

Gele Mountain Tourism Scenic Area Affairs Center

School of Automation, Chongqing University of Posts and Telecommunications

AI问答

⁰