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

Abstract

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

CLC Number:

TN92

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.

Figures/Tables 5

References 37

[1]	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.
[2]	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.
[3]	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.
[4]	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.
[5]	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.
[6]	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.
[7]	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.
[8]	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.
[9]	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.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.
[16]	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.
[17]	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.
[18]	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.
[19]	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.
[20]	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, 2021doi:10.1109/TWC.2021.3108901.
[21]	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.
[22]	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.
[23]	ZHAI L , ZOU Y , ZHU J ,et al. A Stackelberg game approach for IRS-aided WPCN multicast systems[J]. IEEE Transactions on Wireless Communications, 2021doi:10.1109/TWC.2021.3119646.
[24]	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.
[25]	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.
[26]	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.
[27]	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.
[28]	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.
[29]	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.
[30]	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.
[31]	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.
[32]	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.
[33]	GRANT M , BOYD S . CVX:MATLAB software for disciplined convex programming,version 2.1[R]. 2014.
[34]	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.
[35]	ABSIL P A , MAHONY R , SEPULCHRE R . Optimization algorithms on matrix manifolds[M]. Princeton: Princeton University Press, 2009.
[36]	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.
[37]	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.

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