IRS辅助的SWIPT系统中基于能效优先的波束成形设计与优化

doi:10.11959/j.issn.1000-0801.2022001

Abstract

Abstract:

Intelligent reflecting surface (IRS)-assisted simultaneous wireless information and power transfer (SWIPT) system is set as research background.Joint design and optimization of energy-efficiency priority based active beamforming at multi-antenna transmitter and passive beamforming at IRS were investigated.The optimization objective was to maximize minimum energy-efficiency, which was subject to transmitter power control, energy constraint at energy harvesting (EH) receiver and IRS phase shift constraint.Alternating direction method of multipliers (ADMM) was implemented to solve this non-linear non-convex optimization problem.Firstly, the fraction objective function was transformed via Dinkelbach’s approach.Singular value decomposition (SVD) andsemi-definite relaxation (SDR) were applied to obtain active beam forming vector at transmitter.Simulation results indicate that, IRS assisted SWIPT could significantly reduce energy threshold at EH receiver.The achievable energy-efficiency of the proposed strategy is 300 KB/J when total circuit power consumption is -15 dBm.Maximum energy-efficiency can be achieved with the maximum numbers of passive reflecting elements and transmitter antennas.

Key words: intelligent reflecting surface, simultaneous wireless information and power transfer, energy-efficiency priority, beamforming, alternating direction method of multipliers

CLC Number:

TN929

Xiaorong XU, Weiwei ZHU, Jianrong BAO, Weiping ZHU, Wei FENG, Yingbiao YAO. Energy-efficiency priority based beamforming design and optimization in IRS-assisted SWIPT system[J]. Telecommunications Science, 2022, 38(1): 36-46.

Figures/Tables 8

符号	定义	符号	定义
M	ST天线数	L	IRS反射阵源数
$H_{SI}$	ST到IRS信道矩阵	$G = diag (q_{1}, \dots, q_{l}, \dots, q_{L})$	IRS相移对角阵
$h_{{Sr}_{i}}, i = 1, 2, \dots, K_{I}$	ST到 ${SR}_{{ID}_{i}}$ 信道增益	$h_{{Ir}_{i}}, i = 1, 2, \dots, K_{I}$	IRS到 ${SR}_{{ID}_{i}}$ 信道增益
$g_{{Sr}_{j}}, j = 1, 2, \dots, K_{E}$	ST到 ${SR}_{{EH}_{i}}$ 信道增益	$g_{{Ir}_{j}}, j = 1, 2, \dots, K_{E}$	IRS到 ${SR}_{{EH}_{i}}$ 信道增益
β	反射系数幅度（最大发射增益β=1）	$θ = (θ_{1}, θ_{2}, \dots, θ_{L})$	反射系数相移向量
$w_{i}, i = 1, 2, \dots, K_{I}$	ST到 ${SR}_{{ID}_{i}}$ 波束成形向量	$s_{i}, i = 1, 2, \dots, K_{I}$	${SR}_{{ID}_{i}}$ 接收信号
$s_{E}$	ST发射能量向量	$R_{i} {\| w_{i} \|, θ}, i = 1, 2, \dots, K_{I}$	${SR}_{{ID}_{i}}$ 可达速率
$Q_{j} {\| w_{i} \|, S_{E}, θ}, j = 1, 2, \dots, K_{E}$	${SR}_{{EH}_{i}}$ 收集的能量	$γ_{i} {\| w_{i} \|, θ}, i = 1, 2, \dots, K_{I}$	${SR}_{{ID}_{i}}$ 接收SINR
ζ	发射功放效率	P_C	系统总电路功耗
P_t	系统总功耗	${EE}_{i}, i = 1, 2, \dots, K_{I}$	${SR}_{{ID}_{i}}$ 能效
$Γ_{j}, j = 1, 2, \dots, K_{E}$	${SR}_{{EH}_{i}}$ 能量收集门限	$σ_{i}^{2}, i = 1, 2, \dots, K_{I}$	${SR}_{{ID}_{i}}$ 接收到的AWGN噪声功率
P_max	ST发射功率门限	B	带宽

参数	数值	参数	数值
L/个	25/15	P_max/dBm	1
M /条	8/4	$α_{H_{SI}}$	2
$σ_{i}^{2}$ /dBm	-80	$α_{h_{{ir}_{i}}}$	2
P_C/dBm	-5/-15	$α_{h_{{Sr}_{i}}}$	2
d_SI/m	50	d _v /m	2

References 17

[1]	RENZO M D , DEBBAH M , PHAN-HUY D T , ,et al. Smart radio environments empowered by reconfigurable AI meta-surfaces:an idea whose time has come[J]. EURASIP Journal on Wireless Communications and Networking, 2019:129.
[2]	TANG W K , CHEN M Z , DAI J Y ,et al. Wireless communications with programmable metasurface:new paradigms,opportunities,and challenges on transceiver design[J]. IEEE Wireless Communications, 2020,27(2): 180-187.
[3]	刘期烈, 杨建红, 徐勇军 ,等. 面向安全通信的智能反射面网络能效优化算法[J]. 电讯技术, 2020,60(12): 1391-1397.
	LIU Q L , YANG J H , XU Y J ,et al. An energy-efficient optimization algorithm for secure-based intelligent reflecting surface networks[J]. Telecommunication Engineering, 2020,60(12): 1391-1397.
[4]	田辉, 倪万里, 王雯 ,等. IRS辅助的边缘智能系统中基于数据重要性感知的资源分配[J]. 北京邮电大学学报, 2020,43(6): 51-58.
	TIAN H , NI W L , WANG W ,et al. Data-importance-aware resource allocation in IRS-aided edge intelligent system[J]. Journal of Beijing University of Posts and Telecommunications, 2020,43(6): 51-58.
[5]	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.
[6]	SAAD W , BENNIS M , CHEN M Z . A vision of 6G wireless systems:applications,trends,technologies,and open research problems[J]. IEEE Network, 2020,34(3): 134-142.
[7]	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.
[8]	WU Q Q , ZHANG R . Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019,18(11): 5394-5409.
[9]	WU Q Q , ZHANG S W , ZHENG B X ,et al. Intelligent reflecting surface-aided wireless communications:a tutorial[J]. IEEE Transactions on Communications, 2021,69(5): 3313-3351.
[10]	TANG W K , LI X , DAI J Y ,et al. Wireless communications with programmable metasurface:Transceiver design and experimental results[J]. China Communications, 2019,16(5): 46-61.
[11]	DAI L L , WANG B C , WANG M ,et al. Reconfigurable intelligent surface-based wireless communications:antenna design,prototyping,and experimental results[J]. IEEE Access, 2020(8): 45913-45923.
[12]	CHU Z , HAO W M , XIAO P ,et al. Intelligent reflecting surface aided multi-antenna secure transmission[J]. IEEE Wireless Communications Letters, 2020,9(1): 108-112.
[13]	GONG S Q , YANG Z Y , XING C W ,et al. Beamforming optimization for intelligent reflecting surface-aided SWIPT IoT networks relying on discrete phase shifts[J]. IEEE Internet of Things Journal, 2021,8(10): 8585-8602.
[14]	TAO Q , ZHANG S W , ZHONG C J ,et al. Intelligent reflecting surface aided multicasting with random passive beamforming[J]. IEEE Wireless Communications Letters, 2021,10(1): 92-96.
[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 ICC 2020 - 2020 IEEE International Conference on Communications (ICC). Piscataway:IEEE Press, 2020: 1-6.
[16]	XIE H L , XU J , LIU Y F . Max-Min fairness in IRS-aided multi-cell MISO systems via joint transmit and reflective beamforming[C]// Proceedings of ICC 2020 - 2020 IEEE International Conference on Communications (ICC). Piscataway:IEEE Press, 2020: 1-6.
[17]	ZHANG M , CUMANAN K , THIYAGALINGAM J ,et al. Energy efficiency optimization for secure transmission in MISO cognitive radio network with energy harvesting[J]. IEEE Access, 2019,7: 126234-126252.

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