Intelligent Reflecting Surface Enhanced User Cooperation in Wireless Powered Communication Networks

被引:121
作者
Zheng, Yuan [1 ]
Bi, Suzhi [1 ]
Zhang, Ying Jun [2 ]
Quan, Zhi [1 ]
Wang, Hui [1 ]
机构
[1] Shenzhen Univ, Coll Elect & Informat Engn, Shenzhen 518060, Peoples R China
[2] Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Wireless communication; Wireless sensor networks; Throughput; Resource management; Relays; Receivers; Energy harvesting; Wireless powered communications; intelligent reflecting surface; user cooperation; resource allocation; MAXIMIZATION;
D O I
10.1109/LWC.2020.2974721
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An intelligent reflecting surface (IRS) comprises a massive number of low-cost passive elements that can be controlled to reflect the incident signals into a structured output pattern. In this letter, we consider IRS-assisted user cooperation in a wireless powered communication network (WPCN), where two users harvest wireless energy and transmit information to a common hybrid access point (HAP). In particular, we exploit the use of IRS to enhance the energy efficiency in the wireless energy transfer (WET) phase and the spectral efficiency in the wireless information transmission (WIT) phase. We derive the maximum common (minimum) throughput performance by jointly optimizing the transmit time and power allocations of the two users and the passive array coefficients on reflecting the wireless energy and information signal. Simulation results show that the use of IRS can effectively improve the throughput performance of cooperative transmission in WPCNs.
引用
收藏
页码:901 / 905
页数:5
相关论文
共 20 条
[1]  
[Anonymous], [No title captured]
[2]  
[Anonymous], 2020, COMPUT NETW
[3]  
[Anonymous], [No title captured]
[4]   Computation Rate Maximization for Wireless Powered Mobile-Edge Computing With Binary Computation Offloading [J].
Bi, Suzhi ;
Zhang, Ying Jun .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (06) :4177-4190
[5]   Wireless Powered Communication: Opportunities and Challenges [J].
Bi, Suzhi ;
Ho, Chin Keong ;
Zhang, Rui .
IEEE COMMUNICATIONS MAGAZINE, 2015, 53 (04) :117-125
[6]   Coding metamaterials, digital metamaterials and programmable metamaterials [J].
Cui, Tie Jun ;
Qi, Mei Qing ;
Wan, Xiang ;
Zhao, Jie ;
Cheng, Qiang .
LIGHT-SCIENCE & APPLICATIONS, 2014, 3 :e218-e218
[7]   Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication [J].
Huang, Chongwen ;
Zappone, Alessio ;
Alexandropoulos, George C. ;
Debbah, Merouane ;
Yuen, Chau .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (08) :4157-4170
[8]  
Huang CW, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), P3714, DOI 10.1109/ICASSP.2018.8461496
[9]   Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks [J].
Huang, Liang ;
Bi, Suzhi ;
Zhang, Ying-Jun Angela .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2020, 19 (11) :2581-2593
[10]  
Ju H, 2014, IEEE GLOB COMM CONF, P1430, DOI 10.1109/GLOCOM.2014.7037009