Upper-Bound Ergodic Capacity Analysis of RIS-Aided Energy-Harvesting Relay Systems

被引:4
作者
Huang, Yuanyun [1 ]
Zou, Yulong [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Sch Telecommun & Inform Engn, Nanjing, Peoples R China
来源
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) | 2022年
关键词
Reconfigurable intelligent surfaces; energy harvesting; power splitting; ergodic capacity; Rician fading; INTELLIGENT REFLECTING SURFACE; NETWORK;
D O I
10.1109/GLOBECOM48099.2022.10001587
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we consider a single-input single-output system consisting of a source, a destination, an energy harvesting (EH) decode-and-forward (DF) relay and two separate reconfigurable intelligent surfaces (RISs). A power-splitting ratio is employed at the EH DF relay to represent a tradeoff between the harvested energy partially for decoding the source signal received at the relay and the remaining energy for retransmitting the decode signal. By using Jensen Inequality, we derive a closed-form upper-bound expression of the ergodic capacity for the proposed RIS-aided EH relay transmission scheme with the optimal power-splitting ratio, which is shown to closely match Monte-Carlo simulations. We analyse the impact of the RIS and relay locations on the ergodic capacity performance. Additionally, our simulations show that the proposed transmission scheme achieves a better capacity than that without relay or just having a single RIS deployed between the source and relay.
引用
收藏
页码:3235 / 3240
页数:6
相关论文
共 14 条
[1]   A Hybrid Relay and Intelligent Reflecting Surface Network and Its Ergodic Performance Analysis [J].
Abdullah, Zaid ;
Chen, Gaojie ;
Lambotharan, Sangarapillai ;
Chambers, Jonathon A. .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (10) :1653-1657
[2]   Intelligent Reflecting Surface Versus Decode-and-Forward: How Large Surfaces are Needed to Beat Relaying? [J].
Bjornson, Emil ;
Ozdogan, Ozgecan ;
Larsson, Erik G. .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (02) :244-248
[3]   Unsupervised Learning for Passive Beamforming [J].
Gao, Jiabao ;
Zhong, Caijun ;
Chen, Xiaoming ;
Lin, Hai ;
Zhang, Zhaoyang .
IEEE COMMUNICATIONS LETTERS, 2020, 24 (05) :1052-1056
[4]  
Han FB, 2019, IEEE ENER CONV, P974, DOI [10.1109/ECCE.2019.8912688, 10.1109/ecce.2019.8912688]
[5]   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
[6]  
Laneman J. N., 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), DOI 10.1109/ISIT.2001.936157
[7]   Outage Probability of Energy Harvesting Relay-Aided Cooperative Networks Over Rayleigh Fading Channel [J].
Li, Tao ;
Fan, Pingyi ;
Ben Letaief, Khaled .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (02) :972-978
[8]  
Rahman AB, 2020, IEEE REGION 10 SYMP, P106
[9]   2-to-M Coordinated Multipoint-Based Uplink Transmission in Ultra-Dense Cellular Networks [J].
Sun, Wen ;
Liu, Jiajia .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (12) :8342-8356
[10]   Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems [J].
Tao, Qin ;
Wang, Junwei ;
Zhong, Caijun .
IEEE COMMUNICATIONS LETTERS, 2020, 24 (11) :2464-2468