Achievable Rate Analysis of Two-Hop Interference Channel with Coordinated IRS Relay
- Authors
- Nguyen, The Vi; Truong, Thanh Phung; Nguyen, Thi My Tuyen; Noh, Wonjong.; Cho, Sungrae
- Issue Date
- Sep-2022
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Array signal processing; Coordinated relay; Energy efficiency; intelligent reflecting surface; interference channel; Interference channels; multihop multi-pair transmission; Optimization; Relays; Spread spectrum communication; Wireless communication
- Citation
- IEEE Transactions on Wireless Communications, v.21, no.9, pp 7055 - 7071
- Pages
- 17
- Journal Title
- IEEE Transactions on Wireless Communications
- Volume
- 21
- Number
- 9
- Start Page
- 7055
- End Page
- 7071
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/55496
- DOI
- 10.1109/TWC.2022.3154372
- ISSN
- 1536-1276
1558-2248
- Abstract
- Intelligent reflecting surface (IRS) is a promising 6G technology that can improve wireless communication capacity in a cost-effective and energy-efficient manner, by adjusting a large number of passive reflectors to appropriately change the signal propagation. In this study, we identified the achievable rate region of a two-hop interference channel with distributed multiple IRS relays. To do so, we formulated a non-convex problem that characterizes the rate-profile, and found its solution using successive convex approximation (SCA). We then proposed an alternating direction method of multipliers (ADMM) and alternating optimization (AO) based distributed and low-complex IRS control that maximizes the achievable sum-rate, and proved its convergence and optimality. We then compared the proposed IRS control with semi-definite relaxation (SDR)-, random phase-, deep reinforcement learning (DRL)- based IRS controls, and optimal amplify-and-forward (AF)-, interference neutralization (IN)-, and decode-and-forward (DF) based relaying schemes. We demonstrated that the proposed control with multiple IRS elements outperforms the benchmark controls in terms of the achievable rate region, achievable sum-rate, and energy efficiency under same power budget. We also confirmed that the discrete phase approximation of the proposed control provides near-optimal performance with fewer bits, and the proposed control is robust under imperfect CSI condition. The proposed controls can be efficiently applied to large-scale multi-pair multihop device-to-device and machine-type device communications in the interference-limited or low-powered dense networks of 5G and 6G environments. IEEE
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