Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA
Abstract
Intelligent reflecting surfaces (IRSs) are envisioned to provide reconfigurable wireless environments for future communication networks. In this paper, both downlink and uplink IRS-aided non-orthogonal multiple access (NOMA) and orthogonal multiple access (OMA) networks are studied, in which an IRS is deployed to enhance the coverage by assisting a cell-edge user device (UD) to communicate with the base station (BS). To characterize system performance, new channel statistics of the BS-IRS-UD link with Nakagami- fading are investigated. For each scenario, the closed-form expressions for the outage probability and ergodic rate are derived. To gain further insight, the diversity order and high signal-to-noise ratio (SNR) slope for each scenario are obtained according to asymptotic approximations in the high-SNR regime. It is demonstrated that the diversity order is affected by the number of IRS reflecting elements and Nakagami fading parameters, but the high-SNR slope is not related to these parameters. Simulation results validate our analysis and reveal the superiority of the IRS over the full-duplex decode-and-forward relay.
Keywords
Cite
@article{arxiv.2005.00996,
title = {Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA},
author = {Yanyu Cheng and Kwok Hung Li and Yuanwei Liu and Kah Chan Teh and H. Vincent Poor},
journal= {arXiv preprint arXiv:2005.00996},
year = {2021}
}
Comments
Accepted for publication in the IEEE Transactions on Wireless Communications