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Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA

Author(s): Cheng, Yanyu; Li, Kwok Hung; Liu, Yuanwei; Teh, Kah Chan; Vincent Poor, H

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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-m 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.
Publication Date: 2-Feb-2021
Citation: Cheng, Yanyu, Li, Kwok Hung, Liu, Yuanwei, Teh, Kah Chan, Vincent Poor, H. (2021). Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA. IEEE Transactions on Wireless Communications, 20 (6), 3988 - 4000. doi:10.1109/twc.2021.3054841
DOI: doi:10.1109/twc.2021.3054841
ISSN: 1536-1276
EISSN: 1558-2248
Pages: 3988 - 4000
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Transactions on Wireless Communications
Version: Author's manuscript

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