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• W3011454518 abstract "Intelligent reflecting surface (IRS) is a promising technology to enhance the coverage and performance of wireless networks. We consider the application of IRS to non-orthogonal multiple access (NOMA), where a base station transmits superposed signals to multiple users by the virtue of an IRS. The performance of an IRS-assisted NOMA networks with imperfect successive interference cancellation (ipSIC) and perfect successive interference cancellation (pSIC) is investigated by invoking 1-bit coding scheme. In particular, we derive new exact and asymptotic expressions for both outage probability and ergodic rate of the m-th user with ipSIC/pSIC. Based on analytical results, the diversity order of the m-th user with pSIC is in connection with the number of reflecting elements and channel ordering. The high signal-to-noise radio (SNR) slope of ergodic rate for the $m$-th user is obtained. The throughput and energy efficiency of non-orthogonal users for IRS-NOMA are discussed both in delay-limited and delay-tolerant transmission modes. Additionally, we derive new exact expressions of outage probability and ergodic rate for IRS-assisted orthogonal multiple access (IRS-OMA). Numerical results are presented to substantiate our analyses and demonstrate that: i) The outage behaviors of IRS-NOMA are superior to that of IRS-OMA and relaying schemes; ii) With increasing the number of reflecting elements, IRS-NOMA is capable of achieving enhanced outage performance; and iii) The M-th user has a larger ergodic rate compared to IRS-OMA and benchmarks. However, the ergodic performance of the $m$-th user exceeds relaying schemes in the low SNR regime." @default.
• W3011454518 created "2020-03-23" @default.
• W3011454518 creator A5039132110 @default.
• W3011454518 creator A5076863392 @default.
• W3011454518 date "2020-02-23" @default.
• W3011454518 modified "2023-09-25" @default.
• W3011454518 title "Performance Analysis of Intelligent Reflecting Surface Assisted NOMA Networks" @default.
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• W3011454518 doi "https://doi.org/10.48550/arxiv.2002.09907" @default.
• W3011454518 hasPublicationYear "2020" @default.
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