Performance Analysis of Intelligent Reflecting Surface Assisted NOMA Networks
Xinwei Yue, Yuanwei Liu

TL;DR
This paper analyzes the performance of IRS-assisted NOMA networks, deriving exact and asymptotic expressions for outage probability and ergodic rate, and compares them with IRS-OMA and relaying schemes.
Contribution
It provides new analytical expressions for outage probability and ergodic rate in IRS-NOMA with imperfect and perfect SIC, and compares performance with other schemes.
Findings
IRS-NOMA outperforms IRS-OMA and relaying in outage behavior.
Increasing reflecting elements improves outage performance.
The M-th user achieves higher ergodic rate than IRS-OMA and benchmarks.
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 -th user is obtained. The…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Satellite Communication Systems · Optical Wireless Communication Technologies
