Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface Assisted NOMA Networks
Xinwei Yue, Jin Xie, Yuanwei Liu, Zhihao Han, Rongke Liu, Zhiguo, Ding

TL;DR
This paper analyzes the performance of STAR-RIS assisted NOMA networks over Rician channels, deriving outage and rate expressions, and demonstrating their superiority over OMA and cooperative systems through simulations.
Contribution
It introduces new analytical expressions for outage probability and ergodic rate in STAR-RIS-NOMA networks considering imperfect SIC, and evaluates their performance enhancements.
Findings
STAR-RIS-NOMA outperforms STAR-RIS-OMA and cooperative systems in outage probability.
Increasing reflecting elements and Rician factor improves network performance.
Ergodic rates of STAR-RIS-NOMA are higher than STAR-RIS-OMA.
Abstract
Simultaneously transmitting/refracting and reflecting reconfigurable intelligent surface (STAR-RIS) has been introduced to achieve full coverage area. This paper investigate the performance of STAR-RIS assisted non-orthogonal multiple access (NOMA) networks over Rician fading channels, where the incidence signals sent by base station are reflected and transmitted to the nearby user and distant user, respectively. To evaluate the performance of STAR-RIS-NOMA networks, we derive new approximate expressions of outage probability and ergodic rate for a pair of users, in which the imperfect successive interference cancellation (ipSIC) and perfect SIC (pSIC) schemes are taken into consideration. Based on the asymptotic expressions, the diversity orders of the nearby user with ipSIC/pSIC and distant user are achieved carefully. The high signal-to-noise ratio slopes of ergodic rates for nearby…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
