STAR-RIS-Empowered Cognitive Non-Terrestrial Vehicle Network with NOMA

Kefeng Guo, Rui Liu, Mamoun Alazab, Rutvij H. Jhaveri, Xingwang Li, Mingfu Zhu

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

In this paper, we investigate the outage behavior of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-empowered cognitive non-terrestrial vehicle network with non-orthogonal multiple access (NOMA), in which Rician fading channels and imperfect/perfect successive interference cancellation (ipSIC/pSIC) are considered. In the network, STAR-RIS is utilized to assist the transmission and reflection of the superposed signals from a secondary unmanned aerial vehicle. Under the interference constraints of primary vehicle users, we derive the exact expressions of outage probability for all secondary vehicle users to evaluate the system parameters. Moreover, to gain deeper insights, the asymptotic expressions of outage probability along with the diversity order are obtained. Then, from numerical results, we confirm the correctness of our theoretical analysis and discuss the influences of key parameters on system performance. Compared with STAR-RIS-orthogonal multiple access (OMA)/non-STAR-RIS scheme, the superiority of our scheme is verified.

Original languageEnglish
Pages (from-to)3735-3749
Number of pages15
JournalIEEE Transactions on Intelligent Vehicles
Volume8
Issue number6
Early online date6 Apr 2023
DOIs
Publication statusPublished - 1 Jun 2023

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 62001517, in part by the Key Scientific Research Projects of Higher Education Institutions in Henan Province under Grant 23B510001, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2022A1515010999, in part by the Science and Technology Program of Guangzhou under Grant 202201011850, and in part by the Scientific Research Project of Education Department of Guangdong under Grant 2021KCXTD061.

Publisher Copyright:
© 2016 IEEE.

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