JOURNAL ARTICLE

Intelligent reflecting surface-assisted cognitive radio-inspired rate-splitting multiple access systems

Peixu LiuGang JingHongwu LiuLiang YangTheodoros A. Tsiftsis

Year: 2022 Journal:   Digital Communications and Networks Vol: 9 (3)Pages: 655-666   Publisher: KeAi

Abstract

Intelligent reflecting surface (IRS) has been widely regarded as a promising technology for configuring wireless propagation environments. In this paper, we utilize IRS to assist transmission of a secondary user (SU) in a cognitive radio-inspired rate-splitting multiple access (CR-RSMA) system in which a primary user's (PU's) quality of service (QoS) requirements must be guaranteed. Without introducing intolerable interference to deteriorate the PU's outage performance, the SU conducts rate-splitting to transmit its signal to the base-station through the direct link and IRS reflecting channels. For the IRS-assisted CR-RSMA (IRS-CR-RSMA) scheme, we derive the optimal transmit power allocation, target rate allocation, and successive interference cancellation decoding order to enhance the outage performance of the SU. The closed-form expression for the SU's outage probability achieved by the IRS-CR-RSMA scheme is derived. Various simulation results are presented to clarify the enhanced outage performance achieved by the proposed IRS-CR-RSMA scheme over the CR-RSMA scheme.

Keywords:
Computer science Cognitive radio Transmitter power output Interference (communication) Quality of service Base station Single antenna interference cancellation Wireless Transmission (telecommunications) Computer network Scheme (mathematics) Decoding methods Transmitter Telecommunications Channel (broadcasting)

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53
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0.54
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Citation History

Topics

Advanced Wireless Communication Technologies
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Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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