Intelligent Reflecting Surfaces-Supported Terahertz NOMA Communications

Yijin Pan, Kezhi Wang, Cunhua Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the sum rate is maximized for the intelligent reflective surface (IRS) assisted terahertz (THz) non-orthogonal multiple access (NOMA) communication system. A novel algorithm is proposed to alternatively optimize the IRS phase shift, the sub-band allocation, and power control. To tackle the formulated non-convex problem, we utilize the auxiliary variables to find the feasible initialization solution meanwhile guarantee the individual rate requirements. The decoding order of successive interference cancellation (SIC) is determined according to channel gain maximization, and the IRS phase is further adjusted to improve the sum rate. A long-distance priority (LDP) algorithm is then proposed to compensate for the distance-dependent THz pathloss attenuation, and a blocking pair eliminating (BPE) algorithm is proposed to obtain a stable THz sub-band allocation. Simulation results show that the proposed scheme significantly enhances the sum-rate performance of the IRS-assisted THz NOMA networks.
Original languageEnglish
Title of host publication2022 IEEE Wireless Communications and Networking Conference (WCNC)
Place of PublicationPiscataway, US
PublisherIEEE
Pages1743-1748
Number of pages6
ISBN (Electronic)9781665442664
ISBN (Print)9781665442671
DOIs
Publication statusPublished - 10 Apr 2022

Publication series

NameProceedings of the IEEE Wireless Communications and Networking Conference (WCNC)
PublisherIEEE
ISSN (Print)1525-3511
ISSN (Electronic)1558-2612

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