Simultaneously Transmitting and Reflecting-Reconfigurable Intelligent Surfaces with Hardware Impairment and Phase Error

Waqas Khalid, M. Atif Ur Rehman, Trinh Van Chien, Heejung Yu

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

8 Citations (Scopus)

Abstract

Simultaneously transmitting and reflecting reconfig-urable intelligent surfaces (STAR-RISs) provide both transmitting and reflecting signals. The combination of STAR-RIS and non-orthogonal multiple access (NOMA) provides higher performance gains. In this paper, we evaluate NOMA downlink transmission with STAR-RIS under phase error and transceiver hardware impairment. We exploit the statistical properties of the effective channel power and evaluate the ergodic rate behaviors for ideal and non-ideal STAR-RIS-NOMA systems. The numerical results confirm the accuracy of the analytical analysis and demonstrate the selection of the system parameters.

Original languageEnglish
Title of host publication5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages654-656
Number of pages3
ISBN (Electronic)9781665456456
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 - Virtual, Online, Indonesia
Duration: 20 Feb 202323 Feb 2023

Publication series

Name5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023

Conference

Conference5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Country/TerritoryIndonesia
CityVirtual, Online
Period20/02/2323/02/23

Keywords

  • Ergodic rates
  • NOMA
  • Phase error
  • STAR-RIS
  • Transceiver hardware im-pairment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Artificial Intelligence

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