RIS-Assisted Self-Interference Mitigation for IBFD

Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev, Ahmed M. Eltawil

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

1 Scopus citations

Abstract

In-band full-duplex (IBFD) technology offers a promising solution to address the demanding spectrum requirements of emerging wireless applications and use cases. Additionally, alongside the conventional reconfigurable intelligent surface (C-RIS), the simultaneously transmitting and reflecting RIS (STAR-RIS) is a promising technology that enables full-space coverage on both sides of the surface by dividing the incident signal into transmitted and reflected signals. Pairing FD with RIS technology creates new possibilities to achieve self-interference (SI) cancellation and spectral efficiency that were previously unattainable. This paper presents a novel approach leveraging C-RIS and STAR-RIS technologies in the IBFD network. Our methodology uses the C-RIS to improve SI mitigation at the FD transceiver, while the STAR-RIS serves as a connectivity enhancer for UL and DL transmissions. To fully leverage these capabilities, we propose a joint C-RIS and STAR-RIS problem, which entails optimizing the number of elements in the C-RIS to cancel out SI. At the same time, we use numerical and closed-form solutions to optimize STAR-RIS partitioning and reflection coefficient control for optimal DL and UL transmission performance in STAR-RIS's transmission and reflection modes.

Original languageEnglish (US)
Title of host publicationConference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages182-187
Number of pages6
ISBN (Electronic)9798350325744
DOIs
StatePublished - 2023
Event57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 - Pacific Grove, United States
Duration: Oct 29 2023Nov 1 2023

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
Country/TerritoryUnited States
CityPacific Grove
Period10/29/2311/1/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Full-duplex
  • Reconfigurable Intelligent Surfaces
  • SI Mitigation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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