RIS-Assisted Self-Interference Mitigation for IBFD

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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
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
Publication statusPublished - 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

Keywords

  • Full-duplex
  • Reconfigurable Intelligent Surfaces
  • SI Mitigation

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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