Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Single Versus Double IRS-Assisted Networks: A Comparative Analysis Using Practical Phase Shifting
Show others and affiliations
2024 (English)In: IEEE Wireless Communications and Networking Conference, WCNC, IEEE conference proceedings, 2024Conference paper, Published paper (Refereed)
Abstract [en]

Intelligent reflecting surfaces (IRSs) have been considered to revolutionize beyond 5G and 6G systems as they help increase signal strength through their ability to control radio environments effectively. Introducing IRS assistance in a single-input single-output (SISO) network has been proven to improve the system's performance. This paper compares the performance of a single IRS-assisted SISO system against a double IRS-assisted system under various wireless network setups. Our work relies on a shared allocation scheme of IRS elements, where a practical phase-dependent amplitude phase shift model is utilized along with discrete phase shifts to develop a reliable and energy-efficient system. We observe energy efficiency while altering system parameters to identify the limits where each system works better. The simulation results show that two IRSs perform better at large deployments, whereas a single IRS performs better in compact environments. 

Place, publisher, year, edition, pages
IEEE conference proceedings, 2024.
Keywords [en]
element sharing, energy efficiency, intelligent reflecting surface (IRS), practical phase-shift model, Single-input single-output (SISO)
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-52065DOI: 10.1109/WCNC57260.2024.10570759ISI: 001268569301091Scopus ID: 2-s2.0-85198835473ISBN: 9798350303582 (print)OAI: oai:DiVA.org:miun-52065DiVA, id: diva2:1887488
Conference
IEEE Wireless Communications and Networking Conference, WCNC
Available from: 2024-08-08 Created: 2024-08-08 Last updated: 2025-09-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Hassan, Syed-Ali

Search in DiVA

By author/editor
Hassan, Syed-Ali
By organisation
Department of Computer and Electrical Engineering (2023-)
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 156 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf