A Hybrid Classical-Quantum Computing Framework for RIS-Assisted Wireless Network

Charles Ross, Gabriele Gradoni, Zhen Peng

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

Abstract

Recently, there has been a growing interest in employing reconfigurable intelligent surfaces (RISs) to improve the spectrum and energy efficiency of wireless networks. In RIS-Assisted wireless networks, channel estimation and optimization is a difficult task, particularly for nearly passive RIS devices with low-complexity hardware design. We have proposed a hybrid classical-quantum computing framework that allows for ultra-fast optimization adapting to multipath wireless environments. The onsite optimization of RIS configuration can be performed almost instantaneously using only feedback (received power) at wireless endpoints. The performance of the proposed work is demonstrated in representative wireless propagation scenarios.

Original languageEnglish (US)
Title of host publication2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-102
Number of pages4
ISBN (Electronic)9798350347401
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023 - Hybrid, Winnipeg, Canada
Duration: Jun 28 2023Jun 30 2023

Publication series

Name2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023

Conference

Conference2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, NEMO 2023
Country/TerritoryCanada
CityHybrid, Winnipeg
Period6/28/236/30/23

Keywords

  • 6G
  • Electromagnetic metamaterials
  • Ising model
  • quantum annealing
  • reconfigurable intelligent surface
  • wireless communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Mathematical Physics
  • Modeling and Simulation

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