Optimal, Low-Complexity Beamforming for Discrete Phase Reconfigurable Intelligent Surfaces

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

232 Downloads (Pure)

Abstract

Reflective reconfigurable intelligent surface (RIS) technology is regarded as an innovative, cost- and power-effective solution that aims at influencing the wireless channel through controlled scattering. The technology can be realized by using metamaterials and/or resonant elements that scatter electromagnetic waves with a configurable phase shift. Most of the previous work on beamforming techniques for RIS assumes ideal hardware and, thus, continuous phase shifts. However, hardware constraints limit the phase shift resolution, manifested into the amount of discrete phase shifts that can be configured into each RIS element. This paper aims to offer a discrete phase shift beamforming algorithm for reflective RISs that targets minimization of the quantization error resulting from discretization of continuous phase shifts. The beamforming solution proves to be optimal under perfect channel knowledge for any discrete set of uniformly distributed phase shifts. The required complexity to find the optimal beamforming vector for our approach is found to be linear with the number of RIS elements, the minimum needed to obtain optimal results. Simulated behavior is validated by measurements, showing robustness against angle misalignments and distance variations.
Original languageEnglish
Title of host publication2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)978-172818104-2
DOIs
Publication statusPublished - 2021 Dec 8
EventIEEE Global Communications Conference, GLOBECOM 2021 - Madrid, Spain
Duration: 2021 Dec 72021 Dec 11

Conference

ConferenceIEEE Global Communications Conference, GLOBECOM 2021
Country/TerritorySpain
CityMadrid
Period2021/12/072021/12/11

Subject classification (UKÄ)

  • Telecommunications

Keywords

  • reconfigurable intelligent surface
  • low complexity
  • passive beamforming
  • optimal beamforming
  • discrete phase shifts
  • quantization error
  • experimental validation

Fingerprint

Dive into the research topics of 'Optimal, Low-Complexity Beamforming for Discrete Phase Reconfigurable Intelligent Surfaces'. Together they form a unique fingerprint.

Cite this