Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Channel Orthogonalization with Reconfigurable Surfaces

Alegria, Juan Vidal LU orcid and Rusek, Fredrik LU (2022) 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 In 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings p.37-42
Abstract

Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to adjust the phases of the incoming waves. However, it is still widely unclear how these surfaces can improve spatial-multiplexing. In fact, the common RIS model cannot achieve perfect orthogonalization of MU-MIMO channels with a reasonable number of elements. Furthermore, efficient channel estimation algorithms for RIS, which are key for taking... (More)

Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to adjust the phases of the incoming waves. However, it is still widely unclear how these surfaces can improve spatial-multiplexing. In fact, the common RIS model cannot achieve perfect orthogonalization of MU-MIMO channels with a reasonable number of elements. Furthermore, efficient channel estimation algorithms for RIS, which are key for taking advantage of its benefits, are still a matter of research. We study two types of reconfigurable surfaces (RSs), namely amplitude-reconfigurable intelligent surface (ARIS) and fully-reconfigurable intelligent surface (FRIS), with extended capabilities over RIS. We show how these RSs allow for perfect channel orthogonalization, and, by minimizing the applied power, we show that they can potentially be implemented without the need of amplification. We also present an efficient channel estimation method for each of them that allows the base station (BS) to select the desired propagation channel.

(Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Amplitude-reconfigurable intelligent surface (ARIS), channel orthogonalization, Fully-reconfigurable intelligent surface, MU-MIMO, Reconfigurable intelligent surface (RIS), Reconfigurable surface (RS)
host publication
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
series title
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022
conference location
Virtual, Online, Brazil
conference dates
2022-12-04 - 2022-12-08
external identifiers
  • scopus:85146839064
ISBN
9781665459754
DOI
10.1109/GCWkshps56602.2022.10008751
language
English
LU publication?
yes
id
60aa3a2e-9986-4685-9752-21d09786c94f
date added to LUP
2023-02-15 14:44:28
date last changed
2023-11-21 16:24:35
@inproceedings{60aa3a2e-9986-4685-9752-21d09786c94f,
  abstract     = {{<p>Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to adjust the phases of the incoming waves. However, it is still widely unclear how these surfaces can improve spatial-multiplexing. In fact, the common RIS model cannot achieve perfect orthogonalization of MU-MIMO channels with a reasonable number of elements. Furthermore, efficient channel estimation algorithms for RIS, which are key for taking advantage of its benefits, are still a matter of research. We study two types of reconfigurable surfaces (RSs), namely amplitude-reconfigurable intelligent surface (ARIS) and fully-reconfigurable intelligent surface (FRIS), with extended capabilities over RIS. We show how these RSs allow for perfect channel orthogonalization, and, by minimizing the applied power, we show that they can potentially be implemented without the need of amplification. We also present an efficient channel estimation method for each of them that allows the base station (BS) to select the desired propagation channel.</p>}},
  author       = {{Alegria, Juan Vidal and Rusek, Fredrik}},
  booktitle    = {{2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings}},
  isbn         = {{9781665459754}},
  keywords     = {{Amplitude-reconfigurable intelligent surface (ARIS); channel orthogonalization; Fully-reconfigurable intelligent surface; MU-MIMO; Reconfigurable intelligent surface (RIS); Reconfigurable surface (RS)}},
  language     = {{eng}},
  pages        = {{37--42}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings}},
  title        = {{Channel Orthogonalization with Reconfigurable Surfaces}},
  url          = {{http://dx.doi.org/10.1109/GCWkshps56602.2022.10008751}},
  doi          = {{10.1109/GCWkshps56602.2022.10008751}},
  year         = {{2022}},
}