Channel Orthogonalization with Reconfigurable Surfaces
(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.
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- author
- Alegria, Juan Vidal LU and Rusek, Fredrik LU
- organization
- publishing date
- 2022
- 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}}, }