RIS as a Network Resource: User Multiplexing and Pricing Algorithms

Reconfigurable Intelligent Surfaces (RIS) have the ability to actively control wave propagation through space, enabling the creation of Programmable Wireless Environments (PWEs). This capability allows for the uti-lization and control of previously unexploited resources. However, there is a notable gap in allocating these resources to network users in a way that aligns with the pricing policies of telecommunications stakeholders. This paper considers RIS elements as network resources and describes a pricing policy that links the PWE efficiency of individual users to an optimal method for sharing RIS elements. A specialized policy tailored to this purpose, is designed with a focus on robustness, ensuring its applicability across various RIS functionalities and frequency bands. Its computational efficiency further underscores its viability for deployment in practical scenarios.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/6gnet63182.2024.10765689
Citations
4
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
1.40
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article

RIS as a Network Resource: User Multiplexing and Pricing Algorithms

Kostas Katsalis, Antonios Lalas, Christos Liaskos, Konstantinos Votis et al.
4 citations
Optimization and Search Problems
1.40
article

RIS as a Network Resource: User Multiplexing and Pricing Algorithms

Kostas Katsalis, Antonios Lalas, Christos Liaskos, Konstantinos Votis, Stefan Schmid, Αλέξανδρος Παπαδόπουλος
article en
4 citations

Abstract

Reconfigurable Intelligent Surfaces (RIS) have the ability to actively control wave propagation through space, enabling the creation of Programmable Wireless Environments (PWEs). This capability allows for the uti-lization and control of previously unexploited resources. However, there is a notable gap in allocating these resources to network users in a way that aligns with the pricing policies of telecommunications stakeholders. This paper considers RIS elements as network resources and describes a pricing policy that links the PWE efficiency of individual users to an optimal method for sharing RIS elements. A specialized policy tailored to this purpose, is designed with a focus on robustness, ensuring its applicability across various RIS functionalities and frequency bands. Its computational efficiency further underscores its viability for deployment in practical scenarios.

University of Ioannina (GR), Aristotle University of Thessaloniki (GR), Information Technologies Institute (GR), Centre for Research and Technology Hellas (GR)
Openalex Percentile: Top 16%
Optimization and Search Problems
1.40
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RIS as a Network Resource: User Multiplexing and Pricing Algorithms — Kostas Katsalis, Antonios Lalas, et al. · (2024) | TGRS Research Map | TGRS