Development and Assessment of Resource Management Solutions for Throughput Enhancement in a RIS-aided Mobile Network

Conference Paper (2024)
Author(s)

Sakshi Agarwal (TNO)

Kallol Das (TNO)

Remco Litjens (TNO, TU Delft - Network Architectures and Services)

Research Group
Network Architectures and Services
DOI related publication
https://doi.org/10.1109/EuCNC/6GSummit60053.2024.10597054
More Info
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Publication Year
2024
Language
English
Research Group
Network Architectures and Services
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
ISBN (electronic)
9798350344998
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Abstract

Reconfigurable Intelligent Surfaces (RIS) stand out among the key technologies driving 6G mobile network development. In this paper, we develop and assess radio resource management solutions aimed to exploit the potential of RIS deployments for coverage and throughput enhancement for indoor users in 6G mobile networks. We introduce two heuristic algorithms that jointly control the cell-RIS-user association, user scheduling, transmit beamforming and the RIS's reflective configuration, and compare these algorithms against a RIS-free benchmark. Simulation results are presented to (i) demonstrate the promising potential of RIS deployments in multi-cell/multi-user scenarios; (ii) reveal the inherent trade-off between coverage and throughput enhancement; and (iii) show the performance impact of distinct RIS deployment locations. Our study provides valuable insights for efficiently leveraging RIS in evolving mobile network architectures.

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