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  5. Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks

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Preprint
English
2024

Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks

0 Datasets

0 Files

English
2024
arXiv (Cornell University)
DOI: 10.48550/arxiv.2408.15867

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Matti Latva-aho
Matti Latva-aho

University Of Oulu

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Mehdi Monemi
Mehdi Rasti
Arthur S. de Sena
+3 more

Abstract

Reconfigurable intelligent surfaces (RISs) have been introduced as arrays of nearly passive elements with software-tunable electromagnetic properties to dynamically manipulate the reflection/transmission of radio signals. Research works in this area are focused on two applications, namely {\it user-assist} RIS aiming at tuning the RIS to enhance the quality-of-service (QoS) of target users, and the {\it malicious} RIS aiming for an attacker to degrade the QoS at victim receivers through generating {\it intended} destructive interference. While both user-assist and malicious RIS applications have been explored extensively, the impact of RIS deployments on imposing {\it unintended} interference on various wireless user-equipments (EUs) remains underexplored. This paper investigates the challenges of integrating RISs into multi-carrier, multi-user, and multi-operator networks. We discuss how RIS deployments intended to benefit specific users can negatively impact other users served at various carrier frequencies through different network operators. While not an ideal solution, we discuss how ultra-narrowband metasurfaces can be incorporated into the manufacturing of RISs to mitigate some challenges of RIS deployment in wireless networks. We also present a simulation scenario to illuminate some practical challenges associated with the deployment of RISs in shared public environments.

How to cite this publication

Mehdi Monemi, Mehdi Rasti, Arthur S. de Sena, Mohammad Amir Fallah, Matti Latva-aho, Marco Di Renzo (2024). Practical Challenges for Reliable RIS Deployment in Heterogeneous Multi-Operator Multi-Band Networks. arXiv (Cornell University), DOI: 10.48550/arxiv.2408.15867.

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Publication Details

Type

Preprint

Year

2024

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

arXiv (Cornell University)

DOI

10.48550/arxiv.2408.15867

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