Enhancing Dynamic Spectrum Access in Wireless Mesh Networks: Integrated Sensing and Channel Assignment

This study advances Channel Assignment (CA) strategies in wireless mesh networks that integrate Wi-Fi with Dynamic Spectrum Access (DSA). We propose critical modifications to the IEEE 802.11 standard to enhance spectrum sensing data reporting, which is crucial for efficient network resource management. Specifically, we introduce two novel measurement types – avgSINR and SINRCI – and detail their integration into network protocols to optimise CA. Furthermore, we outline robust procedures for the dynamic distribution and adjustment of CAs, ensuring rapid network adaptation. Our findings demonstrate that the network can rapidly converge on a new CA within 10 minutes, even in extensive networks comprising 100 nodes, thereby significantly enhancing operational efficiency and spectrum utilisation.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/c2i663243.2024.10894964
Primary Topic
Cooperative Communication and Network Coding
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Dynamic Spectrum Access in Wireless Mesh Networks: Integrated Sensing and Channel Assignment

Natasha Zlobinsky, Albert A. Lysko
Cooperative Communication and Network Coding
article

Enhancing Dynamic Spectrum Access in Wireless Mesh Networks: Integrated Sensing and Channel Assignment

Natasha Zlobinsky, Albert A. Lysko
article en

Abstract

This study advances Channel Assignment (CA) strategies in wireless mesh networks that integrate Wi-Fi with Dynamic Spectrum Access (DSA). We propose critical modifications to the IEEE 802.11 standard to enhance spectrum sensing data reporting, which is crucial for efficient network resource management. Specifically, we introduce two novel measurement types – avgSINR and SINRCI – and detail their integration into network protocols to optimise CA. Furthermore, we outline robust procedures for the dynamic distribution and adjustment of CAs, ensuring rapid network adaptation. Our findings demonstrate that the network can rapidly converge on a new CA within 10 minutes, even in extensive networks comprising 100 nodes, thereby significantly enhancing operational efficiency and spectrum utilisation.

University of Cape Town (ZA), Council for Scientific and Industrial Research (ZA)
Affordable and clean energy
Openalex Percentile: Top 67%
Cooperative Communication and Network Coding
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