Hypergaph-based model for coexistence management of heterogeneous wireless networks

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Abstract

raditional graph theory is typically used to model interference relations among networks to realise channel assignment that enables improvement in spectrum utilisation through spatial re-use of the channels. Studies have shown that spectrum utilisation could be further improved through co-sharing among networks that are capable of spectral coexistence as long as the channel load is not excessive. The co-sharing networks use their inherent media access control (MAC) techniques to coordinate access to a shared channel. However, the concept of an edge in a traditional graph, which is a two-element subset, is not sufficient to model subsets of potential co-sharing networks because such subsets may have cardinality of greater than 2. Instead, this paper proposes use of hypergraph theory to model the co-sharing strategy in an environment that comprises heterogeneous radio systems. The model could be applied in centralised coexistence management frameworks such as IEEE 802.19.1-based systems. Results demonstrate that spectrum sharing using the hypergraph model achieves higher average spectrum utilisation by up to 17.5% when there are 3 available channels, and requires up to 7 fewer channels to achieve, on average, 100% operational networks than spatial re-use alone.
Original languageEnglish
Title of host publication2021 Wireless Days (WD)
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages8
ISBN (Electronic)9781665425599
DOIs
Publication statusPublished - 30 Jun 2021
EventDNAC Wireless Days Conference - Paris, France
Duration: 30 Jun 20212 Jul 2021

Conference

ConferenceDNAC Wireless Days Conference
Abbreviated titleWD
Country/TerritoryFrance
CityParis
Period30/06/212/07/21

Keywords

  • coexistence management
  • television white space
  • hypergraph theory
  • radio resource allocation
  • spectral coexistence

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