Nodes Number Estimation based on ML for Multi-operator Unlicensed Band Sharing to Extend Indoor Connectivity

Oluwatobi Baiyekusi, Haeyoung Lee, Klaus Moessner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Due to ever-increasing data and resource-hungry applications, the need for new spectrum by mobile networks keeps increasing. Unlicensed spectrum is still expected to play a crucial part in meeting the capacity demand for future mobile networks. But if this will be a reality, fair coexistence attained via practical and efficient channel access procedures would be necessary. In designing such channel access schemes, awareness of the number of nodes contending for the channel resource will be required. This paper investigates a node number estimation approach using channel idle time and analysed via machine learning (ML) techniques. When multiple nodes access the same unlicensed channel, varying idle times can be associated with a statistical distribution. In this paper, a statistical distribution of the idle-time slots over the channel is used to characterise and analyse the channel contention based on the number of nodes. Three ML model-based approaches are evaluated and the results confirm the proposed solution's viability but also reveal the best-performing ML technique of the three, for the task of node number estimations.

Original languageEnglish
Title of host publication2023 IEEE Wireless Communications and Networking Conference, WCNC 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781665491228
DOIs
Publication statusPublished - 12 May 2023
EventIEEE Wireless Communications and Networking Conference - Glasgow, Scotland, United Kingdom
Duration: 26 Mar 202329 Mar 2023
https://wcnc2023.ieee-wcnc.org/

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2023-March
ISSN (Print)1525-3511

Conference

ConferenceIEEE Wireless Communications and Networking Conference
Abbreviated titleWCNC
Country/TerritoryUnited Kingdom
CityScotland
Period26/03/2329/03/23
Internet address

Keywords

  • Coexistence
  • Machine learning
  • Node Number Estimation
  • Unlicensed band

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