Distributed scheduling in multi-hop multi-band cognitive radio networks utilizing potential fields

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

A novel distributed scheduling method for minimizing packet routing delays in multi-hop multi-band cognitive radio networks is proposed. The proposed scheduling method exploits spectral awareness in the form of spatial potential fields that characterize sources of interference as repulsive forces and packet destinations as attractive forces. The proposed scheduling protocol operates in four phases, during which the secondary users exchange control information with their 1-hop neighbors. Extensive computer simulations in both static and dynamic environments are presented. The performance of the proposed algorithm is compared against its centralized counterpart as well as a distributed scheme using exponential backoff. The proposed method offers an excellent tradeoff between complexity and performance and is very suitable for large mobile cognitive networks.

Original languageEnglish
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherIEEE
Pages1-6
Number of pages6
Volume2017-July
ISBN (Electronic)9781509030088
ISBN (Print)9781509030101
DOIs
Publication statusPublished - 19 Dec 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Workshop on Signal Processing Advances in Wireless Communications - Sapporo, Japan
Duration: 3 Jul 20176 Jul 2017
Conference number: 18

Publication series

NameIEEE International Workshop on Signal Processing Advances in Wireless Communications
ISSN (Electronic)1948-3252

Workshop

WorkshopIEEE International Workshop on Signal Processing Advances in Wireless Communications
Abbreviated titleSPAWC
Country/TerritoryJapan
CitySapporo
Period03/07/201706/07/2017

Keywords

  • Cognitive radio
  • Distributed
  • Opportunistic spectrum access (OSA)
  • Potential field
  • Scheduling

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