Interference reducing networks

James O. Neel, Rekha Menon, Allen B. MacKenzie, Jeffrey H. Reed, Robert P. Gilles

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

14 Citations (Scopus)

Abstract

When cognitive radios operate in a network, each link's adaptations impact the decisions of other cognitive radios which spawns an interactive decision processes. The existence of these interactive processes could potentially limit the deployment of cognitive radios as it is difficult to guarantee that the resulting behavior will avoid a tragedy of the commons, much less provide optimal performance. This paper proposes a novel design framework that ensures that cognitive radio interactions are beneficial and reduce sum network interference with each adaptation. Five different approaches to implementing algorithms that satisfy this framework are presented - two of which rely on collaboration and three which permit autonomous adaptations.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom
Pages96-104
Number of pages9
DOIs
Publication statusPublished - 01 Dec 2007
Externally publishedYes
Event2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom - Orlando, United States
Duration: 01 Aug 200703 Aug 2007

Publication series

NameProceedings of the 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom

Conference

Conference2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CrownCom
Country/TerritoryUnited States
CityOrlando
Period01/08/200703/08/2007

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Communication

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