Research Article
Interference Reducing Networks
@INPROCEEDINGS{10.1109/CROWNCOM.2007.4549780, author={ James 0. Neel and Rekha Menon and Allen B. MacKenzie and Jeffrey H. Reed and Robert P. Gilles}, title={Interference Reducing Networks}, proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2008}, month={6}, keywords={Algorithm design and analysis Base stations Chromium Cognitive radio Collaboration Collaborative work Electronic mail Game theory Interference Space technology}, doi={10.1109/CROWNCOM.2007.4549780} }- James 0. Neel
Rekha Menon
Allen B. MacKenzie
Jeffrey H. Reed
Robert P. Gilles
Year: 2008
Interference Reducing Networks
CROWNCOM
IEEE
DOI: 10.1109/CROWNCOM.2007.4549780
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.