DocumentCode
1268606
Title
Brain-Inspired Dynamic Spectrum Management for Cognitive Radio Ad Hoc Networks
Author
Khozeimeh, Farhad ; Haykin, Simon
Author_Institution
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, ON, Canada
Volume
11
Issue
10
fYear
2012
fDate
10/1/2012 12:00:00 AM
Firstpage
3509
Lastpage
3517
Abstract
This paper introduces the self-organizing dynamic spectrum management (SO-DSM) for ad hoc cognitive radio (CR) networks. In this scheme, CR units try to exploit the primary networks´ unused bands by establishing links with neighbouring CRs using those bands. Inspired by human brain, the CRs extract and memorize the activity patterns of the primary network and other CRs and create temporal channel assignments on sub-bands with no recent primary user activities using a self-organizing maps (SOM) technique. The proposed scheme is decentralized and employs a simple learning rule with low complexity and minimal memory requirements. The simulation results show that SO-DSM significantly decreases the probability of collision with primary users and also probability of CR link interruption.
Keywords
ad hoc networks; channel allocation; cognitive radio; learning (artificial intelligence); probability; radio spectrum management; self-organising feature maps; telecommunication computing; CR link interruption; CR networks; SO-DSM; SOM technique; brain-inspired dynamic spectrum management; cognitive radio ad hoc networks; probability; probability of collision; self-organizing map technique; simple learning rule; temporal channel assignments; Ad hoc networks; Cognitive radio; Correlation; Hebbian theory; Neurons; Radio spectrum management; Cognitive radio; Hebbian learning; decentralized spectrum management; dynamic spectrum management; self-organizing systems;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2012.081312.111538
Filename
6276205
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