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
fDate :
10/1/2012 12:00:00 AM
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;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2012.081312.111538