Title :
Distributed Rule-Regulated Spectrum Sharing
Author :
Cao, Lili ; Zheng, Haitao
Author_Institution :
Univ. of California, Santa Barbara
Abstract :
Dynamic spectrum access is a promising technique to use spectrum efficiently. Without being restricted to any prefixed spectrum bands, nodes choose operating spectrum on-demand. Such flexibility, however, makes efficient and fair spectrum access in large-scale networks a great challenge. Prior work in this area focused on explicit coordination where nodes communicate with peers to modify local spectrum allocation, and may heavily stress the communication resource. In this paper, we introduce a distributed spectrum management architecture where nodes share spectrum resource fairly by making independent actions following spectrum rules. We present five spectrum rules to regulate node behavior and maximize system fairness and spectrum utilization, and analyze the associated complexity and overhead. We show analytically and experimentally that the proposed rule-based approach achieves similar performance with the explicit coordination approach, while significantly reducing communication cost.
Keywords :
cognitive radio; peer-to-peer computing; radio spectrum management; resource allocation; communication resource; distributed rule-regulated spectrum sharing; distributed spectrum management architecture; dynamic spectrum access; large-scale networks; local spectrum allocation; operating spectrum; spectrum resource; spectrum utilization; Cognitive radio; Collaborative work; Costs; Large-scale systems; Peer to peer computing; Performance analysis; Radio spectrum management; Resource management; Stress; Wireless sensor networks;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2008.080112