Paper Info
Title
Hybrid Multi-Channel Cooperative Spectrum Sensing To Satisfy Channel Target
Abstract
Spectrum sensing of multiple primary user channels is a crucial function in cognitive radio networks. In this paper we propose an optimal, sensing resource allocation algorithm for multi-channel cooperative spectrum sensing. The channel target is implemented as an objective and constraint to ensure a pre-determined number of empty channels are detected for secondary user network operations. Based on primary user traffic parameters, we calculate the minimum number of primary user channels that must be sensed to satisfy the channel target. We implement a hybrid sensing structure by grouping secondary user nodes into clusters and assign each cluster to sense a different primary user channels. We then solve the resource allocation problem to find the optimal sensing configuration and node allocation to minimise sensing duration. Simulation results show that the proposed algorithm requires the shortest sensing duration to achieve the channel target compared to existing studies that require long sensing and cannot guarantee the target.
Year
DOI
Venue
2013
10.1109/PIMRC.2013.6666528
2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC)
Keywords
Field
DocType
Cognitive radio, spectrum sensing, cooperating spectrum sensing, multi-channel sensing
Detection theory,Resource allocation algorithm,Computer science,Computer network,Communication channel,Multi channel,Real-time computing,Network operations center,Resource allocation,Radio spectrum management,Cognitive radio
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Bouchra Senadji118620.93
Kevin Chang235521.42