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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Senadji, B. Chang, K. | 
| Copyright Year | 2013 | 
| Description | Author affiliation: Sci. & Eng. Fac., Queensland Univ. of Technol., Brisbane, QLD, Australia (Senadji, B.; Chang, K.) | 
| 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. | 
| Starting Page | 2301 | 
| Ending Page | 2305 | 
| File Size | 147400 | 
| Page Count | 5 | 
| File Format | |
| ISBN | 9781467362351 | 
| ISSN | 21669570 | 
| DOI | 10.1109/PIMRC.2013.6666528 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2013-09-08 | 
| Publisher Place | UK | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Resource management Cognitive radio Signal to noise ratio Computational modeling Detectors Optimization multi-channel sensing spectrum sensing cooperating spectrum sensing | 
| Content Type | Text | 
| Resource Type | Article | 
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