A Cluster-Based Cooperative Spectrum Sensing in Cognitive Radio Network Using Eigenvalue Detection Technique with Superposition Approach

Cognitive radio (CR) networks have been active area of research because of its ability to opportunistically share the spectrum. A cluster-based cooperative spectrum sensing (CCSS) has a tremendous impact on sensing reliability compared with cooperative spectrum sensing. The energy detection (ED) tec...

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Bibliographic Details
Published in:International journal of distributed sensor networks 2015-01, Vol.2015 (7), p.207935
Main Authors: Miah, Md. Sipon, Yu, Heejung, Godder, Tapan Kumar, Rahman, Md. Mahbubur
Format: Article
Language:English
Subjects:
Allocations
Channels
Clustering (Computers)
Cognitive radio
Communication
Detection
Eigenvalues
Engineering research
False alarms
Methods
Networks
Noise
Probability
Reporting
Sensors
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Summary:Cognitive radio (CR) networks have been active area of research because of its ability to opportunistically share the spectrum. A cluster-based cooperative spectrum sensing (CCSS) has a tremendous impact on sensing reliability compared with cooperative spectrum sensing. The energy detection (ED) technique requires perfect knowledge of noise power. An eigenvalue-based spectrum sensing has mitigated the noise uncertainty problem. Sensing and reporting time slots are rigidly separated in the conventional ED and eigenvalue-based detection (EVD) schemes. In CCSS, more reporting time slots are required as the number of CR users (CRUs) increases. If the reporting time slots of other CRUs as sensing time slots with a superposition allocation, the more reliable channel sensing can be achieved. In this paper, we propose CCSS using EVD technique with a superposition approach scheme where the reporting time slot is properly utilized to sense the primary user’s (PU’s) signal more accurately by rescheduling the reporting time slot for CRUs and cluster heads (CHs). Simulation result shows that the proposed EVD scheme has better detection probability than the conventional CCSS using both ED and EVD techniques.
ISSN:1550-1329
1550-1477
1550-1477
DOI:10.1155/2015/207935