Cooperative Spectrum Sensing Algorithms for Cognitive Radio Networks, i.e. COSSAR proposal addresses the major drawbacks of the current cooperative spectrum sensing (CSS) models and techniques. COSSAR, incorporating concerns of practical applications, such as detection algorithms that are able to operate in various environments and a comprehensive communication model that will represent the reality, will produce a comprehensive view of the mechanics and capabilities of CSS and cognitive radio networks (CRNs). COSSAR will open new possibilities and directions for applications and implementations of CRNs by addressing the cognitive base station (CBS) bottleneck. In turn, new research fields will emerge thanks to the results and the outlook of the research outlined in this proposal. Specifically, the drawbacks of the current CSS methods will be addressed by accomplishing the following tasks: 1. Robust Spectrum Detection Algorithms 2. Comprehensive and Realistic Spectrum Sensing Models 3. In-Network Cooperative Spectrum Sensing 4. Implementation and Practical Verification The focus of COSSAR is on the development and rigorous analysis of robust spectrum detectors, the generalization of the CSS communication model, integration of the robust local spectrum detectors and development of robust and optimal CBS fusion functions, design of optimal scarce resource distribution, and finally development of fully distributed in-network CSS algorithms for future applications envisioned for CRNs. The developed computationally efficient cooperative spectrum sensing algorithms will be implemented on flexible hardware platform and experimentally tested under realistic application scenarios.
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