COSSAR

Cooperative Spectrum Sensing Algorithms for Cognitive Radio Networks

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 Obiettivo del progetto (Objective)

'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.'

Introduzione (Teaser)

There is a pressing need to develop a smarter system to allocate bandwidth to a number of wireless services so as to meet the growing demand for more space on the airwaves.

Descrizione progetto (Article)

Radio broadcasts, television signals and mobile communications have filled up the airwaves rapidly in recent years, prompting the need to overcome crowded bandwidths that hamper the growth of technology. Cognitive radio technology, which automatically detects and exploits available channels in the wireless spectrum, could help address this high-tech challenge. The technology relies on efficient spectrum sensing (SS) and primary user (PU) detection of cognitive radio networks (CRNs), representing two key challenges in this respect.

Against this backdrop, the EU-funded project 'Cooperative spectrum sensing algorithms for cognitive radio networks' (COSSAR) aims to overcome obstacles related to SS and PU detection. Researchers will investigate options to assist CRNs in detecting spectrum holes and exploiting underused frequency bands without interfering with PUs. More sophisticated methods will be required to capture the necessary information from the airways in order to streamline CRN operation.

To achieve its aims, the project team is developing advanced detection algorithms that can operate in various environments. They are working on improving the signals- estimation method using the concept of adaptive set-theoretic filters. Experiments conducted have already shown that the proposed solution was able to improve detection of desired spectrum holes and enhance cognitive radio technology.

Through this endeavour, the concept of cognitive radio could be the answer to maximising the utilisation of limited bandwidth. This will facilitate a rise in additional services and applications in wireless networks, encouraging technological growth and competitiveness. Communication and openness will prevail.