Cognitive radio for flexible mobile multimedia communications
Mobile Networks and Applications - Special issue on Mobile Multimedia Communications (MOMUC '99)
Cognitive Wireless Communication Networks
Cognitive Wireless Communication Networks
On minimum sensing error with spectrum sensing using counting rule in cognitive radio networks
Proceedings of the 4th Annual International Conference on Wireless Internet
Analysis of square-law combining for cognitive radios over Nakagami chananels
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
Fusion of censored decisions in wireless sensor networks
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
IEEE Transactions on Wireless Communications
A survey on spectrum management in cognitive radio networks
IEEE Communications Magazine
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Cooperative Spectrum Sensing Algorithm Based on Majority Decision Fusion
IMCCC '12 Proceedings of the 2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control
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Spectrum sensing is one of the most important tasks of each cognitive radio network. Cooperation among secondary users, by increasing the sensing accuracy can improve the network throughput, but also increases the energy consumption of cognitive radio network. In this paper, we propose the reliable data combining method for cooperative spectrum sensing, according to which the fusion center by using two threshold values, makes the final decision only if it is confident enough in validity of received local data. Otherwise, an additional sensing will be performed. Throughput maximization problems under interference constraints are formulated for both soft and hard fusion schemes and the optimal sensing time and threshold values are obtained. Simulations show that for all SNRs, higher absolute throughput and also higher throughput per energy consumption are accessible, rather than conventional cooperative sensing. Moreover, for a large range of SNRs the less energy is consumed.