IEEE Transactions on Computers
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Integration of Bayes detection with target tracking
IEEE Transactions on Signal Processing
Detection of stochastic processes
IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Location-aware cognitive sensing for maximizing network capacity
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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We study Bayesian detection based cognitive sensing and analyze its impact on the capacity in various cases of location information. In a network of one primary and one cognitive users, the cognitive transmitter relies on information about the locations of the primary transmitter and the two receivers to design its optimal sensing threshold. Results show that this location-aware threshold can significantly improve the cognitive user's capacity, while imposing almost no detrimental effect on the primary user's capacity. Combined with à priori knowledge of the primary transmission probability, the location information is shown to be beneficial to the cognitive user's capacity when the primary user is likely to be active. Without the knowledge of the primary transmission probability, location information is beneficial for all range of primary activity.