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We study cooperative spectrum sensing in cognitive radio networks (CRN) using machine learning techniques in this paper. A low-dimensional probability vector is proposed as the feature vector for machine learning based classification, instead of the N-dimensional energy vector in a CRN with a single primary user (PU) and N secondary users (SUs). This proposed method down-converts a high-dimensional...
Building thermal response rates refer to those dynamic conditions when a building interior is not held in steady-state by the operation of its HVAC systems. A method is proposed and preliminary results demonstrated for using data available from the typical large-building Building Automation System (BAS) to automatically characterize temperature response rates at the zone level. The work described...
Cognitive Radio(CR) is a promising technology to fully utilize the constrained spectrum, and cooperative spectrum sharing in cognitive network is regarded as an important and challenging issue. This paper considers that primary user(PU) is willing to coexist with secondary users(SUs) once it is paid and its Signal to Interference-plus-Noise Ratio(SINR) is assured. Since the spectrum state is not deterministic,...
Dynamic spectrum access is an effective approach to improve the spectrum utilization. When primary user (PU) leases its spectrum to secondary users (SU), the spectrum efficiency can be enhanced, however, PU might be interfered by the co-existence of SU. This paper considers the situation that PU is willing to coexist with SU once it is paid and its Signal to Interference-plus-Noise Ratio (SINR) is...
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