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Wideband spectrum sensing is a critical functionality in cognitive radio networks to enable dynamic spectrum sharing, but entails a major implementation challenge in compact commodity radios with restricted energy and computation capabilities. Exploiting jointly sparse nature of multiband signals, this paper proposes an efficient blind sub-Nyquist cooperative wideband spectrum sensing scheme, which...
Abstract-A max-min fairness resource allocation is studied for wideband cognitive radio under sensing-based spectrum sharing with simultaneous wireless information and power transfer. Specifically, the throughput of the worse-case secondary user is maximized by jointly optimizing the sensing time, transmit power and subchannel allocation, subject to constraints on energy harvesting, interference power...
This paper proposes an improved method for reconstructing wideband sparse spectrum. We utilize a multicoset setup based on time delay. The simple multicoset setup is more suitable for practical implementation in comparison to more sophisticated sub-Nyquist systems. We first introduce the general reconstruction model that solves for a fixed number of variables. We employ a simple machine learning technique...
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