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A Centralized PSD Map Construction by Distributed Compressive Sensing
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DOI：10.1109/LCOMM.2015.2391265.png)
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Abstract
En 中文
In the context of spectrum reusing in Cognitive Radio (CR) networks, spectrum availability should be considered with respect to both space and frequency in making the Power Spectral Density (PSD) map concept. For this reason, the sensed PSDs by the distributed sensors in the area are collected and fused by a fusion center (FC). But, for a given zone, the sensed PSD by neighbor CR sensors may contain a shared common component for a while, and this component can be exploited in the theory of the distributed source coding to compress as much as possible. For this reason, distributed compressive sensing (DCS) methods are used here to exploit the correlation between PSDs and compress them more and reduce this type of overhead traffic. The proposed method can be used to develop a framework when the holding time of the users is large in comparison with the rate of the spectrum sensing.
Keywords:
Cognitive radio
spectrum sensing
PSD map
compressive sensing
distributed source coding
joint sparsity model
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