Abstract
Rapid and accurate spectrum sensing is fundamental in realizing a reliable cognitive network. Cooperative spectrum sensing can help increasing sensing performance. However, when the number of cognitive users is large, the bandwidth need for the control channel that are used to report the secondary user node’s results to the fusion center may become extremely large. In this paper, we apply a sequential fusion in which the local sensing data will be sent according to its reliability order to fusion center and then will be combined based on Dempster Shafer theory of evidence. It is shown that the proposed scheme not only keeps the same sensing performance of non-sequential fusion scheme but also reduces the reporting time and bandwidth. It is showed that choosing the sensing threshold is a tradeoff between reporting numbers and sensing performance.
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Nguyen-Thanh, N., Insoo, K. (2010). A Sequential Cooperative Spectrum Sensing Scheme Based on Dempster Shafer Theory of Evidence. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_46
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DOI: https://doi.org/10.1007/978-3-642-14831-6_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14830-9
Online ISBN: 978-3-642-14831-6
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