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A Method to Enhance the Throughput of Cognitive Radio Network Using Kullback Leibler Divergence with Optimized Sensing Time (KLDOST)

  • 19-08-2019
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Abstract

Efficient, quick and reliable spectrum sensing in consonance with maximum throughput is required at the cognitive radios to achieve maximum utilization of the network. In cognitive radio environment, the intelligent secondary users shall effectively sense the presence of primary user signal to avoid interference, in order to achieve maximum operational feasibility. A cooperative sensing scheme using Kullback Leibler divergence with higher throughput and lower sensing time to avail and identify the underutilized frequency spectrum is presented in this paper. The optimized sensing scheme utilizes the log-likelihood ratio estimated at the secondary user during each sensing instance, with fusion centre acquiring and assimilating this information to estimate the likelihood of spectrum availability. The optimized scheme is implemented in a robust manner assuming the signal and noise are gaussian distributed. Simulation results highlighting the competitive edge of the proposed scheme, with higher throughput over various false alarm probability and signal to noise ratio are presented.

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Title
A Method to Enhance the Throughput of Cognitive Radio Network Using Kullback Leibler Divergence with Optimized Sensing Time (KLDOST)
Authors
Munisamy Manimegalai
M. A. Bhagyaveni
Publication date
19-08-2019
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2019
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06643-0
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