2015
DOI: 10.1049/iet-com.2014.1170
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Joint spectrum sensing for detection of primary users using cognitive relays with evolutionary computing

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Cited by 8 publications
(5 citation statements)
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“…For this purpose, each CFBS communicates with FC via a reporting channel, which is assumed to be error‐free for transmission of sensing results. The technique proposed in [21] will be employed for decision fusion since it proved to give the best results. For this purpose, FC assigns a weight to each j th CFBS based on its calculated MSE and CCE.…”
Section: Detection and Estimation Schemementioning
confidence: 99%
See 1 more Smart Citation
“…For this purpose, each CFBS communicates with FC via a reporting channel, which is assumed to be error‐free for transmission of sensing results. The technique proposed in [21] will be employed for decision fusion since it proved to give the best results. For this purpose, FC assigns a weight to each j th CFBS based on its calculated MSE and CCE.…”
Section: Detection and Estimation Schemementioning
confidence: 99%
“…The work done by Aisha et al . [20] for detection and parameters’ estimation of active primary femtocell networks (PFNs) using a single uniform linear array (ULA) has been extended in this study by applying our acknowledged detection and estimation technique [21]. The basic algorithm for detection of a number of active PFNs through ULA is kept the same as previously proposed [22], because of its proven high accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…For the optimum estimation of the abovementioned parameters, we have used GA hybridised with PS. GA has been broadly used for solving the optimisation problems in communication and array signal processing because of its simplicity, reliability, ease of implementation and lesser probability of being trapped in local minima [21]. An initial population of solutions (chromosomes) is combined to make fitter solutions.…”
Section: Proposed Algorithmmentioning
confidence: 99%
“…In reference [14], a node selection method based on reinforcement learning is proposed, which enhances the perceptual performance obtained by selecting different nodes several times. In reference [15], a reinforcement learning algorithm is proposed to learn the behavior of nodes and track the fitness value of cooperative nodes in real-time. If the fitness value of a node changes abruptly, the sensing operation will be recorded and stopped.…”
Section: Introductionmentioning
confidence: 99%