2015
DOI: 10.1007/s11277-015-2550-8
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On Optimal Threshold Selection in Cooperative Spectrum Sensing for Cognitive Radio Networks: An Energy Detection Approach Using Fuzzy Entropy Maximization

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Cited by 7 publications
(9 citation statements)
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“…The authors divide their work in two sections; the monitoring section to obtain the received signal strength and the controlling section to evaluate the obtained result to declare SU presence or absence. For sensing process, an energy detection algorithm [84] is used that compares the received signal's energy with a properly set threshold. If energy is more than the threshold, then the arrival of PU is declared.…”
Section: Reactive Handoff Schemesmentioning
confidence: 99%
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“…The authors divide their work in two sections; the monitoring section to obtain the received signal strength and the controlling section to evaluate the obtained result to declare SU presence or absence. For sensing process, an energy detection algorithm [84] is used that compares the received signal's energy with a properly set threshold. If energy is more than the threshold, then the arrival of PU is declared.…”
Section: Reactive Handoff Schemesmentioning
confidence: 99%
“…We tried to address these limitations in our recent work published in [94]. We apply energy detection sensing [84] to sense PU arrivals (this type of sensing is less complex in implementation [13]). In case of performing a handoff, the data delivery time [87] for proactive and reactive handoff decisions is calculated and the scheme with minimum data delivery time is applied for proper handoff function.…”
Section: Adaptive Solutionsmentioning
confidence: 99%
“…In all the other cases, the design goal (weighting factor α) should be modified and adjusted to its dynamic environment according to (16).…”
Section: Threshold Determination and Dynamic Adaptationmentioning
confidence: 99%
“…Exact closed-form expression for the optimal detection threshold for different receiver diversity systems was derived in [15]. Improved reliability with multiple threshold values determination by using fuzzy entropy maximization was suggested in [16]. In [17], authors propose an algorithm for energy detection threshold adaptation assuming that the noise power is completely known at the cognitive user.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, a primary user traffic pattern-based opportunistic spectrum handoff (PUTPOSH) scheme is presented. It permits a CRU to sense the PU's traffic through energy-efficient sensing [15][16][17] and then adopt a proactive or reactive handoff strategy according to the interarrival rate. PUTPOSH is comprised of three modules: (1) spectrum sensing, (2) spectrum mobility management, and (3) spectrum handoff decision.…”
Section: Introductionmentioning
confidence: 99%