Energy detection based spectrum sensing for gamma shadowed α–η–μ and α–κ–μ fading channels

Kumar, Sandeep; Kaur, Manpreet; Singh, Nitesh Kumar; Singh, Kulbir; Chauhan, Puspraj Singh

doi:10.1016/j.aeue.2018.05.031

Cited by 39 publications

(27 citation statements)

References 21 publications

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“…This makes sense since represents the multipath clustering and an increase in implies higher dominance of the LOS component. 19,26 Specifically, for P f = 0.75 and = 5 dB, when is increased from = 6 to = 8.5 with ( , ) = (0.75, 1.5) fixed, there is a 0.31% increase inP d . When ( , ) = (6, 1.5) is fixed and is incremented from 0.75 to 2.5, the system performance also increases by 0.43%.…”

Section: Numerical Experiments and Simulationsmentioning

confidence: 98%

“…Furthermore, there is a notable improvement in system performance as μ and/or κ are incremented. This makes sense since μ represents the multipath clustering and an increase in κ implies higher dominance of the LOS component . Specifically, for P f = 0.75 and

\overset{γ}{true} = 5

dB, when α is increased from α = 6 to α = 8.5 with ( κ , μ ) = (0.75,1.5) fixed, there is a 0.31% increase in

{\overset{P}{true}}_{d}

.…”

Section: Numerical Experiments and Simulationsmentioning

confidence: 99%

“…A comprehensive study of ED over nonlinear − and − -Extreme fading models is presented in the work of Sofotasios et al 15 For more details on ED-based spectrum sensing over cognitive radio communications, the reader is referred to two excellent surveys by Yucek and Arslan 16 and Akyildiz et al 17 The − − fading model and its variants were explored by a few authors in the literature. A unified performance evaluation of ED over − − and − − fading channels was considered in the works of Bhatt and Soni 18 and Kumar et al 19 Using a Bayesian framework, Gurugopinath and Shobitha 20 studied the performance of ED for spectrum sensing through an infinite series expression for the total error probability. Based on the generalized − − and − − fading models, the performance analysis of maximum eigenvalue-based detector (MED) for spectrum sensing was considered in the work of Samudhyatha et al 21 Using the moment generating function (MGF) approach, Huang and Yuan 22 derived expressions for the average probability of detection as well as the AUC for cooperative spectrum sensing (CSS) based on the − − distribution.…”

Section: Introductionmentioning

confidence: 99%

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An integrated performance evaluation of ED‐based spectrum sensing over α−κ−μ and α−κ−μ‐Extreme fading channels

Rasethuntsa

Kumar

2019

Trans Emerging Tel Tech

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This paper presents a comparative performance evaluation of energy detector (ED) under the assumption that the propagation signal experiences fading modeled by the nonlinear generalized α−κ−μ or α−κ−μ‐Extreme fading channels. Novel closed‐form analytical expressions for the average probability of detection and the average area under the receiver operating characteristic (ROC) curve (AUC) are derived in terms of the now highly prevalent bivariate Fox H‐function under single‐user spectrum sensing, cooperative spectrum sensing, and square law selection diversity reception. The results derived in the present work are generic as both channel models are compound distributions containing as special cases several other well‐known fading models such as the Nakagami‐m, Rice, the one‐sided Gaussian distribution, and the Weibull distribution, among others. The performance of ED is evaluated by employing the traditional ROC and AUC curves over additive white Gaussian noise by varying model parameters and observing system performances. Analytical results are verified via Monte Carlo simulations in MATLAB®.

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Section: Numerical Experiments and Simulationsmentioning

confidence: 98%

\overset{γ}{true} = 5

dB, when α is increased from α = 6 to α = 8.5 with ( κ , μ ) = (0.75,1.5) fixed, there is a 0.31% increase in

{\overset{P}{true}}_{d}

.…”

Section: Numerical Experiments and Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An integrated performance evaluation of ED‐based spectrum sensing over α−κ−μ and α−κ−μ‐Extreme fading channels

Rasethuntsa

Kumar

2019

Trans Emerging Tel Tech

Self Cite

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“…For sensing of the spectrum, there are many approaches available; among them, the energy detection (ED) technique is widely used. The ED does not prerequisite any former information of the signal, which is transmitted by PU and also has low computational complexity and cost . It basically works by simply relating the energy levels of the received signal to a predefined threshold value and then makes its judgment on whether the spectrum is available for communication by the SU or not.…”

Section: Introductionmentioning

confidence: 99%

“…17,18 Another alternative is in the form of Gamma distribution, which is simpler and also facilitates in deriving tractable closed-form expressions. [19][20][21] But while analyzing its composite behavior with more generalized fading models like α-μ, ɳ-μ, and κ-μ distributions, it fails to provide closed-form structures. [22][23][24] Regardless of clean and uncomplicated numerical representation, its PDF fails to follow the long-tail nature of that of lognormal at high standard deviations.…”

mentioning

confidence: 99%

Development of analytical model for energy detectors with SC and MRC diversity over Inverse‐Gamma fading

Maurya

Srivastava

Chauhan

et al. 2020

Int J Communication

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Summary An ever‐escalating demand for wireless applications has caused great concern for the proper exploitation of the accessible radio spectrum. Cognitive radio materializes as an auspicious remedy to the present‐day crisis of spectral congestion, by detecting the licensed primary user (PU). This is accomplished with the assistance of the spectrum sensing technique, which provides an indication of the presence of PU over the spectrum. Energy detection is one of the prevailing spectrum sensing techniques due to its low implementation complexity. In the present work, the performance of an energy detector (ED) over Inverse‐Gamma (I‐Gamma) fading distribution is examined. Initially, a closed‐form expression of the probability density function for I‐Gamma distribution with maximal ratio combining diversity reception is derived. Following it, an investigation of an ED‐based cognitive radio device is carried out in the form of the average probability of detection (PD) and average area under the receiver operating characteristic curve (AUC). In addition, we also present a performance analysis of an ED with selection combining diversity. Optimization of the detection threshold is also executed alongside the low signal‐to‐noise ratio analysis. In the end, the resulting expression of the PD is exploited to examine the functioning of cooperative spectrum sensing within the erroneous environment. The validation of derived mathematical forms has been confirmed by comparing it with the Monte‐Carlo simulation and exact numerical results.

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A corner truncated fractal slot ultrawide spectrum sensing antenna for wireless cognitive radio sensor network

Goswami

2020

Int J Communication

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Due to the scarcity of the radio frequency spectrum, the emergent network sharing technique elicits the efficient use of licensed unutilized spectrum.Here, an ultra-wideband (UWB) microstrip antenna is proposed for wireless cognitive radio sensor network (WCRSN). The antenna is uniquely designed for large spectrum scanning of channel vacancies in licensed frequency bands.Software-defined radios (SDR) govern the algorithmic controls on spectrum sensing and channel interface using an appropriate antenna. The antenna comprises the effects of fractal slot patch and electromagnetic bandgap (EBG) ground structures on 12 × 18 × 1.6 mm 3 FR4 (relative dielectric constant of 4.4) substrate. Circular polarization is achieved through corner truncation to make antenna orientation free in wireless sensing networks. The measured jS 11 j parameter offers 0.75-to 12-GHz wide spectrum sensing with 2.51-dBi average gain. The antenna is unique in compactness and includes lower edge bands of frequencies (0.75-3.1 GHz) along with UWB (3.1-12.0 GHz) for a very wide range scanning to utilize vacant channel opportunity in WCRSN through SDR. The proposed structure is experimented and validated for real-time wideband scanning of the frequency spectrum within the operating limit as per the allotted FCC standard.

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Energy detection based spectrum sensing for gamma shadowed α–η–μ and α–κ–μ fading channels

Cited by 39 publications

References 21 publications

An integrated performance evaluation of ED‐based spectrum sensing over α−κ−μ and α−κ−μ‐Extreme fading channels

An integrated performance evaluation of ED‐based spectrum sensing over α−κ−μ and α−κ−μ‐Extreme fading channels

Development of analytical model for energy detectors with SC and MRC diversity over Inverse‐Gamma fading

A corner truncated fractal slot ultrawide spectrum sensing antenna for wireless cognitive radio sensor network

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