Performance evaluation of energy detection over extended generalised‐ composite fading channels

Alhennawi, Husam R.; Ismail, Mahmoud H.; Mourad, H.-A.M.

doi:10.1049/el.2014.1245

Cited by 10 publications

(5 citation statements)

References 9 publications

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“…In the same direction, the ED model was considered by Kostylev and Alouini over conventional & multipath fading channels with and without diversity combining like: Rayleigh, Nakagami-q and Nakagami-m [8]. The investigations of ED for SS over different communication circumstances are available in the literature [9][10].…”

Section: Introductionmentioning

confidence: 99%

ED-SS based Cognitive Radio (CR) over Various Fading Channels for Modern Wireless Communications

V. Soni

2024

jes

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Cognitive Radio (CR) has already been proved to provide the better solution for the problem of spectrum insufficiency in which every wireless system occupies the limited bandwidth spectrum (LBS) allotting to the licensed users. Sometimes, this LBS is empty in a certain place at a certain time that is called as spectrum holes estimated by spectrum sensing (SS). The spectrum sensing is the main technique used in cognitive radio and various spectrum sensing techniques are available in the literature such as: energy detection (ED), matched filter detection (MFD) and cyclo-stationary feature detection (CFD). In the present work, energy detection-spectrum sensing (ED-SS) based cognitive radio system has been implemented which can analyze the energy of the spectrum. The various fading channels such as additive white gaussian noise (AWGN), Rayleigh, and Nakagami have been incorporated in the present work over which the performance of cognitive radio has been analyzed and compared using the ED-SS technique. The experimental results show thatt the detection of the presence of primary user signal using proposed ED-SS technique is easier with low computational complexities in Cognitive Radio (CR) networks. The present work also demonstrates when the performance of proposed ED-SS technique over aforesaid three fading channels are compared, Nakagami-m fading channels exhibits superior improvement in Pd compared to Rayleigh and AWGN fading channels

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Section: Introductionmentioning

confidence: 99%

ED-SS based Cognitive Radio (CR) over Various Fading Channels for Modern Wireless Communications

V. Soni

2024

jes

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“…In Ref. [25] novel expressions have been derived over extended generalized K composite fading channels to provide an unified model for wireless communication channel statistics. Likewise, exact closed-form expressions of detection pattern over N*Rayleigh channels are derived with Meijer G-function and Marcum-Q function, then it is extended to the case of square-law selection (SLS) to achieve better performance than conventional detection over Rayleigh fading conditions.…”

Section: Introductionmentioning

confidence: 99%

Cooperative spectrum sensing over generalized fading channels based on energy detection

Huang

Yuan

2018

China Commun.

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This paper analyzes the unified performance of energy detection (ED) of spectrum sensing (SS) over generalized fading channels in cognitive radio (CR) networks. The detective performance of SS schemes will be obviously affected by fading channel among communication nodes, and ED has the advantages of fast implementation, no requirement of priori received information and low complexity, so it is meaningful to investigate ED that is performed over fading channels such as Nakagami-m channel and Rice channel, or generalized fading channels such as κ-μ fading distribution and η-μ fading distribution. The α-κ-μ fading distribution is a generalized fading model that represents the nonlinear and small-scale variation of fading channels. The probability density function (p.d.f.) of instantaneous signal-to-ratio (SNR) of α-κ-μ distribution is derived from the p.d.f. of envelope to evaluate energy efficiency for sensing systems. Next, the detection probability of detective model with Marcum-Q function has been derived and the close-form expressions with moment generating function (MGF) method are deduced to achieve SS. Furthermore, novel and exact closed-form analytic expressions for average area under the receiver operating characteristics curve ( AUC ) also have been deduced to analyze the performance characteristics of ED over α-κ-μ fading channels. Besides, cooperative spectrum sensing (CSS) with diversity reception has been applied to improve the detection accuracy and mitigate the shadowed fading features with OR-rule. At last, the results show that the detection capacity can be evidently affected by α-κ-μ fading conditions, but appropriate channel parameters will improve sensing performance. On the other hand, the established ED-fading pattern is approved by simulations under diversity combination with CSS at the receiving end and it can significantly enhance the detection performance of proposed algorithms.

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“…Thus, several works have been devoted to study the aforementioned scenario. For instance, the performance of ED in

K_{G}

fading channels with diversity reception and extended generalised K fading channels with single branch are given in [5,6]. The behaviour of ED over

κ - μ

shadowed fading which is recently proposed by Paris [7] as a composite

κ - μ

/gamma fading is studied in [8–10] by using different approaches for the performance metrics.…”

Section: Introductionmentioning

confidence: 99%

Analysis of energy detection with diversity receivers over non‐identically distributed κ − μ shadowed fading channels

Al‐Hmood

Al-Raweshidy

2017

Electron. lett.

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The performance of energy detection (ED) over κ − µ shadowed fading channel is analysed. The analysis is then extended to include the maximal ratio combining (MRC) and square law combining (SLC) schemes with non-identically distributed branches. Moreover, the analysis over κ − µ extreme shadowed fading channel, that is utilised to model the wireless communications scenarios in enclosed areas, is also investigated. To this end, exact closed-form analytic expressions of the average area under the receiver operating characteristics curve (AUC) are derived.

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Performance evaluation of energy detection over extended generalised‐ composite fading channels

Cited by 10 publications

References 9 publications

ED-SS based Cognitive Radio (CR) over Various Fading Channels for Modern Wireless Communications

ED-SS based Cognitive Radio (CR) over Various Fading Channels for Modern Wireless Communications

Cooperative spectrum sensing over generalized fading channels based on energy detection

Analysis of energy detection with diversity receivers over non‐identically distributed κ − μ shadowed fading channels

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