On the performance of energy detection for spectrum sensing in cognitive radio over Nakagami-lognormal composite channels

Shi, Qinghua

doi:10.1109/chinasip.2013.6625404

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…It is worth noting that a direct analysis of the ED performance in composite fading channels is rather tedious, since composite fading models can only be represented by infinite integrals. The probability of detection of the ED is derived over Nakagami-lognormal (NL) fading channels in [13]. However, the offered solution is not represented in closed form and the impact of fading and shadowing effects is investigated numerically.…”

Section: Introductionmentioning

confidence: 99%

Unified Analysis of Cooperative Spectrum Sensing Over Composite and Generalized Fading Channels

Hammadi

Alhussein

Sofotasios

et al. 2016

IEEE Trans. Veh. Technol.

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In this paper, we investigate the performance of cooperative spectrum sensing (CSS) with multiple antenna nodes over composite and generalized fading channels. We model the probability density function (PDF) of the signal-to-noise ratio (SNR) using the mixture gamma (MG) distribution. We then derive a generalized closed-form expression for the probability of energy detection, which can be used efficiently for generalized multipath as well as composite (multipath and shadowing) fading channels. The composite effect of fading and shadowing scenarios in CSS is mitigated by applying an optimal fusion rule that minimizes the total error rate (TER), where the optimal number of nodes is

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Section: Introductionmentioning

confidence: 99%

Unified Analysis of Cooperative Spectrum Sensing Over Composite and Generalized Fading Channels

Hammadi

Alhussein

Sofotasios

et al. 2016

IEEE Trans. Veh. Technol.

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“…In [37], i.i.d. L Nakagami-m lognormal composite 1 channel branches was investigated without and with SLC and SLS diversity, and MGF based approach was derived.…”

Section: Related Workmentioning

confidence: 99%

Multichannel spectrum sensing over correlated fading channels with diversity reception

Al-Juboori¹,

Fernando²

2022

Preprint

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Accurate detection of white spaces is crucial to protect primary user against interference with secondary user. Multipath fading and correlation among diversity branches represent essential challenges in Cognitive Radio Network Spectrum Sensing (CRNSS). This dissertation investigates the problem of correlation among multiple diversity receivers in wireless communications in the presence of multipath fading. The work of this dissertation falls into two folds, analysis and solution. In the analysis fold, this dissertation implements a unified approach of performance analysis for cognitive spectrum sensing. It considers a more realistic sensing scenario where non-independent multipath fading channels with diversity combining technique are assumed. Maximum Ratio Combining (MRC), Equal Gain Combining (EGC), Selection Combining (SC) and Selection and Stay Combining (SSC) techniques are employed. Arbitrarily, constant and exponentially dual, triple and L number of Nakagami-m correlated fading branches are investigated. We derive novel closed-form expressions for the average detection probability for each sensing scenario with simpler and more general alternative expressions. Our numerical analysis reveals the deterioration in detection probability due to correlation especially in deep fading. Consequently, an increase in the interference rate between the primary user and secondary user is observed by three times its rate when independent fading branches is assumed. However, results also show that this effect could be compensated for, through employing the appropriate diversity technique and by increasing the diversity branches. Therefore, we say that the correlation cannot be overlooked in deep fading, however in low fading can be ignored so as to reduce complexity and computation. Furthermore, at low fading, low false alarm probability and highly correlated environments, EGC which is simpler scheme performs as good as MRC which is a more complex scheme. Similar result are observed for SC and SSC. For the solution fold and towards combatting the correlation impact on the wireless systems, a decorrelator implementation at the receiver will be very beneficial. We propose such decorrelator scheme which would significantly alleviate the correlation effect. We derive closed-form expressions for the decorrelator receiver detection statistics including the Probability Density Function (PDF) from fundamental principles, considering dual antenna SC receiver in Nakagami-m fading channels. Numerical results show that the PDF of the bivariate difference could be perfectly represented by a semi-standard normal distribution with zero mean and constant variance depending on the bivariate's parameters. This observation would significantly help simplifying the design of decorrelator receiver. The derived statistics can be used in the problem of self-interference for multicarrier systems. Results also show the outage probability has been improved by double, due to the decorrelator.

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“…In this context, the ED performance over multipath fading channels, such as Rayleigh, Rician, and Nakagamim was analyzed in [14], and [15], respectively, whereas the corresponding performance over the more generalized κ − µ and κ − µ extreme fading channels was investigated in [16]. However, in addition to multipath fading, in most scenarios, the received signal is also degraded by shadowing effects since it has been shown that multipath and shadowing effects typically occur simultaneously [17]. Therefore, it is evident that there is an undoubted necessity to quantify and analyze the CR performance over composite multipath/shadowing fading channels [18].…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, it has been shown that such an analysis is particularly tedious, since composite fading models can only be represented by cumbersome, if not intractable, infinite integrals. For example, the probability of detection of the ED based spectrum sensing over Nakagami-lognormal (NL) fading channels was addressed in [17]; yet, the offered solution is semi-analytic, as it is not represented in closed form, while the impact of fading and shadowing effects is evaluated numerically. Based on this, several alternative models that characterize the composite fading channels have been shown to provide simplified performance analysis for the CR networks.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of energy detection over mixture gamma based fading channels with diversity reception

Alhussein

Hammadi

Sofotasios

et al. 2015

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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The present paper is devoted to the evaluation of energy detection based spectrum sensing over different multipath fading and shadowing conditions. This is realized by means of a unified and versatile approach that is based on the particularly flexible mixture gamma distribution. To this end, novel analytic expressions are firstly derived for the probability of detection over MG fading channels for the conventional single-channel communication scenario. These expressions are subsequently employed in deriving closed-form expressions for the case of squarelaw combining and square-law selection diversity methods. The validity of the offered expressions is verified through comparisons with results from respective computer simulations. Furthermore, they are employed in analyzing the performance of energy detection over multipath fading, shadowing and composite fading conditions, which provides useful insighs on the performance and design of future cognitive radio based communication systems.

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On the performance of energy detection for spectrum sensing in cognitive radio over Nakagami-lognormal composite channels

Cited by 6 publications

References 18 publications

Unified Analysis of Cooperative Spectrum Sensing Over Composite and Generalized Fading Channels

Unified Analysis of Cooperative Spectrum Sensing Over Composite and Generalized Fading Channels

Multichannel spectrum sensing over correlated fading channels with diversity reception

Performance analysis of energy detection over mixture gamma based fading channels with diversity reception

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