Performance of SC Receiver over TWDP Fading Channels

Subadar, Rupaban; Singh, Aheibam Dinamani

doi:10.1109/wcl.2013.13.120778

Cited by 41 publications

(10 citation statements)

References 10 publications

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“…The threshold value is set at 3dB. It is observed that for a constant value of M=2, the performance improves with the increase in the number of SC branches, L. This is due to the fact that as the number of diversity branches increases, the probability of all the fading paths going to deep fade decreases [13]. Similar observation is found in the case with dual SC hybrid receiver.…”

Section: Numerical Results and Discussionsupporting

confidence: 52%

Performance of a hybrid MRC/SC diversity receiver over Rayleigh fading channel

Dinamani

Das

Bijendra

et al. 2013

2013 International Conference on Circuits, Controls and Communications (CCUBE)

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Diversity Combining techniques have been of great importance as far as improvising of performance is concerned in wireless communication. In this paper, a new hybrid diversity scheme has been proposed for Rayleigh fading channel in which L number of maximal ratio combining (MRC) receiver, each MRC combiner having M branches at its input, are selection combined to obtain the final output at the receiver. Various performance measures are calculated and are simulated to obtain the graphical comparisons.

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Section: Numerical Results and Discussionsupporting

confidence: 52%

Performance of a hybrid MRC/SC diversity receiver over Rayleigh fading channel

Dinamani

Das

Bijendra

et al. 2013

2013 International Conference on Circuits, Controls and Communications (CCUBE)

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“…Given the PDF of the envelope over a TWDP fading channel in (6) and that γ =γ/2σ 2 (K + 1), the corresponding PDF of the SNR can be obtained by performing a squared transformation of the random variable r, in (6) [20]. Formally,…”

Section: B Twdp Fading Modelmentioning

confidence: 99%

Energy Detection based Spectrum Sensing over Two-wave and Diffuse Power Fading Channels

Chatziantoniou

Allen

Velisavljević

et al. 2016

IEEE Trans. Veh. Technol.

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(2017) Energy detection based spectrum sensing over two-wave and diffuse power fading channels. IEEE Transactions on Vehicular Technology, 66(1), pp. 868-874. (doi:10.1109868-874. (doi:10. /TVT.2016 This is the author's final accepted version.There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it. Abstract-One of the most important factors that affects the performance of energy detection (ED) is the fading channel between the wireless nodes. This article investigates the performance of ED-based spectrum sensing, for cognitive radio (CR), over two-wave with diffuse power (TWDP) fading channels. The TWDP fading model characterizes a variety of fading channels, including well-known canonical fading distributions, such as Rayleigh and Rician, as well as worse than Rayleigh fading conditions modeled by the two-ray fading model. Novel analytic expressions for the average probability of detection over TWDP fading that account for single-user and cooperative spectrum sensing as well as square law selection diversity reception are derived. These expressions are used to analyze the behavior of EDbased spectrum sensing over moderate, severe and extreme fading conditions, and to investigate the use of cooperation and diversity as a means of mitigating the fading effects. The obtained results indicate that TWDP fading conditions can significantly degrade the sensing performance; however, it is shown that detection performance can be improved when cooperation and diversity are employed. The presented outcomes enable identifying the limits of ED-based spectrum sensing and quantifying the tradeoffs between detection performance and energy efficiency for cognitive radio systems deployed within confined environments such as in-vehicular wireless networks.

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“…Second, the relative strength of the two specular waves is expressed as ∆ = 2V 1 V 2 /(V 2 1 + V 2 2 ). According to [7], the probability density function (PDF) of the signal-to-noise ratio (SNR) over a TWDP channel is expressed as,…”

Section: Spectrum Sensing Over Twdp Fading Channelsmentioning

confidence: 99%

Threshold Optimization for Energy Detection-Based Spectrum Sensing Over Hyper-Rayleigh Fading Channels

2015

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Spectrum sensing is a key function of cognitive radio systems. Sensing performance is determined by three main factors including the wireless channel between the primary system and the cognitive radio nodes, the detection threshold, and the sensing time. In this letter a closed-form expression for the average probability of detection for energy detection based spectrum sensing over two-wave with diffuse power fading channels is derived. This expression is then used to optimize the detection threshold for cognitive radio nodes, which operate in confined structures that exhibit worse than Rayleigh fading conditions. Such fading conditions can represent a behavioral model of cognitive machine-to-machine systems deployed in enclosed structures such as in-vehicular environments.

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Performance of SC Receiver over TWDP Fading Channels

Cited by 41 publications

References 10 publications

Performance of a hybrid MRC/SC diversity receiver over Rayleigh fading channel

Performance of a hybrid MRC/SC diversity receiver over Rayleigh fading channel

Energy Detection based Spectrum Sensing over Two-wave and Diffuse Power Fading Channels

Threshold Optimization for Energy Detection-Based Spectrum Sensing Over Hyper-Rayleigh Fading Channels

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