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DC Field | Value | Language |
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dc.contributor.author | Zafaruddin, S.M. | - |
dc.date.accessioned | 2023-03-28T06:07:00Z | - |
dc.date.available | 2023-03-28T06:07:00Z | - |
dc.date.issued | 2022-11 | - |
dc.identifier.uri | https://arxiv.org/abs/2211.07432 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9996 | - |
dc.description.abstract | The α-η-κ-μ is one of the most generalized and flexible channel models having an excellent fit to experimental data from diverse propagation environments. The existing statistical results on the envelope of α-η-κ-μ model contain an infinite series involving regularized hypergeometric function and generalized Laguerre polynomial, prohibiting its widespread application in the performance analysis of wireless systems. In this paper, we employ a novel approach to derive density and distribution functions of the envelope of the α-η-κ-μ fading channel without an infinite series approximation. The derived statistical results are presented using a single Fox's H-function for tractable performance analysis and efficient numerical computations, especially for high-frequency mmWave and terahertz wireless transmissions. To gain insight into the distribution of channel envelope, we develop an asymptotic analysis using a more straightforward Gamma function converging to the exact within a reasonable range of channel parameters. To further substantiate the proposed analysis, we present the exact outage probability and average bit-error-rate (BER) performance of a wireless link subjected to the α-η-κ-μ fading model using a single tri-variate Fox's H-function. We obtain the diversity order of the system by analyzing the outage probability at a high signal-to-noise (SNR) ratio. We use numerical and simulation analysis to demonstrate the significance of the developed statistical results compared with the existing infinite series representation for the envelope of the α-η-κ-μ model. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ARXIV | en_US |
dc.subject | EEE | en_US |
dc.subject | Information Theory (cs.IT) | en_US |
dc.subject | Signal Processing (eess.SP) | en_US |
dc.title | The α-η-κ-μ Fading Model: An Exact Statistical Representation | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Electrical and Electronics Engineering |
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