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An approximate statistical analysis of wireless channel over α − μ shadowed fading channel
Author(s) -
Upaddhyay Vipin Kumar,
Soni Sanjay K.,
Chauhan Puspraj Singh
Publication year - 2021
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4884
Subject(s) - fading , diversity gain , coding gain , probability density function , computer science , cumulative distribution function , rayleigh fading , mathematics , moment generating function , algorithm , wireless , channel (broadcasting) , monte carlo method , maximal ratio combining , telecommunications , statistics , decoding methods
Summary In this work, we have comprehensively investigated the impact of non‐linearity ( α − μ ) and shadowing (inverse gamma) collectively over the wireless channel. To this effect, an approximate closed‐form probability density function (PDF) expression is derived over α − μ /inverse gamma fading channel by employing Gauss–Laguerre quadrature polynomial. The accuracy of the proposed approximate solution is validated through the Kullback–Leibler divergence test. Subsequently, the proposed solution is utilized in the development of various fundamental statistics like commutative distribution function (CDF), moment generating function (MGF) and n th moment. This contribution also includes the derivation of coding gain and diversity gain to study average symbol error probability (SEP) with MRC and EGC diversity. It is observed that diversity gain is independent of shadowing and as the channel condition improves, the coding gain decreases. Finally, the closed‐form solutions of spectral efficiency under different adaptive transmission policies are also developed specifically, optimal power and rate adaptation (OPRA) and effective capacity along with simpler low‐ and high‐power expressions. Monte‐Carlo simulations are utilized to validate the proposed analytical and numerical results.