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A NOVEL MGF BASED ANALYSIS OF CHANNEL CAPACITY OF GENERALIZED-K FADING WITH MAXIMAL-RATIO COMBINING DIVERSITY
Author(s) -
Vivek K. Dwivedi,
Ghanshyam Singh
Publication year - 2012
Publication title -
progress in electromagnetics research c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.341
H-Index - 34
ISSN - 1937-8718
DOI - 10.2528/pierc11100103
Subject(s) - fading , maximal ratio combining , moment generating function , fading distribution , channel (broadcasting) , signal to noise ratio (imaging) , channel state information , expression (computer science) , channel capacity , mathematics , topology (electrical circuits) , diversity combining , computer science , algorithm , electronic engineering , telecommunications , statistics , probability density function , engineering , wireless , combinatorics , rayleigh fading , programming language
In this paper, we have analyzed the channel capacity by using the maximal-ratio combing (MRC) diversity scheme for communication systems operating over a composite fading environment modeled by the Generalized-K distribution at the receiver. For the Generalized-K fading channel with arbitrary values for small and large scale fading parameters, we have derived a closed-form expression for the moment generating function (MGF) of the received signal-to-noise ratio (SNR) and utilized it to obtain a novel closed-form expressions for the channel capacity under difierent adaptive transmission schemes. The result of the proposed methods is compared with other reported literature to support the analysis.

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