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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2016

06.07.2016

A MGF Based Closed Form Expressions for Error Probability and Capacity Over EGK Fading for Interference Limited System

verfasst von: S. Pratap Singh, Sanjay Kumar

Erschienen in: Wireless Personal Communications | Ausgabe 2/2016

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Abstract

Rapid increase in the number of user per day has been observed in the field of wireless communication. This demands more and more data rate. Indoor deployment has been proposed as one of the solution to handle the challenge of the high rate. However, indoor scenario is prone to interference. Specifically, in femto-cell, both intra-tier and cross-tier interference are present simultaneously. This makes the system interference limited. Furthermore, extended generalized K (EGK) fading channel model is one of the most suitable channel models for indoor wireless system. This paper presents performance analysis over EGK fading channel in an interference limited system. The numerical analysis of proposed closed form expressions for various bit error rate, capacity under optimal rate adaptation and capacity under channel inversion have been presented. In each case it has been observed that on increasing shadowing parameter (m sd ) or the multipath parameter (m d ) in the desired path the severity in the desired path decreases, which improves system performance. This paper also includes shaping parameters of the multipath and shadowing simultaneously not only in the desired but in the interfering path as well.
Vorheriger Artikel Robust Signal-to-Noise Ratio Estimation in Non-Gaussian Noise Channel
Nächster Artikel A Miniaturized Dual-Band Antenna with Toothbrush-Shaped Patch and Meander Line for WLAN Applications

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Metadaten
Titel
A MGF Based Closed Form Expressions for Error Probability and Capacity Over EGK Fading for Interference Limited System
verfasst von
S. Pratap Singh
Sanjay Kumar
Publikationsdatum
06.07.2016
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2016
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-016-3478-3

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