Composite and Cascaded Generalized-K Channel Model and Some Analyses

Imran Shafique Ansari

ISBN 10: 3845408634 / ISBN 13: 9783845408637

Published by LAP LAMBERT Academic Publishing Jul 2011, 2011

About this Item

Neuware -The introduction of new schemes that are based on the communication among nodes has motivated the use of composite fading models due to the fact that the nodes experience different multipath fading and shadowing statistics, which subsequently determines the required statistics for the performance analysis of different transceivers. The end-to-end signal-to-noise-ratio statistics plays an essential role in the determination of the performance of cascaded digital communication systems. In this thesis, a closed-form expression for the probability density function (PDF) of the end-end SNR for independent but not necessarily identically distributed cascaded generalized-K composite fading channels is derived. The developed PDF expression in terms of the Meijer-G function allows the derivation of subsequent performance metrics, applicable to different modulation schemes. Another line of research that was motivated by the introduction of composite fading channels is the error performance. In this thesis, a unified closed-form expression for the bit error rate of dual-branch selection diversity based systems is derived in terms of the extended generalized bivariate Meijer G-function.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch.

Seller Inventory # 9783845408637

Bibliographic Details

• Title: Composite and Cascaded Generalized-K Channel Model and Some Analyses
• Publisher: LAP LAMBERT Academic Publishing Jul 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3845408634
• ISBN 13: 9783845408637
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams

About this title

Synopsis

The introduction of new schemes that are based on the communication among nodes has motivated the use of composite fading models due to the fact that the nodes experience different multipath fading and shadowing statistics, which subsequently determines the required statistics for the performance analysis of different transceivers. The end-to-end signal-to-noise-ratio statistics plays an essential role in the determination of the performance of cascaded digital communication systems. In this thesis, a closed-form expression for the probability density function (PDF) of the end-end SNR for independent but not necessarily identically distributed cascaded generalized-K composite fading channels is derived. The developed PDF expression in terms of the Meijer-G function allows the derivation of subsequent performance metrics, applicable to different modulation schemes. Another line of research that was motivated by the introduction of composite fading channels is the error performance. In this thesis, a unified closed-form expression for the bit error rate of dual-branch selection diversity based systems is derived in terms of the extended generalized bivariate Meijer G-function.

About the Author

Imran Shafique Ansari is pursuing his PhD at King Abdullah University of Science and Technology (KAUST) in Wireless Communications. He is currently working on Wireless Channel Modeling.Besides his academics, he is a student member of IEEE and IET. He is also serving as a member on IET-EMEA RB.