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Joint detection, channel estimation, and interference cancellation in downlink MC-CDMA communication systems using complex-valued multilayer neural networks

Diversity in cascaded N*Nakagami channels

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Diversity in cascaded N*Nakagami channels

Content Provider	Springer Nature Link
Author	Shankar, P. M.
Copyright Year	2012
Abstract	Short term fading conditions that are worse than those existing in typical Nakagami channels can be modeled using the cascaded approach where the received signal-to-noise ratio is treated as the product of N identical or nonidentical random variables that are either dependent or independent. Cascaded channels also permit the modeling of fading seen in amplify and forward relaying channels as well as keyhole channels. The simplest of these models, referred to as the N*Nakagami model, assumes that the received signal to noise ratio is the product of N independent and identically distributed gamma variables. The fading mitigation achieved in such cascaded channels through diversity is studied in this work. Through analytical approach and simulation, the performance of wireless channels is examined for the selection combining, equal gain combining, generalized selection combining, and maximal ratio combining algorithms. Results demonstrate the existence of severe degradations in cascaded fading channels and the comparative usefulness of the various algorithms in improving the data transmission capabilities. Even though the analysis was undertaken for the case of a coherent binary shift keying modem, results can easily be extended to other modems.
Starting Page	477
Ending Page	483
Page Count	7
File Format	PDF
ISSN	00034347
Journal	Annales Des Télécommunications
Volume Number	68
Issue Number	7-8
e-ISSN	19589395
Language	English
Publisher	Springer Paris
Publisher Date	2012-10-24
Publisher Place	Paris
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cascaded channels Diversity Selection combining Maximal Ratio combining Equal Gain Combining Generalized Selection combining Error rates Outage probabilities Communications Engineering, Networks Information Systems and Communication Service Signal, Image and Speech Processing Computer Communication Networks Information and Communication, Circuits R & D/Technology Policy
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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Asymptotic performance of hybrid-selection/maximal-ratio combining over fading channels

Generalized diversity combining of energy harvesting multiple antenna relay networks: outage and throughput performance analysis

Unified Performance Analysis of Hybrid-Selection/Equal-Gain Combining

Performance of cooperative diversity using Equal Gain Combining (EGC) over Nakagami-m fading channels

The bivariate generalized-Κ (Κ_G) distribution and its application to diversity receivers

Performance of Amplify-and-Forward Cooperative Diversity Networks with Generalized Selection Combining over Nakagami-m Fading Channels

Equal gain combining over Nakagami-n (rice) and Nakagami-q (Hoyt) generalized fading channels

Blind Ratio Combining (BRC): An Optimum Diversity Receiver for Coherent Detection With Unknown Fading Amplitudes

Moment Generating Function Based Performance Analysis of Maximal-Ratio Combining Diversity Receivers in the Generalized-K Fading Channels

Diversity in cascaded N*Nakagami channels

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