NDLI: Neuro-computational frameworks for non-linear stochastic wireless channels

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Neuro-computational frameworks for non-linear stochastic wireless channels

Content Provider	Springer Nature Link
Author	Bhuyan, Manasjyoti Sarma, Kandarpa Kumar Mastorakis, Nikos
Copyright Year	2015
Abstract	Inter symbol interference and related distortions observed in high data rate wireless systems are mitigated using equalizers and channel estimation methods which are traditionally based on data driven tapped delay line (TDL) models. With increased fading due to mobility of transmit receive terminals, data driven schemes prove to be inefficient. Further, the TDL model assumes the dispersive channel to be linear in nature unlike the practical case which is non-linear, resulting in degraded performance. In such a situation, extrapolation of the channel state information is required which has been done by using artificial neural networks (ANN) optimized for non-linear channels. We explore a few neuro-computational approaches namely focused time delay neural network, feed forward ANN (FANN)–decision feedback equalizer (DFE) (FANN–DFE) and a functional link neural network while modeling non-linear wireless channels. Further, implementation of FANN–DFE based algorithm has been carried out using a specialized hardware framework to show the reduction of computational latency during training to establish its suitability for real time applications.
Starting Page	109
Ending Page	120
Page Count	12
File Format	PDF
ISSN	18686478
Journal	Evolving Systems
Volume Number	8
Issue Number	2
e-ISSN	18686486
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-09-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	CSI NARMA DFE Channel Mobile ANN Complexity Artificial Intelligence (incl. Robotics) Complex Systems
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation Computer Science Applications

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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