NDLI: Multiple-input–multiple-output channel modelling using multi-layer perceptron with finite impulse response and infinite impulse response synapses

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Multiple-input–multiple-output channel modelling using multi-layer perceptron with finite impulse response and infinite impulse response synapses

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Multiple-input–multiple-output channel modelling using multi-layer perceptron with finite impulse response and infinite impulse response synapses

Content Provider	IET Digital Library
Author	Sarma, Kandarpa Kumar Mitra, Abhijit
Abstract	Multiple-input–multiple-output (MIMO) wireless technology is a viable option likely to be able to meet the demands of the ever-expanding mobile networks. For MIMO system, channel estimation is still a challenging area due to several difficulties. Soft-computational approaches can be additions to the list of traditional methods of MIMO channel modelling primarily because these tools, for their ability to learn, are better placed to use channel side information for improved performance. One of the viable means of such innovative channel estimation is the use of the artificial neural network (ANN) in a feedforward format known as multi-layer perceptron (MLP). But as these ANNs prove to be suitable for static and slowly varying cases, time-varying MIMO channels are modelled using modified MLP with temporal attributes developed using finite impulse response (FIR) and infinite impulse response (IIR) blocks in place of the synaptic links. Six sub-classes of each of the FIR-MLP and the IIR-MLP are formulated, which show better performance than the conventional MLP in modelling the MIMO channels.
Starting Page	1540
Ending Page	1549
Page Count	10
ISSN	17518628
Volume Number	7
e-ISSN	17518636
Issue Number	Issue 14, Sep (2013)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/7/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2012.0635
Journal	IET Communications
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Neural Network Channel Estimation Communication Computing Finite Impulse Response FIR IIR Infinite Impulse Response MIMO Channel Modelling MIMO Communication MIMO Wireless Technology MLP Mobile Network Multi-layer Perceptron Multilayer Perceptrons Multiple-input-multiple-output Channel Modelling Multiple-input-multiple-output Wireless Technology Neural Computing Technique Radio Link And Equipment Soft-computational Approach Telecommunication Computing Time-varying MIMO Channel Wireless Channel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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