Error control coding in mobile ATM system

Author

Rozanski, Grzegorz ; Bromirski, Mark ; Lysek, Krzysztof

Author_Institution

Mil. Univ. of Technol., Warsaw, Poland

Volume

2

fYear

2001

fDate

2001

Firstpage

1180

Abstract

This article shows the model of mobile asynchronous transfer mode (ATM) system, and it proposes neural error control coding in this system. A knowledge-combined neural network (NN) approach is developed and applied to optimum coding selection. The proposed approach utilises a NN trained not only by precedent examples but also by knowledge rules to draw conclusions. It is shown that an artificial NN can provide effective solutions to the problems encountered in mobile ATM system that emulate a coding specialist´s expertise. The major issue discussed is the effective application of NN techniques to optimum selection of error control coding schemes for mobile ATM systems.

Keywords

asynchronous transfer mode; convolutional codes; feedforward neural nets; forward error correction; knowledge based systems; land mobile radio; neural net architecture; packet radio networks; telecommunication computing; ANN; artificial NN; asynchronous transfer mode; convolutional codes; error control coding; forward error control; knowledge rules; knowledge-combined neural network; mobile ATM system; neural error control coding; neural network architecture; optimum coding selection; three-layer feedforward neural network; Asynchronous transfer mode; Decoding; Error correction; Expert systems; Monitoring; Neural networks; Neurotransmitters; Probability; Quality of service; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE

Print_ISBN

0-7803-7225-5

Type

conf

DOI

10.1109/MILCOM.2001.986033

Filename

986033