OFDM pulse shape generation using artificial neural networks

Author

Akah, Haitham M. ; Kamel, Aladin ; EL-Hennawy, Hadia M.

Author_Institution

Nat. Authority of Remote Sensing & Space Sci., Cairo, Egypt

fYear

2009

fDate

18-23 May 2009

Firstpage

1694

Lastpage

1699

Abstract

This paper presents an experiment of using neuronal networks as a pulse shape generator for CP-OFDM. A set of pulse shapes were generated using genetic algorithm that minimizes the mean square error of the timing offset estimator. These pulse shapes were used to train function approximation neural networks. Such neural networks make the use of adaptive pulse shaping in OFDM systems feasible. Results from neural networks simulation, which have shown the ability of neural networks to fulfill such function, are presented.

Keywords

OFDM modulation; artificial intelligence; function approximation; genetic algorithms; mean square error methods; neural nets; telecommunication computing; OFDM pulse shape generation; artificial neural network; function approximation neural network; genetic algorithm; mean square error; timing offset estimator; Artificial neural networks; Biological neural networks; Genetic algorithms; Mean square error methods; Neural networks; OFDM; Pulse generation; Pulse shaping methods; Shape; Timing; CP-OFDM; Neural Networks; Orthogonal Frequency Division Multiplexing; Pulse Shaping; Timing Offset Estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON 2009, EUROCON '09. IEEE

Conference_Location

St.-Petersburg

Print_ISBN

978-1-4244-3860-0

Electronic_ISBN

978-1-4244-3861-7

Type

conf

DOI

10.1109/EURCON.2009.5167871

Filename

5167871