Adaptive modulation in an OFDM communications system with artificial neural networks

  • Authors:
  • John Kassab;Santosh Nagaraj

  • Affiliations:
  • Electrical and Computer Engineering, San Diego State University;Electrical and Computer Engineering, San Diego State University

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

In order to combat fading in an OFDM communications system, adaptive modulation techniques have been employed which can improve the performance. We propose that an artificial neural network (ANN) can be inserted in an OFDM system that would provide the information necessary to perform an adaptive modulation of the subcarriers. The performance of the system is evaluated in terms of symbol error probability. The results of our simulations allow us to validate our hypothesis.