Distributed analog linear coding of correlated Gaussian sources over multiple access channels

  • Authors:
  • Iñaki Esnaola;Javier Garcia-Frias

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Delaware, Newark, DE;Department of Electrical and Computer Engineering, University of Delaware, Newark, DE

  • Venue:
  • ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
  • Year:
  • 2009

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Abstract

We study the performance of distributed analog linear coding of correlated multivariate Gaussian sources over the multiple access channel. Assuming the correlation structure is known both at the encoder and the decoder, optimal linear encoding and decoding is introduced. A general performance analysis is presented for both random and optimal linear encoders and compared to a lower bound on the achievable theoretical limit. Simulation results show the agreement between the theoretical analysis and the practical implementation.