Transmitting multiple correlated gaussian sources over a Gaussian MAC using delay-free mappings

  • Authors:

  • Pål Anders Floor;Anna N. Kim;Tor A. Ramstad;Ilangko Balasingham;Niklas Wernersson;Mikael Skoglund

  • Affiliations:

  • Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway, and University of Science and Technology, Trondheim, Norway;University of Science and Technology, Trondheim, Norway;University of Science and Technology, Trondheim, Norway;Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway, and University of Science and Technology, Trondheim, Norway;Ericsson Research, Stockholm, Sweden;Royal Institute of Technology, Stockholm, Sweden

  • Venue:
  • Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
  • Year:
  • 2011

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Abstract

In this paper, we study the problem of communicating multiple correlated Gaussian memoryless sources over a Gaussian Multiple Access Channel (GMAC). We focus on distributed delay-free, low complexity, joint source-channel coding (JSCC) solutions to the problem. Theoretical performance bounds are derived and linear and nonlinear JSCC schemes are evaluated. The main contribution is a nonlinear hybrid discrete-analog mapping based on distributed quantization and a linear continuous mapping named Distributed Quantizer Linear Coder (DQLC). The proposed scheme shows promising performance which improve with increasing correlation and is robust against variations in noise level.