Source-channel rate optimization for progressive image transmission over block fading relay channels

  • Authors:

  • Hobin Kim;Ramesh Annavajjala;Pamela C. Cosman;Laurence B. Milstein

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA;Mitsubishi Electric Research Laboratories, Cambridge, MA;Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA;Department of Electrical and Computer Engineering, University of California, San Diego, La Jolla, CA

  • Venue:
  • IEEE Transactions on Communications
  • Year:
  • 2010

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Abstract

In this paper, we are concerned with the design and analysis of joint source-channel coding schemes for block fading channels with relay-assisted distributed spatial diversity. Assuming a progressive image coder with a constraint on the transmission bandwidth, we formulate a joint source-channel rate allocation scheme that maximizes the expected source throughput. Specifically, using Gaussian as well as BPSK inputs on flat Rayleigh fading channels, we lower bound the average packet error rate by the corresponding mutual information outage probability, and derive the average throughput expression as a function of channel code rates as well as channel SNR for both a frequency-division multiplexing-based baseline system without relaying, and a half-duplex relay system with a decodeand-forward protocol. At high signal-to-noise ratio (SNR), for the systems considered in this paper, we show that our rate optimization problem is a convex function of the channel code rates, and we show that a known recursive algorithm can be used to predict the performance of both systems.