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3518 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 51, NO. 10, OCTOBER 2005 SourceChannel Diversity for Parallel Channels
 

Summary: 3518 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 51, NO. 10, OCTOBER 2005
Source­Channel Diversity for Parallel Channels
J. Nicholas Laneman, Member, IEEE, Emin Martinian, Member, IEEE, Gregory W. Wornell, Fellow, IEEE, and
John G. Apostolopoulos, Member, IEEE
Abstract--We consider transmitting a source across a pair
of independent, nonergodic channels with random states (e.g.,
slow-fading channels) so as to minimize the average distortion. The
general problem is unsolved. Hence, we focus on comparing two
commonly used source and channel encoding systems which cor-
respond to exploiting diversity either at the physical layer through
parallel channel coding or at the application layer through mul-
tiple description (MD) source coding. For on­off channel models,
source coding diversity offers better performance. For channels
with a continuous range of reception quality, we show the reverse
is true. Specifically, we introduce a new figure of merit called the
distortion exponent which measures how fast the average distor-
tion decays with signal-to-noise ratio. For continuous-state models
such as additive white Gaussian noise (AWGN) channels with
multiplicative Rayleigh fading, optimal channel coding diversity
at the physical layer is more efficient than source coding diversity

  

Source: Apostolopoulos, John - Hewlett Packard Research Labs
Laneman, J. Nicholas - Department of Electrical Engineering, University of Notre Dame
Wornell, Gregory W. - Research Laboratory of Electronics & Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT)

 

Collections: Computer Technologies and Information Sciences; Engineering