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https://hdl.handle.net/2142/99591
Description
Title
Communication Teams and Games on Fading Channels
Author(s)
Kashyap, Akshay
Issue Date
2003-10
Keyword(s)
Control with non-classical information
Instantaneous coding
Linear coding
Fading channels
Jamming
Zero-sum mutual information games
Abstract
In this thesis we study a communication team problem and a zero sum game on multiple-antenna channels, both with and
without fading.
The team problem is one of designing an encoder and decoder to minimize the mean square error in the transmission of a
Gaussian source over a multiple input, multiple output (MIMO) channel. We find the optimal encoder-decoder pair when
the encoder is restricted to the class of linear transformations. We prove necessary and sufficient conditions for the
optimality of linear coding on the fixed channel. For fading MIMO channels, we prove that linear coding, while suboptimal
in general, is nearly optimal at low SNR.
The zero sum game models communication in the presence of jamming by an intelligent jammer. The players are a
communicator (the encoder and decoder together) on the one hand and a jammer on the other. The payoff of the game
(to the communicator) is the mutual information between the input and the output of the channel. The jammer is also
assumed to have access to the input of the channel. We prove that for a Rayleigh fading channel with side information at
the decoder this additional information is useless to the jammer; the worst that the jammer can do is to inject into the
channel a Gaussian interference independent of the legitimate channel input.
Publisher
Coordinated Science Laboratory, University of Illinois at Urbana-Champaign
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