Matrix analysis
Elements of information theory
Elements of information theory
Concrete Mathematics: A Foundation for Computer Science
Concrete Mathematics: A Foundation for Computer Science
Source and channel coding for correlated sources over multiuser channels
IEEE Transactions on Information Theory
Sending a bivariate Gaussian source over a Gaussian MAC with feedback
IEEE Transactions on Information Theory
The quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
Gaussian multiterminal source coding
IEEE Transactions on Information Theory
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
IEEE Transactions on Information Theory
Uncoded Transmission Is Exactly Optimal for a Simple Gaussian “Sensor” Network
IEEE Transactions on Information Theory
Correlated sources over wireless channels: cooperative source-channel coding
IEEE Journal on Selected Areas in Communications
Communicating correlated Gaussian sources over Gaussian Z interference channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Broadcasting correlated Gaussians
IEEE Transactions on Information Theory
Transmitting multiple correlated gaussian sources over a Gaussian MAC using delay-free mappings
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
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We study the power-versus-distortion tradeoff for the distributed transmission of a memoryless bivariate Gaussian source over a two-to-one average-power limited Gaussian multiple-access channel. In this problem, each of two separate transmitters observes a different component of a memoryless bivariate Gaussian source. The two transmitters then describe their source component to a common receiver via an average-power constrained Gaussian multiple-access channel. From the output of the multiple-access channel, the receiver wishes to reconstruct each source component with the least possible expected squared-error distortion. Our interest is in characterizing the distortion pairs that are simultaneously achievable on the two source components. We focus on the "equal bandwidth" case, where the source rate in source-symbols per second is equal to the channel rate in channel-uses per second. We present sufficient conditions and necessary conditions for the achievability of a distortion pair. These conditions are expressed as a function of the channel signal-to-noise ratio (SNR) and of the source correlation. In several cases, the necessary conditions and sufficient conditions are shown to agree. In particular, we show that if the channel SNR is below a certain threshold, then an uncoded transmission scheme is optimal. Moreover, we introduce a "source-channel vector-quantizer" scheme which is asymptotically optimal as the SNR tends to infinity.