We consider the problem of sending two correlated ran-dom sources over a Gaussian multiple-access channel. The sources are assumed to be temporally memoryless. The performance criterion is the MSE and we seek lin-ear transceivers that minimize it. When the bandwidth expansion factor is unity, it is shown that uncoded trans-mission is the best linear code for any SNR. When the bandwidth expansion factor is two, we present a scheme that involves uncoded transmission of one source with ap-propriate power adaptation and uncoded transmission of the other source and its negative with appropriate power adaptation. This scheme is shown to strictly ourperform coding strategies based on TDMA. 1
We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian Mu...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...
In this paper we address the problem of transmission of correlated sources over a fading multiple a...
In this paper we address the problem of transmission of correlated sources over a fading multiple ac...
In this paper we address the problem of transmission of correlated sources over a fading multiple ac...
In this paper we address the problem of transmission\ud of correlated sources over a fading multiple...
Abstract—The problem of separately encoding and subse-quently transmitting correlated sources over a...
Abstract—The bivariate Gaussian multiterminal source coding problem with transmission over the Gauss...
Abstract We investigate the transmission of multiple correlated binary sources to a single destinati...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
Abstract—We study the power-versus-distortion tradeoff for the transmission of a memoryless bivariat...
We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian Mu...
We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian Mu...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...
In this paper we address the problem of transmission of correlated sources over a fading multiple a...
In this paper we address the problem of transmission of correlated sources over a fading multiple ac...
In this paper we address the problem of transmission of correlated sources over a fading multiple ac...
In this paper we address the problem of transmission\ud of correlated sources over a fading multiple...
Abstract—The problem of separately encoding and subse-quently transmitting correlated sources over a...
Abstract—The bivariate Gaussian multiterminal source coding problem with transmission over the Gauss...
Abstract We investigate the transmission of multiple correlated binary sources to a single destinati...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
We study the lossy communication of correlated sources over a multiple access channel (MAC). In part...
Abstract—We study the power-versus-distortion tradeoff for the transmission of a memoryless bivariat...
We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian Mu...
We consider the problem of transmission of correlated discrete alphabet sources over a Gaussian Mu...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...
Linear transmission of correlated L-dimensional Gaussian vector sources over multiple-input multiple...