We discuss a Gaussian vector channel with random channel matrix, as a mathematical model for various wireless communication systems including multiple-input multiple-output (MIMO) and code-division multiple-access (CDMA) channels, and how statistical-physics approaches can be applied to analyze the Gaussian vector channel. We then present a mean-field description of the Gaussian vector channel in terms of a joint distribution of any single element of originally sent channel input and its estimate via posterior probability, which is a refinement of the “decoupling” result reported by Guo and Verdú for a set of statistically equivalent elements of channel input, the number of which is extensive
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
International audienceAnalytical descriptions of the statistics of wireless channelmodels are desira...
International audienceWe propose a class of parametric channel models that we call generalized Gauss...
The use of multi-antenna arrays in wireless communications through disordered media promises huge in...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
The scalar additive Gaussian noise channel has the “single crossing point ” property between the min...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
This thesis considers transmission techniques for current and future wireless and mobile communicati...
We present a mean field theory of code-division multiple access (CDMA) systems with error-control co...
International audienceThis article studies the joint distribution of the signal-to-interference-plus...
Using large-dimensional random matrix theory (RMT), we conduct mutual information analysis of a mult...
In this part , we devise theoretical grounds for constructing channel models for Multi-input Mult...
We introduce parameters called normalized mean square covariance (NMSV), normal-ized mean square cor...
A statistical model for Land Mobile Satellite (LMS) channels, where transmitters and receivers are e...
In this correspondence, we consider a narrow-band point-to-point communication system with many (inp...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
International audienceAnalytical descriptions of the statistics of wireless channelmodels are desira...
International audienceWe propose a class of parametric channel models that we call generalized Gauss...
The use of multi-antenna arrays in wireless communications through disordered media promises huge in...
Random matrix theory has found many applications in physics, statistics and engineering since its in...
The scalar additive Gaussian noise channel has the “single crossing point ” property between the min...
International audienceThis book introduces the field of random matrix theory and particularly of lar...
This thesis considers transmission techniques for current and future wireless and mobile communicati...
We present a mean field theory of code-division multiple access (CDMA) systems with error-control co...
International audienceThis article studies the joint distribution of the signal-to-interference-plus...
Using large-dimensional random matrix theory (RMT), we conduct mutual information analysis of a mult...
In this part , we devise theoretical grounds for constructing channel models for Multi-input Mult...
We introduce parameters called normalized mean square covariance (NMSV), normal-ized mean square cor...
A statistical model for Land Mobile Satellite (LMS) channels, where transmitters and receivers are e...
In this correspondence, we consider a narrow-band point-to-point communication system with many (inp...
International audienceRandom matrix theory deals with the study of matrix-valued random variables. I...
International audienceAnalytical descriptions of the statistics of wireless channelmodels are desira...
International audienceWe propose a class of parametric channel models that we call generalized Gauss...