An introduction to the mathematical theory of inverse problems
An introduction to the mathematical theory of inverse problems
Third Generation Mobile Communication Systems
Third Generation Mobile Communication Systems
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
IEEE Transactions on Information Theory
MIMO channel modeling and the principle of maximum entropy
IEEE Transactions on Information Theory
What is the value of limited feedback for MIMO channels?
IEEE Communications Magazine
From theory to practice: an overview of MIMO space-time coded wireless systems
IEEE Journal on Selected Areas in Communications
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Motivated by the study of the optimization of the quality of service for multiple input multiple output (MIMO) systems in 3G (third generation), we develop a method for modeling MIMO channel H. This method, which uses a statistical approach, is based on a variational form of the usual channel equation. The proposed equation is given by δ2 = 〈δR|H|δE〉|+〈δR|(δH)|E〉 with scalar variable δ = ||δR||. Minimum distance δmin of received vectors |R〉 is used as the random variable to model MIMO channel. This variable is of crucial importance for the performance of the transmission system as it captures the degree of interference between neighbors vectors. Then, we use this approach to compute numerically the total probability of errors with respect to signal-to-noise ratio (SNR) and then predict the numbers of antennas. By fixing SNR variable to a specific value, we extract informations on the optimal numbers of MIMO antennas.