Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the effect of channel estimation error at the receiver on the mutual information of a multiple-input-multiple-output (MIMO) channel obeying correlated Rayleigh fading.  assume that perfect knowledge of the channel correlation is available at the receiver and find upper and lor bounds on the mutual information for Gaussian input signals.  prove that for a generic input covariance matrix, the gap beten these two bounds at high transmit pors does not exceed a certain value, which depends on the number of nonzero eigenvalues of the receive correlation matrix.  also show that in a system with uncorrelated transmit antennas and correlated receive antennas and with uniform por distribution over the transmit antennas, these bounds are asymptotically tight for a large number of transmit antennas.  show that when the correlation information is available at the transmitter, the transmitting strategy that maximizes the mutual information lor bound is to transmit toward the directions of the eigenvectors of the transmit correlation matrix.  further derive upper and lor bounds on the mutual information of a MIMO multiple-access channel with imperfect channel estimation at the receiver.  also prove that when the input por at each user is uniformly distributed over its transmit antennas, the bounds on the mutual information are asymptotically tight for Gaussian input signals, and this tightness increases when the number of users increases. Numerical simulations are conducted to corroborate theoretical results.
['Leila Musavian', 'Mohammad Reza Nakhai', 'Mischa Dohler', 'A.H. Aghvami']
I am writing a research paper on a idea Effect of Channel Uncertainty on the Mutual Information of MIMO Fading Channels
[{"from": "human", "value": "I am writing a research paper on a idea Effect of Channel Uncertainty on the Mutual Information of MIMO Fading Channels"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  study the effect of channel estimation error at the receiver on the mutual information of a multiple-input-multiple-output (MIMO) channel obeying correlated Rayleigh fading.  assume that perfect knowledge of the channel correlation is available at the receiver and find upper and lor bounds on the mutual information for Gaussian input signals.  prove that for a generic input covariance matrix, the gap beten these two bounds at high transmit pors does not exceed a certain value, which depends on the number of nonzero eigenvalues of the receive correlation matrix.  also show that in a system with uncorrelated transmit antennas and correlated receive antennas and with uniform por distribution over the transmit antennas, these bounds are asymptotically tight for a large number of transmit antennas.  show that when the correlation information is available at the transmitter, the transmitting strategy that maximizes the mutual information lor bound is to transmit toward the directions of the eigenvectors of the transmit correlation matrix.  further derive upper and lor bounds on the mutual information of a MIMO multiple-access channel with imperfect channel estimation at the receiver.  also prove that when the input por at each user is uniformly distributed over its transmit antennas, the bounds on the mutual information are asymptotically tight for Gaussian input signals, and this tightness increases when the number of users increases. Numerical simulations are conducted to corroborate theoretical results."}]