Random matrix theory and wireless communications
Communications and Information Theory
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Complex singular wishart matrices and applications
Computers & Mathematics with Applications
Asymptotic statistics of mutual information for doubly correlated MIMO channels
IEEE Transactions on Wireless Communications
Shannon-theoretic approach to a Gaussian cellular multiple-access channel with fading
IEEE Transactions on Information Theory
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
Impact of antenna correlation on the capacity of multiantenna channels
IEEE Transactions on Information Theory
Asymptotic spectral efficiency of multiuser multisignature CDMA in frequency-selective channels
IEEE Transactions on Information Theory
On the Outage Capacity of Correlated Multiple-Path MIMO Channels
IEEE Transactions on Information Theory
A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels
IEEE Transactions on Information Theory
Capacity of MIMO channels: asymptotic evaluation under correlated fading
IEEE Journal on Selected Areas in Communications
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In the information-theoretic literature, it has been widely shown that multicell processing is able to provide high capacity gains in the context of cellular systems and that the per-cell sum-rate capacity of multicell processing systems grows linearly with the number of Base Station (BS) receive antennas. However, the majority of results in this area has been produced assuming that the fading coefficients of the MIMO subchannels are totally uncorrelated. In this direction, this paper investigates the ergodic per-cell sum-rate capacity of the MIMO Cellular Multiple-Access Channel under correlated fading and multicell processing. More specifically, the current channel model considers Rayleigh fading, uniformly distributed User Terminals (UTs) over a planar cellular system and power-law path loss. Furthermore, both BSs and Uts are equipped with correlated multiple antennas, which are modelled according to the Kronecker model. The per-cell sum-rate capacity closed form is derived using a Free Probability approach and numerical results are produced by varying the cell density of the system, as well as the level of correlation.