Elements of information theory
Elements of information theory
Multiuser Detection
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Fundamentals of wireless communication
Fundamentals of wireless communication
Random matrix theory and wireless communications
Communications and Information Theory
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Majorization and matrix-monotone functions in wireless communications
Foundations and Trends in Communications and Information Theory
Complex singular wishart matrices and applications
Computers & Mathematics with Applications
Asymptotic spectral efficiency of multicell MIMO systems with frequency-flat fading
IEEE Transactions on Signal Processing
Keyholes, correlations, and capacities of multielement transmit and receive antennas
IEEE Transactions on Wireless Communications
Asymptotic eigenvalue distributions and capacity for MIMO channels under correlated fading
IEEE Transactions on Wireless Communications
Asymptotic statistics of mutual information for doubly correlated MIMO channels
IEEE Transactions on Wireless Communications
Linear multiuser receivers: effective interference, effective bandwidth and user capacity
IEEE Transactions on Information Theory
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
A random matrix model of communication via antenna arrays
IEEE Transactions on Information Theory
Iterative water-filling for Gaussian vector multiple-access channels
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
Scaling results on the sum capacity of cellular networks with MIMO links
IEEE Transactions on Information Theory
On the Outage Capacity of Correlated Multiple-Path MIMO Channels
IEEE Transactions on Information Theory
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
Capacity of MIMO channels: asymptotic evaluation under correlated fading
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
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In the context of cellular systems, it has been shown that multicell processing can eliminate inter-cell interference and provide high spectral efficiencies with respect to traditional interference-limited implementations. Moreover, it has been proved that the multiplexing sum-rate capacity gain of multicell processing systems is proportional to the number of Base Station (BS) antennas. These results have been also established for cellular systems, where BSs and User Terminals (UTs) are equipped with multiple antennas. Nevertheless, a common simplifying assumption in the literature is the uncorrelated nature of the Rayleigh fading coefficients within the BSUT MIMO links. In this direction, this paper investigates the ergodic multicell-processing sum-rate capacity of the Gaussian MIMO Cellular Multiple-Access Channel in a correlated fading environment. More specifically, the multiple antennas of both BSs and UTs are assumed to be correlated according to the Kronecker product model. Furthermore, the current system model considers Rayleigh fading, uniformly distributed UTs over a planar coverage area and power-law path loss. Based on free probabilistic arguments, the empirical eigenvalue distribution of the channel covariance matrix is derived and it is used to calculate both Optimal Joint Decoding and Minimum Mean Square Error (MMSE) Filtering capacity. In addition, numerical results are presented, where the per-cell sum-rate capacity is evaluated while varying the cell density of the system, as well as the level of fading correlation. In this context, it is shown that the capacity performance is greatly compromised by BS-side correlation, whereas UT-side correlation has a negligible effect on the system's performance. Furthermore, MMSE performance is shown to be greatly suboptimal but more resilient to fading correlation in comparison to optimal decoding.