DocumentCode :
1137561
Title :
On the multicell processing capacity of the cellular MIMO uplink channel in correlated rayleigh fading environment
Author :
Chatzinotas, Symeon ; Imran, Muhammad Ali ; Hoshyar, Reza
Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
Volume :
8
Issue :
7
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
3704
Lastpage :
3715
Abstract :
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.
Keywords :
Gaussian channels; MIMO systems; Rayleigh channels; cellular radio; correlation methods; covariance matrices; decoding; eigenvalues and eigenfunctions; filtering theory; intersymbol interference; mean square error methods; multi-access systems; multibeam antennas; probability; spectral analysis; BSUT MIMO links; Gaussian MIMO cellular multiple-access channel; Kronecker product model; Rayleigh fading coefficients; base station antennas; cellular MIMO uplink channel; cellular systems; channel covariance matrix; correlated Rayleigh fading environment; eigenvalue distribution; ergodic multicellprocessing sum-rate capacity; fading correlation; intercell interference; minimum mean square error filtering capacity; multicell processing capacity; multicell processing systems; multiple antennas; multiplexing sum-rate capacity gain; optimal decoding; optimal joint decoding; probabilistic arguments; spectral efficiency; Base stations; Covariance matrix; Decoding; Eigenvalues and eigenfunctions; Fading; Interference elimination; MIMO; Mean square error methods; Power system modeling; Rayleigh channels; Information theory, Information rates, multiuser channels, MIMO systems, channel correlation, land mobile radio cellular systems, eigenvalues and eigenfunctions.;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2009.080922
Filename :
5165333
Link To Document :
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