Capacity scaling in MIMO Wireless systems under correlated fading

By Chen-Nee Chuah, David Tse, Joseph M. Kahn, Reinaldo A. Valenzuela. IEEE Transactions on Information Theory, 2002

1,025 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/939381533b5ce59dd11907a437f28de25755b0c5

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Citations in the corpus

Spectral efficiency in the wideband regime (2002, background): “Note that with the same number of antennas at transmitter and receiver, knowledge of the channel at the transmitter gives a gain of 6 dB at zero spectral efficiency, or equivalently, a factor of in rate (b/s) for the same power in the infinite bandwidth limit [35], or a factor of in the required num”
Great expectations: the value of spatial diversity in wireless networks (2004, result): “It is shown in [61] that this result is also robust under some”
Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback (2009, background): “Channel Model Under the assumption of a rich scattering environment, the correlated channel can be modeled as [27]–[29] H = LXΘ, (15) where X ∈ C has i.”
The empirical distribution of the eigenvalues of a Gram matrix with a given variance profile (2004, methodology): “As in [5], the model studied in this article, i.e. Σn = Yn + Λn, is a particular case of the general case studied in ([9], chapter 7, equation K7) for which there exists a limiting distribution for the empirical distribution of the eigenvalues.”
Optimal Single-Port Matching Impedance for Capacity Maximization in Compact MIMO Arrays (2008, background): “If the transmitter does not affect the spatial properties of the received signal at all, becomes a Kronecker model with the following covariance structure [30]”
A stochastic MIMO channel model with joint correlation of both link ends (2006, background): “858030 capacity is due to the spatial correlation of the MIMO channel coefficients [7], [8].”
Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM (2003, background): “For a detailed discussion on the implications of this model, the interested reader is referred to [15].”
Achieving "Massive MIMO" Spectral Efficiency with a Not-so-Large Number of Antennas (2011, background): “theory of limiting distributions of large random matrices [20] was pioneered in [40], [41] in the case of random-spreading CDMA, and successfully applied to single-user MIMO channels (see for example [42]–[45]) and to networkMIMO cellular systems [11], [21], [33]–[35]. It was observed experimentally”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, background): “More general results which also cater for correlated fading can be found in [27], [39], and [42].”
Fundamentals of Wireless Communication (2005, background): “In [21], the authors also consider a correlated channel model: the entries of the MIMO channel are jointly complex Gaussian (with invertible covariance matrix).”
Effect of element mutual coupling on the capacity of fixed length linear arrays (2002, background): “Several authors [4], [5], [12], [] have investigated the effect of high correlation arising from nonrichness of the scattering environment on the capacity of MIMO systems.”
Analysis of Mutual Coupling, Correlations, and TARC in WiBro MIMO Array Antenna (2007, background): “In the correlated Rayleigh-fading case, the following covariance structure is valid [5]:”