Effect of antenna separation on the capacity of BLAST in correlated channels

By Dmitry Chizhik, F. Rashid-Farrokhi, J. Ling, Angel E. Lozano. IEEE Communications Letters, 2000

311 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/98a8ca7da03759d722deed6b67130b145c61dcd1

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In Electrical and Electronic Engineering

Citations in the corpus

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.”
Introduction to Smart Antennas (2007, background): “As in the transmit diversity case, base-station antennas must be sufficiently spaced apart for proper decorrelation [225].”
Keyholes, correlations, and capacities of multielement transmit and receive antennas (2002, background): “The impact on capacity may be quantified for a particular scattering geometry through a correlation matrix [7].”
Models for MIMO propagation channels: a review (2002, unknown): “This model was first conjectured in [40] to study the channel capacity.”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “The so-called Kronecker-based stochastic model was used in [187]–[190] for capacity analysis; – Dispersive MPC model .”
Multiple-antenna capacity in the low-power regime (2003, methodology): “These matrices, deterministic and Hermitian positive semidefinite, can be used to generate properly correlated channels via [16], [48], [49]”
Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole (2003, background): “Example 4 (Constant Correlation Model):A correlation matrix is called the th-order (positive-definite) constant correlation matrix with correlation coefficient , denoted by , if it has the following structure: ... ... ... . . . ...”
Random Matrix Theory and Wireless Communications (2004, background): “To that end, the so-called separable (also termed Kronecker or product) correlation model was proposed by several authors [220, 40, 203].”
A space-time correlation model for multielement antenna systems in mobile fading channels (2002, methodology): “The impact of fading correlation on the MIMO capacity are also studied in [11], [14], and [16]–[19] via Monte Carlo simulations.”
Transmit signal design for optimal estimation of correlated MIMO channels (2004, methodology): “The model was assumed in [1], [8], [ 9 ], and [16] and verified by measurements under certain environments in [10] and [17].”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, methodology): “The impact of correlation is important and various physical models and measurements of correlations have been used to assess its impact [26], [45]–[47].”
MIMO capacity through correlated channels in the presence of correlated interferers and noise: a (not so) large N analysis (2003, background): “The dependence of these matrices on antenna array properties, polarization, and channel properties such as angle spread have been described in various references [9], [10], [23].”