A stochastic MIMO channel model with joint correlation of both link ends

By Werner Weichselberger, Markus Herdin, H. Özcelik, Ernst Bonek. IEEE Transactions on Wireless Communications, 2006

592 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/028fa80bbb79ac42af5e647ae50b932fb718e6a7

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Citations in the corpus

Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis (2021, methodology): “proposed in 2006 [144] as a generalization of the Kronecker and VCR models.”
Impact of antenna correlation on the capacity of multiantenna channels (2005, background): “• If and are arbitrary unitary matrices while is IND Rayleigh-faded, we obtain the generalization of the virtual model proposed in [21] and [22] and experimentally validated in the latter.”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “In [84], a joint correlation at both the transmitter and receiver was introduced primarily in the Weichselberger massive MIMO channel model.”
MIMO Wireless Linear Precoding (2007, background): “More general antenna correlation models have also been proposed in [51], [52], in which the transmit covariances (Rt) corresponding to different reference receive antennas are assumed to have the same eigenvectors, but not necessarily the same eigenvalues; similarly for Rr.”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, methodology): “, based on the Lindeberg Central limit theorem [309]) and has been validated by measurements [54, 132, 288, 294, 306].”
Effects of channel aging in massive MIMO systems (2013, methodology): “Let {Vbbu,q}pq=0, where Vbbu,q ∈ CNt×Nt , be the optimal p-th order Wiener linear predictor that minimizes the mean square error (MSE) in the prediction of hbbu[n + 1] based on ỹp,bu[n], ỹp,bu[n − 1], · · · , ỹp,bu[n − p].”
Beam Division Multiple Access Transmission for Massive MIMO Communications (2015, methodology): “Similarly to [26], we can define the eigenmode CCM as”
Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, background): “By contrast, analytical models, such as the correlation-based Kronecker [152], [153] and Weichselberger [154] channel models as well as the propagation-based finite scatterer [155], maximum entropy [156] and virtual channel representation [157] models, characterize the communication channel mathemat”