A stochastic MIMO radio channel model with experimental validation

By Jean-Philippe Kermoal, Laurent Schumacher, Klaus Ingemann Pedersen, Preben Elgaard Mogensen, Frank Frederiksen. IEEE J. Sel. Areas Commun., 2002

1,518 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7ba81e4236d1124ab1928f52d748e2dfa5f84d82

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Citations in the corpus

EFFECT OF ANTENNA ARRAY GEOMETRY AND ULA AZIMUTHAL ORIENTATION ON MIMO CHANNEL PROPERTIES IN URBAN CITY STREET GRID (2006, neutral): “However, their investigation was carried out based on a stochastic channel model [10].”
Design and Evaluation of a Reconfigurable Antenna Array for MIMO Systems (2008, methodology): “The “Kronecker” model [21] in (3) is adopted in this paper to illustrate the potential of the proposed reconfigurable antenna.”
Multimode antenna selection for spatial multiplexing systems with linear receivers (2005, methodology): “The transmit and receive correlations were taken from the " micro correlated " model in [56].”
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination (2019, positive): “1) Practical Massive MIMO channels are spatially correlated, as seen from measurement campaigns [13]–[16] and physical arguments [1, Sec.”
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].”
A stochastic MIMO channel model with joint correlation of both link ends (2006, background): “H. Özcelik and E. Bonek are with the Institut für Nachrichtentechnik und Hochfrequenztechnik (INTHF), Technische Universität Wien, Vienna A-1040, Austria (e-mail: huseyin.ozcelik@nt.tuwien.ac.at; ernst.bonek@nt. tuwien.ac.at).”
MIMO Wireless Linear Precoding (2007, methodology): “This Kronecker correlation model has been experimentally verified for indoor channels of up to 3 × 3 antennas [48], [49], and for outdoor of up to 8 × 8 [50].”
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation (2013, methodology): “To simplify the calculations, we can approximately evaluate the long-term beamforming gain (16), assuming a well-known Kronecker model [63], [64],”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “Examples of this model include the Weichselberger model [84] and the Kronecker-based stochastic model [186].”
Design of Orthogonal MIMO Handset Antennas Based on Characteristic Mode Manipulation at Frequency Bands Below 1 GHz (2014, background): “The Kronecker model [33] and uniform 3D angular power spectrum (APS) are assumed.”
Spiked separable covariance matrices and principal components (2019, background): “For example, in wireless communications [28, 52, 54], especially for the multiple-input-multiple-output (MIMO) systems, the r A and r B represent the covariances between the receiver antennas and between the transmitter antennas, respectively.”
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].”
A review of antennas and propagation for MIMO wireless communications (2004, background): “systems with up to four antenna elements [61], [62].”
Fixing the Complexity of the Sphere Decoder for MIMO Detection (2008, background): “A more detailed description of the above channel model can be found in [16], [33].”