Channel capacity of MIMO architecture using the exponential correlation matrix

By Sergey L. Loyka. IEEE Communications Letters, 2001

884 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8779a049f4d5cc5c4fa14898da525a7134dc04a5

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination (2019, background): “Spatial correlation was initially viewed as detrimental in the early papers on MIMO communications, since this is the case for high-data rate communications over single-user MIMO channels [39], [45].”
Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis (2019, methodology): “located in a circular regime, whose center is 10 m away from the IRS and 105 m away from the BS, and radius is 5 m. For the correlation matrix CB k , we adopt the exponential correlation matrix model [31], where the element in the ith row and jth column is denoted by [CB k] i,j =(c B)i−j if i ≥ j, a”
Space shift keying modulation for MIMO channels (2009, methodology): “In our presentation of SC, we obtain the correlation matrices according to [48]”
A review of antennas and propagation for MIMO wireless communications (2004, background): “[37], [60]–[62], can be created with the form ,”
Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits (2013, methodology): “The channel covariance matrix R is generated by the exponential correlation model from [39], which means that the (i, j)th element of R is”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, methodology): “The spatial directivity is specified by the off-diagonal elements in Rk and the exponential correlation model in [162] provides a simple parametrization.”
Intelligent Reflecting Surface Enhanced Wireless Networks: Two-Timescale Beamforming Optimization (2019, methodology): “Moreover, we consider the following exponential correlation model for Φd [43]–[45]: Φd(i, j) = rj−i d , if i ≤ j, Φd(j, i), if i > j, (28)”
Outdoor MIMO wireless channels: models and performance prediction (2002, background): “The influence of spatial fading correlation at either the transmit or the receive side of a wireless MIMO radio link has been addressed in [22], [23], and [27].”
Space-Time Block Coded Spatial Modulation (2011, positive): “In our simulations, we assume that these matrices are obtained from the exponential correlation matrix model [ 23 ], i.e., their components are calculated as �� = �� ∗ = �� −�� for �� ≤ �� where”
Model-Driven Deep Learning for MIMO Detection (2020, positive): “…by the Kronecker model, where R R and R T are the spatial correlation matrix at the receiver and the transmitter, respectively, and are generated according to the exponential correlation model [44] with the same correlation coefﬁcient ρ , and G is the i.i.d. Rayleigh fading channel matrix.”
Massive MIMO Has Unlimited Capacity (2017, background): “The BSs are located at the four corners of the area and the UEs are all located at the cell edges and have similar but non-identical AoAs and distances to the BSs.”