Array gain and capacity for known random channels with multiple element arrays at both ends

By Jørgen Bach Andersen. IEEE Journal on Selected Areas in Communications, 2000

506 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9773cc8bf3fa44dd1598e2da83d3aefbabb6fee8

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In Aerospace Engineering

In Computer Networks and Communications

In Signal Processing

Citations in the corpus

MIMO wireless channels: capacity and performance prediction (2000, background): “Finally we show that even at long ranges high channel rank can easily be obtained under mild scattering conditions.”
Random Matrix Theory and Wireless Communications (2004, background): “Non-asymptotically in the number of antennas, the capacity with full transmit CSI is studied in [4, 127].”
A review of antennas and propagation for MIMO wireless communications (2004, background): “Therefore, beamforming using the singular vectors of as array weights has produced eigenpatterns that create independent (spatially orthogonal) parallel communication channels in themultipath environment (see [8] for detailed discussion).”
Wireless mesh networks: a survey (2005, methodology): “The processing techniques can be based on maximum likelihood detection (MLD), vertical Bell Lab Layered Space–Time (V-BLAST) [51], singular value decomposition (SVD) [13], and space–time coding.”
A stochastic MIMO radio channel model with experimental validation (2002, methodology): “…the set of eigenvalues , the power allocated to each subchannel is determined to maximize the capacity by using Gallager’s water filling theorem [26] such that each subchannel is filled up to a common level , i.e., (18) with a constraint on the total Tx power such that (19) where is the total…”
From theory to practice: an overview of MIMO space-time coded wireless systems (2003, unknown): “[36], [40], [49], [50].”
Reducing the Number of Elements in a Linear Antenna Array by the Matrix Pencil Method (2008, background): “Some early studies in relevant applications include [17], [18] in field synthesis and [19] in optimal beamforming for MIMO systems.”
EFFECT OF ANTENNA ARRAY GEOMETRY AND ULA AZIMUTHAL ORIENTATION ON MIMO CHANNEL PROPERTIES IN URBAN CITY STREET GRID (2006, unknown): “While the number of the non zero eigenvalues reﬂects the spatial multiplexing gain [17] that can be obtained over a given channel, the eigenvalues represent the power gain [18] in each spatial channel.”
A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms (2000, methodology): “If optimum power allocation is applied instead, then it can be obtained by using theWater filling theorem as discussed in [30].”
Antenna systems for broadband wireless access (2002, methodology): “Several techniques for achieving these advantages have been investigated, including MLD (Maximum likelihood detection) [12], V-BLAST (Vertical Bell Laboratories Layered Space-Time) [13], and Singular Value Decomposition based (SVD) [14,15] or space-time coding [16].”
Spectral efficiency in the wideband regime (2002, unknown): “[32]).”
Outdoor MIMO wireless channels: models and performance prediction (2002, background): “A detailed treatment of array gain and capacity of MIMO channels for the case where both the transmitter and the receiver know the channel can be found in [7].”