Linear dispersion codes for MIMO systems based on frame theory

By Robert W. Heath, Arogyaswami Paulraj. IEEE Transactions on Signal Processing, 2002

353 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e3d200dcdc1452a0d61795fd9135b3030a8bf07f

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Switching between diversity and multiplexing in MIMO systems (2005, methodology): “…capacity (with a suitable outer code) unlike diversity transmission [8], [9] but does not offer the same diversity gain as with MIMO diversity [10] R.W.Heath, Jr. is with the Department of Electrical and Computer Engineering, Wireless Networking and Communications Group, The University of…”
Universal space-time coding (2003, background): “real rotation [38] and ,13 and the corresponding code from [57] when using a 4-QAM constellation, at the same rate and number of transmit and receive antennas.”
Fusion frames and distributed processing (2006, neutral): “…stable and usually non-unique representations of vectors, have been a focus of study in the last two decades in applications where redundancy plays a vital and useful role, e.g., ﬁlter bank theory [6], sigma-delta quantization [4], signal and image processing [7], and wireless communications [19].”
Fusion frames and g-frames (2008, positive): “Nice properties of frames make them very useful in characterization of function spaces and other fields of applications such as filter bank theory [3], sigma–delta quantization [2], signal and image processing [4] and wireless communications [11].”
An Introduction to Frames (2008, background): “1 No one seems to know why they are called frames, perhaps because of the bounds in (3.8).”
Grassmannian beamforming for multiple-input multiple-output wireless systems (2003, background): “Multiple-input multiple-output (MIMO) wireless systems make use of the spatial dimension of the channel to provide considerable capacity [1], [2], increased resilience to fading [3]‐[5], or combinations of the two [6]‐[ 8 ].”
An optimal two transmit antenna space-time code and its stacked extensions (2003, background): “A linear dispersion code is said to be information lossless or capacity optimal [9] if the ergodic capacity of the effective channel seen by the information symbols is T times the ergodic capacity of the original multiple-input multiple-output (MIMO) channel.”