A general framework for statistically characterizing the dynamics of MIMO channels

F. Javier Lopez-Martinez; Eduardo Martos-Naya; Jose F. Paris; Andrea Goldsmith

doi:10.1109/ITW.2013.6691244

A general framework for statistically characterizing the dynamics of MIMO channels

F. Javier Lopez-Martinez, Eduardo Martos-Naya, Jose F. Paris, Andrea Goldsmith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

In multiple-input multiple-output (MIMO) systems the communication channel can be split into s parallel single-input single-output eigenchannels. The channel gains associated with these eigenchannels depend on the magnitude of the eigenvalues of the complex random matrix that characterizes the MIMO channel. We present a general framework for the characterization of the dynamics of MIMO channels. In addition, we provide new analytical results for the distribution of the largest eigenvalue of two correlated Wishart matrices, which enable a direct evaluation of different system performance metrics such as the probability of two consecutive outages separated by a given time window, the level crossing rate and the average fade duration.

Original language	English (US)
Title of host publication	2013 IEEE Information Theory Workshop, ITW 2013
DOIs	https://doi.org/10.1109/ITW.2013.6691244
State	Published - 2013
Externally published	Yes
Event	2013 IEEE Information Theory Workshop, ITW 2013 - Seville, Spain Duration: Sep 9 2013 → Sep 13 2013

Publication series

Name	2013 IEEE Information Theory Workshop, ITW 2013

Other

Other	2013 IEEE Information Theory Workshop, ITW 2013
Country/Territory	Spain
City	Seville
Period	9/9/13 → 9/13/13

All Science Journal Classification (ASJC) codes

Information Systems

Keywords

Average fade duration
MIMO systems
Outage probability
Rayleigh fading
complex Wishart matrix
level crossing rate

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10.1109/ITW.2013.6691244

Cite this

@inproceedings{a9fcd8a4ef24439ba72738bdf142879a,

title = "A general framework for statistically characterizing the dynamics of MIMO channels",

abstract = "In multiple-input multiple-output (MIMO) systems the communication channel can be split into s parallel single-input single-output eigenchannels. The channel gains associated with these eigenchannels depend on the magnitude of the eigenvalues of the complex random matrix that characterizes the MIMO channel. We present a general framework for the characterization of the dynamics of MIMO channels. In addition, we provide new analytical results for the distribution of the largest eigenvalue of two correlated Wishart matrices, which enable a direct evaluation of different system performance metrics such as the probability of two consecutive outages separated by a given time window, the level crossing rate and the average fade duration.",

keywords = "Average fade duration, MIMO systems, Outage probability, Rayleigh fading, complex Wishart matrix, level crossing rate",

author = "Lopez-Martinez, {F. Javier} and Eduardo Martos-Naya and Paris, {Jose F.} and Andrea Goldsmith",

year = "2013",

doi = "10.1109/ITW.2013.6691244",

language = "English (US)",

isbn = "9781479913237",

series = "2013 IEEE Information Theory Workshop, ITW 2013",

booktitle = "2013 IEEE Information Theory Workshop, ITW 2013",

note = "2013 IEEE Information Theory Workshop, ITW 2013 ; Conference date: 09-09-2013 Through 13-09-2013",

}

Lopez-Martinez, FJ, Martos-Naya, E, Paris, JF & Goldsmith, A 2013, A general framework for statistically characterizing the dynamics of MIMO channels. in 2013 IEEE Information Theory Workshop, ITW 2013., 6691244, 2013 IEEE Information Theory Workshop, ITW 2013, 2013 IEEE Information Theory Workshop, ITW 2013, Seville, Spain, 9/9/13. https://doi.org/10.1109/ITW.2013.6691244

TY - GEN

T1 - A general framework for statistically characterizing the dynamics of MIMO channels

AU - Lopez-Martinez, F. Javier

AU - Martos-Naya, Eduardo

AU - Paris, Jose F.

AU - Goldsmith, Andrea

PY - 2013

Y1 - 2013

N2 - In multiple-input multiple-output (MIMO) systems the communication channel can be split into s parallel single-input single-output eigenchannels. The channel gains associated with these eigenchannels depend on the magnitude of the eigenvalues of the complex random matrix that characterizes the MIMO channel. We present a general framework for the characterization of the dynamics of MIMO channels. In addition, we provide new analytical results for the distribution of the largest eigenvalue of two correlated Wishart matrices, which enable a direct evaluation of different system performance metrics such as the probability of two consecutive outages separated by a given time window, the level crossing rate and the average fade duration.

AB - In multiple-input multiple-output (MIMO) systems the communication channel can be split into s parallel single-input single-output eigenchannels. The channel gains associated with these eigenchannels depend on the magnitude of the eigenvalues of the complex random matrix that characterizes the MIMO channel. We present a general framework for the characterization of the dynamics of MIMO channels. In addition, we provide new analytical results for the distribution of the largest eigenvalue of two correlated Wishart matrices, which enable a direct evaluation of different system performance metrics such as the probability of two consecutive outages separated by a given time window, the level crossing rate and the average fade duration.

KW - Average fade duration

KW - MIMO systems

KW - Outage probability

KW - Rayleigh fading

KW - complex Wishart matrix

KW - level crossing rate

UR - http://www.scopus.com/inward/record.url?scp=84893253603&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893253603&partnerID=8YFLogxK

U2 - 10.1109/ITW.2013.6691244

DO - 10.1109/ITW.2013.6691244

M3 - Conference contribution

AN - SCOPUS:84893253603

SN - 9781479913237

T3 - 2013 IEEE Information Theory Workshop, ITW 2013

BT - 2013 IEEE Information Theory Workshop, ITW 2013

T2 - 2013 IEEE Information Theory Workshop, ITW 2013

Y2 - 9 September 2013 through 13 September 2013

ER -

A general framework for statistically characterizing the dynamics of MIMO channels

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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