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IEEE Transactions on Information Theory
Article . 2013 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1109/isit.2...
Article . 2012 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2012
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Article . 2013
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Article . 2012
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The Jacobi MIMO Channel

Authors: Ronen Dar; Meir Feder; Mark Shtaif;

The Jacobi MIMO Channel

Abstract

This paper presents a new fading model for MIMO channels, the Jacobi fading model. It asserts that $H$, the transfer matrix which couples the $m_t$ inputs into $m_r$ outputs, is a sub-matrix of an $m\times m$ random (Haar-distributed) unitary matrix. The (squared) singular values of $H$ follow the law of the classical Jacobi ensemble of random matrices; hence the name of the channel. One motivation to define such a channel comes from multimode/multicore optical fiber communication. It turns out that this model can be qualitatively different than the Rayleigh model, leading to interesting practical and theoretical results. This work first evaluates the ergodic capacity of the channel. Then, it considers the non-ergodic case, where it analyzes the outage probability and the diversity-multiplexing tradeoff. In the case where $k=m_t+m_r-m > 0$ it is shown that at least $k$ degrees of freedom are guaranteed not to fade for any channel realization, enabling a zero outage probability or infinite diversity order at the corresponding rates. A simple scheme utilizing (a possibly outdated) channel state feedback is provided, attaining the no-outage guarantee. Finally, noting that as $m$ increases, the Jacobi model approaches the Rayleigh model, the paper discusses the applicability of the model in other communication scenaria.

27 pages, 7 figures

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Keywords

FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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