MIMO channel modeling and the principle of maximum entropy

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Debbah M, Müller R
Zeitschrift: IEEE Transactions on Information Theory
Verlag: Institute of Electrical and Electronics Engineers (IEEE)
Jahr der Veröffentlichung: 2005
Band: 51
Heftnummer: 5
Seitenbereich: 1667-1690
ISSN: 0018-9448


Abstract


We devise theoretical grounds for constructing channel models for multiple-input multiple-output (MIMO) systems based on information-theoretic tools. The paper provides a general method to derive a channel model which is consistent with one's state of knowledge. The framework we give here has already been fruitfully explored with success in the context of Bayesian spectrum analysis and parameter estimation. For each channel model, we conduct an asymptotic analysis (in the number of antennas) of the achievable transmission rate using tools from random matrix theory. A central limit theorem is provided on the asymptotic behavior of the mutual information and validated in the finite case by simulations. The results are useful both in terms of designing a system based on criteria such as quality of service and in optimizing transmissions in multiuser networks. © 2005 IEEE.


FAU-Autoren / FAU-Herausgeber

Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


Autor(en) der externen Einrichtung(en)
Institut Eurécom (EURECOM)


Zitierweisen

APA:
Debbah, M., & Müller, R. (2005). MIMO channel modeling and the principle of maximum entropy. IEEE Transactions on Information Theory, 51(5), 1667-1690. https://dx.doi.org/10.1109/TIT.2005.846388

MLA:
Debbah, Merouane, and Ralf Müller. "MIMO channel modeling and the principle of maximum entropy." IEEE Transactions on Information Theory 51.5 (2005): 1667-1690.

BibTeX: 

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