MIMO channel modeling and the principle of maximum entropy

Debbah M, Müller R (2005)


Publication Status: Published

Publication Type: Journal article, Original article

Publication year: 2005

Journal

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 51

Pages Range: 1667-1690

Journal Issue: 5

DOI: 10.1109/TIT.2005.846388

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.

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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.

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