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18 - MIMO Gaussian multiple access channels

Published online by Cambridge University Press:  25 February 2010

Mehdi Mohseni
Affiliation:
Stanford University
Mark Brady
Affiliation:
Stanford University
John Cioffi
Affiliation:
Stanford University
H. Bölcskei
Affiliation:
ETH Zürich, Switzerland
D. Gesbert
Affiliation:
Eurecom Institute
C. B. Papadias
Affiliation:
Bell Labs, Lucent Technologies
A.-J. van der Veen
Affiliation:
Technische Universiteit Delft, The Netherlands
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Summary

From the earliest days of multiuser information theory (Ahlswede, 1971), multiple access channels (MACs) have assumed a prominent role and profited from the development of a rich theory. Recent years have seen these theoretical results find manifest application in MIMO fixed wireless, cellular voice/data uplink, “vectored” upstream DSL, and wireless LAN standards, to name only a few. The rapid pace of research and development continues in earnest, where both techniques to implement classical results as well as developing extensions to novel channel scenarios are of interest.

This chapter surveys classical and modern theoretical aspects of multiple access channels that are germane to the design of MIMO communications systems. The emphasis is upon design principles that arise naturally from information-theoretic considerations; to this end, it is fitting to focus on a class of MACs termed Gaussian MACs, for which a diverse body of literature exists under numerous channel scenarios. Detailed proofs of the results may be found in the references contained herein.

Channel models are considered in a paradigm of space, frequency, and time. The “space” dimension refers to the number of users and number of channel inputs and outputs (e.g., transmit and receive antennas), and their correlation. The “frequency” dimension refers to frequency-selectivity present in the channel. Finally, “time” refers to time-dependence of the channel process (i.e., fading). As one might expect, the qualitative results vary considerably based on the scenario being studied; more surprisingly, there are many commonalities that arise.

Type
Chapter
Information
Space-Time Wireless Systems
From Array Processing to MIMO Communications
, pp. 365 - 384
Publisher: Cambridge University Press
Print publication year: 2006

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