On a model and capacity of MIMO channels

On a model and capacity of MIMO channels A model of a MIMO fading channel is considered which does not assume that the discrete-time axis is divided into long intervals with a constant channel. It assumes only that there are ℓ possible states (or subchannels) of the channels, and at each moment both the transmitter and receiver know the channel state. The average input power in the subchannels can be different and not equal to the average input power over the full time axis. We obtain a lower bound for the capacity of the considered vector channel. Also, we consider a vector channel with one transmitting and two or more receiving antennas. We obtain optimum distributions of the average power over the subchannels and lower bounds for the channel capacity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Problems of Information Transmission Springer Journals

On a model and capacity of MIMO channels

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Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2011 by Pleiades Publishing, Ltd.
Subject
Engineering; Communications Engineering, Networks; Systems Theory, Control; Information Storage and Retrieval; Electrical Engineering
ISSN
0032-9460
eISSN
1608-3253
D.O.I.
10.1134/S0032946011020025
Publisher site
See Article on Publisher Site

Abstract

A model of a MIMO fading channel is considered which does not assume that the discrete-time axis is divided into long intervals with a constant channel. It assumes only that there are ℓ possible states (or subchannels) of the channels, and at each moment both the transmitter and receiver know the channel state. The average input power in the subchannels can be different and not equal to the average input power over the full time axis. We obtain a lower bound for the capacity of the considered vector channel. Also, we consider a vector channel with one transmitting and two or more receiving antennas. We obtain optimum distributions of the average power over the subchannels and lower bounds for the channel capacity.

Journal

Problems of Information TransmissionSpringer Journals

Published: Jul 14, 2011

References

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