Title :
Mutual Information Expansion for MIMO Systems and Capacity Formulae at Low SNR
Author :
Ioannou, Ioanna ; Charalambous, Charalambos D. ; Denic, Stojan
Author_Institution :
Univ. of Cyprus, Nicosia, Cyprus
fDate :
3/1/2011 12:00:00 AM
Abstract :
The paper introduces a new asymptotic series expansion for the mutual information of multiple-input multiple-output (MIMO) channels. The expansion approaches mutual information from below, and for low signal to noise ratio (SNR) first and second order terms give a tight lower bound. The low SNR approximation is used to derive a new water-filling power allocation at the transmitter for the case when the receiver and the transmitter have perfect channel state information. The low SNR approximation is also compared against existing approximations, while the new water-filling policy is related to minimum mean square decoding subject to power constraint.
Keywords :
MIMO communication; least mean squares methods; telecommunication channels; MIMO systems; SNR approximation; capacity formulae; channel state information; low signal to noise ratio; lower bound; minimum mean square decoding; multiple input multiple output channels; mutual information expansion; power constraint; water-filling power allocation; Approximation methods; Eigenvalues and eigenfunctions; MIMO; Mutual information; Resource management; Signal to noise ratio; Upper bound; Mutual information expansion; channel capacity; low SNR;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2011.012511.102277