Title :
Sum mutual information of block-faded MIMO MAC with LMMSE channel estimation for packet transmission
Author :
Dall´Anese, Emiliano ; Pupolin, Silvano ; Assalini, Antonio
Author_Institution :
Dept. of Electr. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
The effect of a training-based linear minimum mean squared error (LMMSE) channel estimator on the sum mutual information of the multiple-input multiple-output (MIMO) multiple access channel (MAC) is investigated. The contribution of the present work consists in relating information-theoretic bounds on the sum mutual information with practical system parameters that impact on the training-based LMMSE MIMO channel estimator. The unboundness of the sum mutual information and conservation of the multiplexing gain are shown for a block fading channel model even in the presence of channel estimation errors. Then, as an application of the bounds, mutual information-maximizing power allocation strategies under total energy constraints are considered.
Keywords :
MIMO communication; channel estimation; fading channels; information theory; least mean squares methods; LMMSE channel estimation; block fading channel model; block-faded MIMO MAC; information-theoretic bounds; linear minimum mean squared error; multiple-input multiple-output multiple access channel; packet transmission; sum mutual information; Channel estimation; Correlation; Covariance matrix; MIMO; Mutual information; Signal to noise ratio; Training;
Conference_Titel :
Wireless Personal Multimedia Communications (WPMC), 2011 14th International Symposium on
Conference_Location :
Brest
Print_ISBN :
978-1-4577-1786-4
Electronic_ISBN :
1347-6890
