Title :
New compound upper bound on MIMO channel capacity
Author :
Loyka, Sergey ; Kouki, Ammar
Author_Institution :
Sch. of Inf. Technol. & Eng. (SITE), Ottawa Univ., Ont., Canada
fDate :
3/1/2002 12:00:00 AM
Abstract :
MIMO channel capacity may be severely degraded due to correlation between individual sub-channels of the matrix channel. Several models, which are limited to some specific scenarios, have been developed to date to account for this effect. In this letter, we derive a new upper bound on the mean (ergodic) MIMO capacity, which is not limited to a particular scenario and accounts for both transmit (Tx) and receive (Rx) end correlations in such a way that their impact can be estimated separately and compared. Thus, a conclusion can be made as to which end contributes more to capacity reduction. In general, the higher correlated end has a dominant effect on the capacity.
Keywords :
MIMO systems; channel capacity; correlation theory; MIMO channel capacity; additive white Gaussian noise; capacity reduction; compound upper bound; correlation; ergodic MIMO capacity; matrix channel; mean MIMO capacity; sub-channels; Channel capacity; Degradation; Diversity reception; Eigenvalues and eigenfunctions; Information technology; Linear matrix inequalities; MIMO; Scattering; Upper bound; Wireless communication;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.991144