Title :
A simple SINR characterization for linear interference alignment over uncertain MIMO channels
Author :
Nosrat-Makouei, Behrang ; Andrews, Jeffrey G. ; Heath, Robert W., Jr.
Author_Institution :
Univ. of Texas at Austin, Austin, TX, USA
Abstract :
This paper provides a simple closed-form SINR expression for interference alignment over MIMO channels with channel uncertainty. Assuming linear processing (specifically, zero-forcing) at the transmitters and receivers and a complex Gaussian interference channel, we show that random matrix theory can be successfully applied to find the SINR distribution of each stream for each user with channel uncertainty. Perfect channel knowledge constitutes a special case. This SINR distribution allows easy calculation of useful performance metrics like symbol error-rate and achievable sum rate.
Keywords :
Gaussian channels; MIMO communication; adjacent channel interference; matrix algebra; Gaussian interference channel; MIMO channels; SINR characterization; channel uncertainty; linear interference alignment; random matrix theory; Cognitive radio; Decoding; Filters; Interference channels; MIMO; Measurement; Radio transmitters; Relays; Signal to noise ratio; Uncertainty;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513649