Title :
SINR distribution of MIMO MMSE receiver
Author :
Moustakas, Aris L.
Author_Institution :
Phys. Dept., Athens Univ., Athens, Greece
fDate :
July 31 2011-Aug. 5 2011
Abstract :
Linear MMSE reception offers a low complexity option for multi-antenna communication systems. Understanding the outage behavior of the corresponding signal-to-interference-and-noise ratio (SINR) and per-antenna throughput r is important in a quasistatic mobile environment. In this paper we introduce a large deviations method, valid nominally for large antenna numbers N, which calculates the probability density of the SINR and r of Gaussian channel MIMO MMSE receivers, with arbitrary transmission power profiles and in the presence of transmitter antenna correlations. This approach extends the Gaussian approximation of the SINR, valid only very close to the center of the distribution, demonstrating the non-Gaussian tails of the distribution. Our methodology allows us to calculate the correct leading order (O(N)) of the SINR distribution and showcase the deviations from approximations that have appeared in the literature (e.g. the Gaussian or the generalized Gamma distribution). We are also able to calculate next-to-leading order corrections to the distribution, thereby making the approximation quite accurate even for the smallest antenna arrays (2 × 2).
Keywords :
Gaussian channels; MIMO communication; antenna arrays; approximation theory; communication complexity; probability; radio receivers; transmitting antennas; Gaussian approximation; Gaussian channel MIMO MMSE receiver; SINR distribution; antenna arrays; arbitrary transmission power profile; deviations method; linear MMSE reception; low complexity option; multiantenna communication system; next-to-leading order correction; nonGaussian tails; outage behavior; per-antenna throughput; probability density; quasistatic mobile environment; signal-to-interference-and-noise ratio; transmitter antenna correlation; Approximation methods; Interference; MIMO; Probability density function; Receiving antennas; Signal to noise ratio; Gaussian approximation; information capacity; large-system limit; multiple-input multiple-output (MIMO) channels;
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2011.6034276