Title :
On the performance of space-time coded and spatially multiplexed MIMO systems with linear receivers
Author :
Vehkaperä, Mikko ; Juntti, Markku
Author_Institution :
Centre for Wireless Commun., Univ. of Oulu, Oulu, Finland
fDate :
2/1/2010 12:00:00 AM
Abstract :
We consider multi-antenna systems utilizing groupwise layered space-time coding. Simple, yet accurate approximations for the probability density function (PDF) of the signalto- interference-plus-noise ratio (SINR) at the output of a linear zero-forcing (ZF) and minimum mean square error (MMSE) data estimators are presented. It is shown that the derived PDFs are exact in the limit of large number of receive antennas. We also demonstrate via numerical examples that the approximations are accurate already for relatively small numbers of receive antennas. Closed form expressions in terms of some well-known special functions for the uncoded bit error probability as well as frame error probability (FEP) of turbo-like coded system with iterative sum-product based decoder are derived. For comparison, we also give analytical lower bounds for the FEP of a coded multiantenna system utilizing conventional spatial multiplexing and linear ZF or MMSE based estimator at the receiver.
Keywords :
MIMO communication; error statistics; iterative decoding; least mean squares methods; multiplexing; receivers; receiving antennas; space-time codes; bit error probability; frame error probability; iterative sum-product based decoder; linear receivers; linear zero-forcing; minimum mean square error methods; multi-antenna systems; probability density function; receive antennas; signal-to-interference-plus-noise ratio; space-time codes; spatially multiplexed MIMO systems; Error correction codes; Error probability; Iterative decoding; MIMO; Mean square error methods; Probability density function; Receiving antennas; Samarium; Signal to noise ratio; Wireless communication; Fading multiple-input multiple-output (MIMO); channel, space-time codes, iterative decoding, asymptotic analysis;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.02.080474