On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Fundamentals of wireless communication
Fundamentals of wireless communication
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Combined array processing and space-time coding
IEEE Transactions on Information Theory
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
Analyzing the turbo decoder using the Gaussian approximation
IEEE Transactions on Information Theory
A new approach to layered space-time coding and signal processing
IEEE Transactions on Information Theory
High-rate codes that are linear in space and time
IEEE Transactions on Information Theory
On low-complexity space-time coding for quasi-static channels
IEEE Transactions on Information Theory
On the distribution of SINR for the MMSE MIMO receiver and performance analysis
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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We consider multi-antenna systems utilizing groupwise layered space-time coding. Simple, yet accurate approximations for the probability density function (PDF) of the signal-to-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.