Digital communications: fundamentals and applications
Digital communications: fundamentals and applications
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Space-Time Codes and MIMO Systems
Space-Time Codes and MIMO Systems
Linear dispersion codes for MIMO systems based on frame theory
IEEE Transactions on Signal Processing
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
Multiple-antenna capacity in the low-power regime
IEEE Transactions on Information Theory
Analysis of multiple-antenna wireless links at low SNR
IEEE Transactions on Information Theory
Antenna selection in MIMO systems
IEEE Communications Magazine
Analysis and performance of some basic space-time architectures
IEEE Journal on Selected Areas in Communications
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Multiple-Input Multiple-Output (MIMO) space-time processing (STP) enable wireless systems to operate with improved reliably and higher spectral efficiency than could previously be achieved through traditional means. The well known Bell Labs Layered Space-Time (BLAST) processing methods V-BLAST and D-BLAST are each designed to maximize link spectral efficiency and reliability respectively [11]. However, the simultaneous maximization of link reliability and link spectral efficiency are competing performance objectives. In addition, the performance of either of these methods is highly dependent on the MIMO channel environment that exists. The high signal-to-noise ratio (SNR) environment with spatially uncorrelated fading is known to be well conditioned to achieving spatial multiplexing gain through V-BLAST. In contrast, when fading is spatially correlated or at low SNR levels, the MIMO channel is much less able to support spatial multiplexing and performance may be improved through the additional diversity order provided by D-BLAST. This paper provides an overview of a novel adaptive layered space-time (LST) processing method, called Adaptive BLAST (A-BLAST). The A-BLAST approach is shown to be able to adapt to a broad range of MIMO channel environments, providing a significant performance improvement over the conventional non-adaptive BLAST methods.