Topics in matrix analysis
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Handbook of Mathematical Functions, With Formulas, Graphs, and Mathematical Tables,
Multimode precoding for MIMO wireless systems
IEEE Transactions on Signal Processing - Part I
Designing MIMO communication systems: constellation choice and linear transceiver design
IEEE Transactions on Signal Processing - Part I
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
Optimal designs for space-time linear precoders and decoders
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Minimum BER block precoders for zero-forcing equalization
IEEE Transactions on Signal Processing
Minimum BER linear transceivers for MIMO channels via primal decomposition
IEEE Transactions on Signal Processing - Part I
High-SNR Analytical Performance of Spatial Multiplexing MIMO Systems With CSI
IEEE Transactions on Signal Processing
On the capacity of spatially correlated MIMO Rayleigh-fading channels
IEEE Transactions on Information Theory
Adaptive modulation and MIMO coding for broadband wireless data networks
IEEE Communications Magazine
On marginal distributions of the ordered eigenvalues of certain random matrices
EURASIP Journal on Advances in Signal Processing
Hi-index | 35.68 |
MIMO systems with perfect channel state information at both sides of the link can adapt to the instantaneous channel conditions to optimize the spectral efficiency and/or the reliability of the communication. A low-complexity approach is the use of linear MIMO transceivers which are composed of a linear precoder at the transmitter and a linear equalizer at the receiver. The design of linear transceivers has been extensively studied in the literature with a variety of cost functions. In this paper, we focus on the minimum BER design, and show that the common practice of fixing a priori the number of data symbols to be transmitted per channel use inherently limits the diversity gain of the system. By introducing the number of symbols in the optimization process, we propose a minimum BER linear precoding scheme that achieves the full diversity of the MIMO channel. For the cases of uncorrelated/ semicorrelated Rayleigh and uncorrelated Rician fading, the average BER performance of both schemes is analytically analyzed and characterized in terms of two key parameters: the array gain and the diversity gain.