Matrix analysis
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Convex Optimization
An efficient square-root algorithm for BLAST
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Joint transceiver design for MIMO communications using geometric mean decomposition
IEEE Transactions on Signal Processing - Part I
Redundant filterbank precoders and equalizers. I. Unification andoptimal designs
IEEE Transactions on Signal Processing
Design of block transceivers with decision feedback detection
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Uniform channel decomposition for MIMO communications
IEEE Transactions on Signal Processing
Optimal diagonal precoder for multiantenna communication systems
IEEE Transactions on Signal Processing
Filterbank transceivers optimizing information rate in block transmissions over dispersive channels
IEEE Transactions on Information Theory
Performance limits of coded diversity methods for transmitter antenna arrays
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
Optimal sequences for CDMA with decision-feedback receivers
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Statistical precoding with decision feedback equalization over a correlated MIMO channel
IEEE Transactions on Signal Processing
Hi-index | 35.69 |
We consider the design of the precoder for a multi-input multi-output (MIMO) communication system equipped with a decision feedback equalizer (DFE) receiver. For such design problems, perfect knowledge of the channel state information (CSI) at both the transmitter and the receiver is usually required. However, in the environment of wireless communications, it is often difficult to provide sufficiently timely and accurate feedback of CSI from the receiver to the transmitter for such designs to be practically viable. In this paper, we consider the optimum design of a precoder for a wireless communication link having M transmitter antennas and N receiver antennas (M ), in which the channels are assumed to be flat fading and may be correlated. We assume that full knowledge of CSI is available at the receiver. At the transmitter, however, only the first-and second-order statistics of the channels are available. Our goal here is to come up with an efficient design of the optimal precoder for such a MIMO system by minimizing the average arithmetic mean-squared error (MSE) of zero-forcing (ZF) decision feed-back detection subject to a constraint on the total transmitting power. Applying some of the properties of the matrix parameters, this nonconvex optimization problem can be transformed into a convex geometrical programming problem which can then be efficiently solved using an interior point method. The performance of the MIMO system equipped with this optimum precoder and a ZF-DFE has also been found to be comparable, and in some cases, superior to that of V-BLAST which necessitates optimally ordered successive interference cancellation based on the largest postdetection signal-to-noise ratio (SNR). In terms of tradeoff between performance and implementation simplicity, our new system is certainly an attractive alternative.