Elements of information theory
Elements of information theory
Principles of Digital Transmission: With Wireless Applications
Principles of Digital Transmission: With Wireless Applications
Principles of Digital Communication and Coding
Principles of Digital Communication and Coding
Convex Optimization
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Linear block precoding for OFDM systems based on maximization of mean cutoff rate
IEEE Transactions on Signal Processing
Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Applications of error-control coding
IEEE Transactions on Information Theory
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Filterbank transceivers optimizing information rate in block transmissions over dispersive channels
IEEE Transactions on Information Theory
Cutoff rate and signal design for the quasi-static Rayleigh-fading space-time channel
IEEE Transactions on Information Theory
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
Combining beamforming and orthogonal space-time block coding
IEEE Transactions on Information Theory
Quantized feedback information in orthogonal space-time block coding
IEEE Transactions on Information Theory
Efficient use of side information in multiple-antenna data transmission over fading channels
IEEE Journal on Selected Areas in Communications
| Hi-index | 35.68 |
This paper proposes a linear transmitter design that aims at minimizing the packet error rate (PER) using partial channel state information at the transmitter (CSIT). The design is based on the maximization of the channel cut-off rate, which provides an upper bound on the codeword error probability over the ensemble of random codes. The advantage of this optimization criterion is that it allows to get a low PER while keeping the design independent of the specific channel code used in the system. The algorithm is derived for a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system, and adopts a Bayesian approach to design an algorithm robust to CSI errors. The proposed algorithm converges to the open-loop transmission scheme for the case of no channel knowledge and it converges to the closed-loop design with perfect CSI for the case of no uncertainty. Simulation results evidence the performance gain in terms of PER and throughput of the proposed algorithm when compared to more commonly used optimization criteria.