Per-antenna rate and power control for MIMO layered architectures in the low- and high-power regimes
IEEE Transactions on Communications
MIMO transceiver optimization with linear constraints on transmitted signal covariance components
IEEE Transactions on Signal Processing
Achievable sum rate of MIMO MMSE receivers: a general analytic framework
IEEE Transactions on Information Theory
On Multiple Access Using H-ARQ with SIC Techniques for Wireless Ad Hoc Networks
Wireless Personal Communications: An International Journal
| Hi-index | 754.90 |
A framework is presented that allows a number of known results relating feedback equalization, linear prediction, and mutual information to be easily understood. A lossless, additive decomposition of mutual information in a general class of Gaussian channels is introduced and shown to produce an information-preserving canonical decision-feedback receiver. The approach is applied to intersymbol interference (ISI) channels to derive the well-known minimum mean-square error (MMSE) decision-feedback equalizer (DFE). When applied to the synchronous code-division multiple-access (CDMA) channel, the result is the MMSE (or signal-to-interference ratio (SIR) maximizing) decision-feedback detector, which is shown to achieve the channel sum-capacity at the vertices of the capacity region. Finally, in the case of the asynchronous CDMA channel we are able to give new connections between information theory, decision-feedback receivers, and structured factorizations of multivariate spectra.