Joint transmitter-receiver optimization for multi-input multi-output systems with decision feedback

Unified Framework for Linear MIMO Transceivers With Shaping Constraints

“…Some other design criteria that have been considered include the minimization of the determinant of the MSE matrix [4], the maximization of the signal to interference-plus-noise ratio (SINR) with a zero-forcing (ZF) constraint [2], and the minimization of the bit error rate (BER) for ZF receivers [5]. In [6], a general framework that embraces the previous design criteria and generalizes upon them was developed based on Schur-convexity [7] (also with an average power constraint).…”

Decision feedback multiuser detection: a systematic approach

“…For asynchronous channels, the multivariate decision feedback equalizer that minimizes total mean-square error (as well as the geometric mean-squared error) was obtained by Yang and Roy [59]. Generalizing the D-DFD of the synchronous channel, a zero-forcing multiuser decision feedback equalizer (MDFE) was obtained by Duel-Hallen in [9] based on a classical result in minimum-phase multivariate spectral factorization by Wiener and Masani [55] and Davis [5].…”

“…Generalizing the D-DFD of the synchronous channel, a zero-forcing multiuser decision feedback equalizer (MDFE) was obtained by Duel-Hallen in [9] based on a classical result in minimum-phase multivariate spectral factorization by Wiener and Masani [55] and Davis [5]. The noise-whitening approach of [9] and the total MSE performance optimization in [59] can be regarded as multivariate extensions of the zero-forcing and MMSE decision feedback equalization for single-user ISI channels. Neither of those works, however, account for the effects of error propagation in analysis or design.…”

Layered space-time receivers for frequency-selective wireless channels

“…Similarly, we can arrange the feedback filter into matrices , 1 2 , with dimensionality . With that, we can express the estimate for stream at time as (16) where denotes the trace of a matrix. Using and , (16) can be rewritten as (17) Let us assume, for the time being, that previous decisions are correct, i.e., for all and .…”

“…They were studied in the past in the context of cross-coupled channels and dually polarized radio systems among other problems [14]- [16]. With the exploding interest in space-time processing and multiuser detection in recent years, MIMO DFEs have again attracted significant attention.…”