Sensitivity of nonlinear precoding to imperfect channel state information in G.fast

Nonlinear Tomlinson-Harashima precoding has been proposed as a near-optimal interference mitigation technique for downstream transmission in G.fast systems, particularly in the transmit spectrum above 106 MHz. We propose an alternative implementation of Tomlinson-Harashima precoding and examine performance of the common and alternative implementations with respect to quantization errors and imperfect channel state information. We show that Tomlinson-Harashima precoding is more sensitive than optimized linear precoding to varying channel state information due to fluctuations in ambient conditions and sudden changes in termination impedance. We also show that Tomlinson-Harashima precoding only outperforms optimized linear precoding when the channel state information is almost perfectly known.

[1]  Robert F. H. Fischer,et al.  Low-complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction , 2003, Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674).

[2]  László Lovász,et al.  Factoring polynomials with rational coefficients , 1982 .

[3]  Michaël Peeters,et al.  Statistical MIMO Channel Model for Gain Quantification of DSL Crosstalk Mitigation Techniques , 2009, 2009 IEEE International Conference on Communications.

[4]  Paschalis Tsiaflakis,et al.  Power optimization in vectored and non-vectored G.fast transmission , 2014, 2014 IEEE Global Communications Conference.

[5]  H. Miyakawa,et al.  Matched-Transmission Technique for Channels With Intersymbol Interference , 1972, IEEE Trans. Commun..

[6]  Paschalis Tsiaflakis,et al.  Novel bitloading algorithms for coded G.fast DSL transmission with linear and nonlinear precoding , 2015, 2015 IEEE International Conference on Communications (ICC).

[7]  Driton Statovci,et al.  Analysis of fast initialization for vectored wireline systems , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[8]  Andrea Matera,et al.  Ordered Tomlinson-Harashima Precoding in G.fast Downstream , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[9]  Adriaan J. de Lind van Wijngaarden,et al.  Pilot-based crosstalk channel estimation for vector-enabled VDSL systems , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

[10]  Dong Wei,et al.  Modeling Alien-Line Impedance Mismatch in Wideband Vectored Wireline Systems , 2014, IEEE Communications Letters.

[11]  Paschalis Tsiaflakis,et al.  Linear and Nonlinear Precoding Based Dynamic Spectrum Management for Downstream Vectored G.fast Transmission , 2014, IEEE Transactions on Communications.

[12]  John M. Cioffi,et al.  Vectored transmission for digital subscriber line systems , 2002, IEEE J. Sel. Areas Commun..

[13]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[14]  Wolfgang Utschick,et al.  Zero-Forcing and MMSE Precoding for G.fast , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[15]  Marc Moonen,et al.  A Near-Optimal Linear Crosstalk Precoder for Downstream VDSL , 2007, IEEE Transactions on Communications.

[16]  M. Tomlinson New automatic equaliser employing modulo arithmetic , 1971 .