Signal Impropriety in Discrete Multi-Tone Systems and Widely Linear Per-Tone Equalization

In the context of digital subscriber line (DSL) systems, where the long-reach (LR) extension of G.fast has recently been proposed, interest in techniques dealing with long channel impulse responses (CIRs) without increasing the cyclic prefix (CP) length of the discrete multi-tone (DMT) modulation has recently resurfaced. The technique under consideration in this article is referred to as channel shortening, and applies FIR filters to the received signal to shorten the apparent CIR. Time-domain equalization (TEQ) as well optimal per-tone equalization (PTEQ) FIR filters will be considered. When channel shortening techniques are analyzed, it is often overlooked that the received signals after DMT demodulation are generally improper when the CP is too short. Hence, the state-of-the-art signal-to-interference-plus-noise ratio (SINR) and bit loading expressions employed to assess system performance, which implicitly assume the received signals to be proper, misrepresent the true achievable performance. New expressions for the SINR and bit loading are therefore presented that explicitly take signal impropriety into account. Based on these expressions, it is then observed that — if the received signals are improper — the PTEQ FIR filters are no longer optimal, and that the achievable bit loading depends on a particular phase shift experienced by the transmitted signals. This article therefore introduces a novel widely linear PTEQ — which is again optimal when the received signals are improper — and additionally proposes to optimally rotate signals in the complex plane prior to transmission. Finally, this article assesses the performance increase obtainable by explicitly accounting for signal impropriety.

[1]  John M. Cioffi,et al.  A Discrete Multitone Transceiver System for HDSL Applications , 1991, IEEE J. Sel. Areas Commun..

[2]  Marc Moonen,et al.  Sparse approximation based resource allocation in DSL/DMT transceivers with per-tone equalization , 2014, Signal Process..

[3]  Pascal Chevalier,et al.  Widely linear estimation with complex data , 1995, IEEE Trans. Signal Process..

[4]  Marc Moonen,et al.  Per tone equalization for DMT-based systems , 2001, IEEE Trans. Commun..

[5]  G. David Forney,et al.  Multidimensional constellations. I. Introduction, figures of merit, and generalized cross constellations , 1989, IEEE J. Sel. Areas Commun..

[6]  Wolfgang Utschick,et al.  Coexistence of G.fast and VDSL in FTTDP and FTTC deployments , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

[7]  Marc Moonen,et al.  Bitrate-maximizing time-domain equalizer design for DMT-based systems , 2003, IEEE Transactions on Communications.

[8]  Eduard A. Jorswieck,et al.  Improper Gaussian signaling on the two-user SISO interference channel , 2011, 2011 8th International Symposium on Wireless Communication Systems.

[9]  Michael Joham,et al.  A General Rate Duality of the MIMO Multiple Access Channel and the MIMO Broadcast Channel , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[10]  Brian L. Evans,et al.  Equalization for discrete multitone transceivers to maximize bit rate , 2001, IEEE Trans. Signal Process..

[11]  John M. Cioffi,et al.  Optimum finite-length equalization for multicarrier transceivers , 1996, IEEE Trans. Commun..

[12]  Christian Lameiro,et al.  Degrees-of-freedom for the 4-user SISO interference channel with improper signaling , 2013, 2013 IEEE International Conference on Communications (ICC).

[13]  Wolfgang Utschick,et al.  Block-Skew-Circulant Matrices in Complex-Valued Signal Processing , 2015, IEEE Transactions on Signal Processing.

[14]  Georg Tauböck,et al.  Complex Noise Analysis of DMT , 2007, IEEE Transactions on Signal Processing.

[15]  Erry Gunawan,et al.  Ieee Transactions on Signal Processing, Accepted 1 Transmit Optimization with Improper Gaussian Signaling for Interference Channels , 2022 .

[16]  Gottfried Ungerboeck,et al.  8rellis-Coded Modulation in DSL Systems , 2006 .

[17]  Erry Gunawan,et al.  Optimized Transmission with Improper Gaussian Signaling in the K-User MISO Interference Channel , 2013, IEEE Transactions on Wireless Communications.

[18]  Paschalis Tsiaflakis,et al.  Per-Tone Precoding and Per-Tone Equalization for OFDM and DMT Transmission Systems: Duality, Filter Optimization, and Resource Allocation , 2020, IEEE Open Journal of Signal Processing.

[19]  Frank Effenberger Future Broadband Access Networks [Point of View] , 2016, Proc. IEEE.

[20]  Romeo Giuliano,et al.  Analysis of Zero-Forcing Vectoring for VDSL2 and Long Reach VDSL Technologies , 2019, IEEE Transactions on Communications.

[21]  Werner Henkel,et al.  Maximizing the channel capacity of multicarrier transmission by suitable adaptation of the time-domain equalizer , 2000, IEEE Trans. Commun..

[22]  V. Cadambe,et al.  Interference alignment with asymmetric complex signaling , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[23]  Xian-Da Zhang,et al.  Matrix Analysis and Applications , 2017 .

[24]  Charles E. Rohrs,et al.  Impulse response shortening for discrete multitone transceivers , 1996, IEEE Trans. Commun..

[25]  Per Ola Börjesson,et al.  Simple and causal twisted-pair channel models for G.fast Systems , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[26]  Tülay Adali,et al.  Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety , 2011, IEEE Transactions on Signal Processing.

[27]  William A. Sethares,et al.  A blind adaptive TEQ for multicarrier systems , 2002, IEEE Signal Processing Letters.

[28]  Paschalis Tsiaflakis,et al.  MIMO Time Domain Equalizer Design for Long Reach xDSL MIMO Channel Shortening , 2020, IEEE Access.