A super-nyquist architecture for reliable underwater acoustic communication

A natural joint physical and link layer transmission architecture is developed for communication over underwater acoustic channels, based on the concept of super-Nyquist (SNQ) signaling. In such systems, the signaling rate is chosen significantly higher than the Nyquist rate of the system. We show that such signaling can be used in conjunction with good “off-the-shelf” base codes, simple linear redundancy, and minimum mean-square error decision feedback equalization (MMSE-DFE) to produce highly efficient, low complexity rateless (i.e., “fountain”) codes for the severe time-varying intersymbol-interference channels typical of this application. We show that not only can SNQ rateless codes approach capacity arbitrarily closely, but even particularly simple SNQ-based rateless codes require the transmission of dramatically fewer packets than does traditional ARQ with Chase combining.

[1]  Gregory W. Wornell,et al.  Time-invariant rateless codes for MIMO channels , 2008, 2008 IEEE International Symposium on Information Theory.

[2]  Michael Luby,et al.  LT codes , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

[3]  G. J. Foschini,et al.  Contrasting performance of faster binary signaling with QAM , 1984, AT&T Bell Laboratories Technical Journal.

[4]  Gregory W. Wornell,et al.  Rateless Coding for Gaussian Channels , 2007, IEEE Transactions on Information Theory.

[5]  M. Stojanovic,et al.  Underwater Acoustic Communications: Design Considerations on the Physical Layer , 2008, 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services.

[6]  Gregory W. Wornell,et al.  Rateless Coding and Perfect Rate-Compatible Codes for Gaussian Channels , 2006, 2006 IEEE International Symposium on Information Theory.

[7]  Fredrik Rusek,et al.  Faster-Than-Nyquist Signaling , 2013, Proceedings of the IEEE.

[8]  Mahesh K. Varanasi,et al.  An information-theoretic framework for deriving canonical decision-feedback receivers in Gaussian channels , 2005, IEEE Transactions on Information Theory.

[9]  Milica Stojanovic,et al.  Underwater Acoustic Communications and Networking: Recent Advances and Future Challenges , 2008 .

[10]  G. David Forney,et al.  Shannon meets Wiener II: On MMSE estimation in successive decoding schemes , 2004, ArXiv.

[11]  Milica Stojanovic,et al.  Recent advances in high-speed underwater acoustic communications , 1996 .

[12]  Henry J. Landau,et al.  On the minimum distance problem for faster-than-Nyquist signaling , 1988, IEEE Trans. Inf. Theory.

[13]  Alexandra Duel-Hallen,et al.  Delayed decision-feedback sequence estimation , 1989, IEEE Trans. Commun..