A Phenomenological Study on Threshold Improvement via Spatial Coupling

Kudekar et al. proved an interesting result in low-density parity-check (LDPC) convolutional codes: The belief-propagation (BP) threshold is boosted to the maximum-a-posteriori (MAP) threshold by spatial coupling. Furthermore, the authors showed that the BP threshold for code-division multiple-access (CDMA) systems is improved up to the optimal one via spatial coupling. In this letter, a phenomenological model for elucidating the essence of these phenomenon, called threshold improvement, is proposed. The main result implies that threshold improvement occurs for spatially-coupled general graphical models.

[1]  Gerhard Fettweis,et al.  On the thresholds of generalized LDPC convolutional codes based on protographs , 2010, 2010 IEEE International Symposium on Information Theory.

[2]  Rüdiger L. Urbanke,et al.  Modern Coding Theory , 2008 .

[3]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[4]  Y. Kabashima A CDMA multiuser detection algorithm on the basis of belief propagation , 2003 .

[5]  A. Schmid,et al.  A time dependent Ginzburg-Landau equation and its application to the problem of resistivity in the mixed state , 1966 .

[6]  Rüdiger L. Urbanke,et al.  Threshold Saturation via Spatial Coupling: Why Convolutional LDPC Ensembles Perform So Well over the BEC , 2010, IEEE Transactions on Information Theory.

[7]  Toshiyuki Tanaka,et al.  Improvement of BP-based CDMA multiuser detection by spatial coupling , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[8]  Nicolas Macris,et al.  Coupled graphical models and their thresholds , 2010, 2010 IEEE Information Theory Workshop.

[9]  Kenta Kasai,et al.  Spatially-coupled MacKay-Neal codes and Hsu-Anastasopoulos codes , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[10]  Michael Lentmaier,et al.  Convergence analysis for a class of LDPC convolutional codes on the erasure channel , 2004 .

[11]  P. A. Rikvold,et al.  Dynamic phase transition in a time-dependent Ginzburg-Landau model in an oscillating field. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Kamil Sh. Zigangirov,et al.  Time-varying periodic convolutional codes with low-density parity-check matrix , 1999, IEEE Trans. Inf. Theory.

[13]  William T. Freeman,et al.  Constructing free-energy approximations and generalized belief propagation algorithms , 2005, IEEE Transactions on Information Theory.