A Phenomenological Study on Threshold Improvement via Spatial Coupling

Keigo TAKEUCHI; Toshiyuki TANAKA; Tsutomu KAWABATA

doi:10.1587/transfun.E95.A.974

A Phenomenological Study on Threshold Improvement via Spatial Coupling

Keigo TAKEUCHI, Toshiyuki TANAKA, Tsutomu KAWABATA

Full Text Views

0

Share
Cite this

Summary :

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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.5 pp.974-977

Publication Date: 2012/05/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E95.A.974

Type of Manuscript: LETTER

Category: Information Theory

Cite this

Copy

Keigo TAKEUCHI, Toshiyuki TANAKA, Tsutomu KAWABATA, "A Phenomenological Study on Threshold Improvement via Spatial Coupling" in IEICE TRANSACTIONS on Fundamentals, vol. E95-A, no. 5, pp. 974-977, May 2012, doi: 10.1587/transfun.E95.A.974.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E95.A.974/_p

Copy

@ARTICLE{e95-a_5_974,
author={Keigo TAKEUCHI, Toshiyuki TANAKA, Tsutomu KAWABATA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Phenomenological Study on Threshold Improvement via Spatial Coupling},
year={2012},
volume={E95-A},
number={5},
pages={974-977},
abstract={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.},
keywords={},
doi={10.1587/transfun.E95.A.974},
ISSN={1745-1337},
month={May},}

Copy

TY - JOUR
TI - A Phenomenological Study on Threshold Improvement via Spatial Coupling
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 974
EP - 977
AU - Keigo TAKEUCHI
AU - Toshiyuki TANAKA
AU - Tsutomu KAWABATA
PY - 2012
DO - 10.1587/transfun.E95.A.974
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E95-A
IS - 5
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - May 2012
AB - 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.
ER -