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Robust Performance Over Changing Intersymbol Interference Channels by Spatial Coupling

Mashauri, Mgeni Makambi LU ; Graell I Amat, Alexandre and Lentmaier, Michael LU (2022) 2022 IEEE International Conference on Communications, ICC 2022 p.2924-2929
Abstract

We show that spatially coupled low-density parity-check (LDPC) codes yield robust performance over changing intersymbol interfere (ISI) channels with optimal and suboptimal detectors. We compare the performance with classical LDPC code design which involves optimizing the degree distribution for a given (known) channel. We demonstrate that these classical schemes, despite working very good when designed for a given channel, can perform poorly if the channel is exchanged. With spatially coupled LDPC codes, however, we get performances close to the symmetric information rates with just a single code, without the need to know the channel and adapt to it at the transmitter. We also investigate threshold saturation with the linear minimum... (More)

We show that spatially coupled low-density parity-check (LDPC) codes yield robust performance over changing intersymbol interfere (ISI) channels with optimal and suboptimal detectors. We compare the performance with classical LDPC code design which involves optimizing the degree distribution for a given (known) channel. We demonstrate that these classical schemes, despite working very good when designed for a given channel, can perform poorly if the channel is exchanged. With spatially coupled LDPC codes, however, we get performances close to the symmetric information rates with just a single code, without the need to know the channel and adapt to it at the transmitter. We also investigate threshold saturation with the linear minimum mean square error (LMMSE) detector and show that with spatial coupling its performance can get remarkably close to that of an optimal detector for regular LDPC codes.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
ICC 2022 - IEEE International Conference on Communications
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2022 IEEE International Conference on Communications, ICC 2022
conference location
Seoul, Korea, Republic of
conference dates
2022-05-16 - 2022-05-20
external identifiers
  • scopus:85137264488
ISBN
9781538683477
DOI
10.1109/ICC45855.2022.9838435
language
English
LU publication?
yes
id
49a785b6-bde0-4de3-bf7f-5455c4dd270a
date added to LUP
2022-11-21 14:12:03
date last changed
2023-11-21 13:01:30
@inproceedings{49a785b6-bde0-4de3-bf7f-5455c4dd270a,
  abstract     = {{<p>We show that spatially coupled low-density parity-check (LDPC) codes yield robust performance over changing intersymbol interfere (ISI) channels with optimal and suboptimal detectors. We compare the performance with classical LDPC code design which involves optimizing the degree distribution for a given (known) channel. We demonstrate that these classical schemes, despite working very good when designed for a given channel, can perform poorly if the channel is exchanged. With spatially coupled LDPC codes, however, we get performances close to the symmetric information rates with just a single code, without the need to know the channel and adapt to it at the transmitter. We also investigate threshold saturation with the linear minimum mean square error (LMMSE) detector and show that with spatial coupling its performance can get remarkably close to that of an optimal detector for regular LDPC codes.</p>}},
  author       = {{Mashauri, Mgeni Makambi and Graell I Amat, Alexandre and Lentmaier, Michael}},
  booktitle    = {{ICC 2022 - IEEE International Conference on Communications}},
  isbn         = {{9781538683477}},
  language     = {{eng}},
  pages        = {{2924--2929}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Robust Performance Over Changing Intersymbol Interference Channels by Spatial Coupling}},
  url          = {{http://dx.doi.org/10.1109/ICC45855.2022.9838435}},
  doi          = {{10.1109/ICC45855.2022.9838435}},
  year         = {{2022}},
}