Robust Performance Over Changing Intersymbol Interference Channels by Spatial Coupling
(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.
(Less)
- author
- Mashauri, Mgeni Makambi LU ; Graell I Amat, Alexandre and Lentmaier, Michael LU
- organization
- publishing date
- 2022
- 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}}, }