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Spatial Coupling in Turbo Equalization

Mashauri, Mgeni Makambi LU and Lentmaier, Michael LU (2020) 2020 IEEE Global Communications Conference, GLOBECOM 2020
Abstract

In this paper we consider spatial coupling in turbo equalization and demonstrate that the code design trade-off between the performance in waterfall and error floor regions can be avoided. We introduce three coupling schemes and compare their performances, where the first method introduces coupling between the encoder and the channel, while the second uses a spatially coupled (SC) code. In the third scheme we use both a coupled code and couple between the code and the channel. We show by computer simulations that, with spatial coupling, we can have good performance in both the error floor and the waterfall region with reasonable decoding latency by using a window decoder. We show this for both the maximum a posteriori (MAP) and linear... (More)

In this paper we consider spatial coupling in turbo equalization and demonstrate that the code design trade-off between the performance in waterfall and error floor regions can be avoided. We introduce three coupling schemes and compare their performances, where the first method introduces coupling between the encoder and the channel, while the second uses a spatially coupled (SC) code. In the third scheme we use both a coupled code and couple between the code and the channel. We show by computer simulations that, with spatial coupling, we can have good performance in both the error floor and the waterfall region with reasonable decoding latency by using a window decoder. We show this for both the maximum a posteriori (MAP) and linear minimum mean square (MMSE) equalizers.

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Please use this url to cite or link to this publication:
author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
article number
9348218
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2020 IEEE Global Communications Conference, GLOBECOM 2020
conference location
Virtual, Taipei, Taiwan
conference dates
2020-12-07 - 2020-12-11
external identifiers
  • scopus:85101267141
ISBN
9781728182988
DOI
10.1109/GLOBECOM42002.2020.9348218
language
English
LU publication?
yes
id
81856a31-0052-4969-8654-f68da7766935
date added to LUP
2021-03-11 11:55:26
date last changed
2022-06-10 09:29:12
@inproceedings{81856a31-0052-4969-8654-f68da7766935,
  abstract     = {{<p>In this paper we consider spatial coupling in turbo equalization and demonstrate that the code design trade-off between the performance in waterfall and error floor regions can be avoided. We introduce three coupling schemes and compare their performances, where the first method introduces coupling between the encoder and the channel, while the second uses a spatially coupled (SC) code. In the third scheme we use both a coupled code and couple between the code and the channel. We show by computer simulations that, with spatial coupling, we can have good performance in both the error floor and the waterfall region with reasonable decoding latency by using a window decoder. We show this for both the maximum a posteriori (MAP) and linear minimum mean square (MMSE) equalizers. </p>}},
  author       = {{Mashauri, Mgeni Makambi and Lentmaier, Michael}},
  booktitle    = {{2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings}},
  isbn         = {{9781728182988}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Spatial Coupling in Turbo Equalization}},
  url          = {{https://lup.lub.lu.se/search/files/119669576/GlobeCOM2020_final.pdf}},
  doi          = {{10.1109/GLOBECOM42002.2020.9348218}},
  year         = {{2020}},
}