Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule
Space division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for spac...
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doaj-72b42493290a4f3a82200549f891aad72020-11-24T23:31:38ZengMDPI AGPhotonics2304-67322017-02-01411210.3390/photonics4010012photonics4010012Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update RuleFrancisco Javier Vaquero Caballero0Fabio Pittalà1Gernot Goeger2Mi Wang3Yabin Ye4Idelfonso Tafur Monroy5ERC, Huawei Technologies Duesseldorf GmbH, Riesstrasse 25, D-80992 Munich, GermanyERC, Huawei Technologies Duesseldorf GmbH, Riesstrasse 25, D-80992 Munich, GermanyERC, Huawei Technologies Duesseldorf GmbH, Riesstrasse 25, D-80992 Munich, GermanyERC, Huawei Technologies Duesseldorf GmbH, Riesstrasse 25, D-80992 Munich, GermanyERC, Huawei Technologies Duesseldorf GmbH, Riesstrasse 25, D-80992 Munich, GermanyTechnical University of Denmark (DTU), Ørsteds Plads, Build. 358, 2800 Kgs. Lyngby, DenmarkSpace division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for space division multiplexing (SDM). Although different papers have been published about the SSA and its MIMO implementation, we provide for the first time an analysis of the of the convergence speed and frequency offset of the SSA compared to the least mean square (LMS). SSA algorithm can deal with higher frequency offsets and linewidths than LMS, being suitable for optical communications with higher phase noise. SSA does not need pre-compensation of frequency offset, which can be compensated after equalization without penalties. On the other hand, due to reduced convergence speed, SSA requires longer training sequences than LMS.http://www.mdpi.com/2304-6732/4/1/12frequency domain equalizationspace division multiplexingcoherent technologies |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Francisco Javier Vaquero Caballero Fabio Pittalà Gernot Goeger Mi Wang Yabin Ye Idelfonso Tafur Monroy |
spellingShingle |
Francisco Javier Vaquero Caballero Fabio Pittalà Gernot Goeger Mi Wang Yabin Ye Idelfonso Tafur Monroy Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule Photonics frequency domain equalization space division multiplexing coherent technologies |
author_facet |
Francisco Javier Vaquero Caballero Fabio Pittalà Gernot Goeger Mi Wang Yabin Ye Idelfonso Tafur Monroy |
author_sort |
Francisco Javier Vaquero Caballero |
title |
Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule |
title_short |
Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule |
title_full |
Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule |
title_fullStr |
Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule |
title_full_unstemmed |
Novel Equalization Techniques for Space Division Multiplexing Based on Stokes Space Update Rule |
title_sort |
novel equalization techniques for space division multiplexing based on stokes space update rule |
publisher |
MDPI AG |
series |
Photonics |
issn |
2304-6732 |
publishDate |
2017-02-01 |
description |
Space division multiplexing (SDM) is a promising technology that aims to overcome the capacity crunch of optical communications. In this paper, we introduce the multiple-input multiple-output (MIMO) Stokes Space Algorithm (SSA) implemented in frequency domain, a novel equalization technique for space division multiplexing (SDM). Although different papers have been published about the SSA and its MIMO implementation, we provide for the first time an analysis of the of the convergence speed and frequency offset of the SSA compared to the least mean square (LMS). SSA algorithm can deal with higher frequency offsets and linewidths than LMS, being suitable for optical communications with higher phase noise. SSA does not need pre-compensation of frequency offset, which can be compensated after equalization without penalties. On the other hand, due to reduced convergence speed, SSA requires longer training sequences than LMS. |
topic |
frequency domain equalization space division multiplexing coherent technologies |
url |
http://www.mdpi.com/2304-6732/4/1/12 |
work_keys_str_mv |
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