Design aspects of frequency-domain learned MIMO Volterra equalisers

Nelson Castro; Sonia Boscolo; Andrew D. Ellis; Stylianos Sygletos

doi:10.1364/CLEO_AT.2024.JTu2A.87

Design aspects of frequency-domain learned MIMO Volterra equalisers

Nelson Castro^*, Sonia Boscolo, Andrew D. Ellis, Stylianos Sygletos

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

Abstract

We numerically demonstrate a frequency-domain learned multiple-input multiple-output Volterra nonlinear equaliser and reveal the impact of practical implementation parameters on the per-channel performance.

Original language	English
Title of host publication	Technical Digest of the Conference on Lasers and Electro-Optics (CLEO 2024) - Science and Innovations (SI)
Number of pages	2
ISBN (Electronic)	9781957171395
DOIs	https://doi.org/10.1364/CLEO_AT.2024.JTu2A.87
Publication status	Published - 5 May 2024
Event	Conference on Lasers and Electro-Optics 2024 - Charlotte Convention Center, Charlotte, United States Duration: 5 May 2024 → 10 May 2024 https://www.cleoconference.org/home/

Publication series

Name	Technical Digest Series
Publisher	Optica Publishing Group

Conference

Conference	Conference on Lasers and Electro-Optics 2024
Abbreviated title	CLEO 2024
Country/Territory	United States
City	Charlotte
Period	5/05/24 → 10/05/24
Internet address	https://www.cleoconference.org/home/

Bibliographical note

This accepted manuscript is made available under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)

Access to Document

10.1364/CLEO_AT.2024.JTu2A.87

OPTICAmeetings
This accepted manuscript is made available under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
Accepted author manuscript, 7.06 MBLicence: CC BY 4.0

Cite this

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title = "Design aspects of frequency-domain learned MIMO Volterra equalisers",

abstract = "We numerically demonstrate a frequency-domain learned multiple-input multiple-output Volterra nonlinear equaliser and reveal the impact of practical implementation parameters on the per-channel performance.",

author = "Nelson Castro and Sonia Boscolo and Ellis, {Andrew D.} and Stylianos Sygletos",

note = "This accepted manuscript is made available under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/); Conference on Lasers and Electro-Optics 2024, CLEO 2024 ; Conference date: 05-05-2024 Through 10-05-2024",

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month = may,

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doi = "10.1364/CLEO_AT.2024.JTu2A.87",

language = "English",

series = "Technical Digest Series",

publisher = "Optica Publishing Group",

booktitle = "Technical Digest of the Conference on Lasers and Electro-Optics (CLEO 2024) - Science and Innovations (SI)",

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}

Castro, N, Boscolo, S , Ellis, AD & Sygletos, S 2024, Design aspects of frequency-domain learned MIMO Volterra equalisers. in Technical Digest of the Conference on Lasers and Electro-Optics (CLEO 2024) - Science and Innovations (SI)., JTu2A.87, Technical Digest Series, Conference on Lasers and Electro-Optics 2024, Charlotte, North Carolina, United States, 5/05/24. https://doi.org/10.1364/CLEO_AT.2024.JTu2A.87

Design aspects of frequency-domain learned MIMO Volterra equalisers. / Castro, Nelson; Boscolo, Sonia ; Ellis, Andrew D. et al.
Technical Digest of the Conference on Lasers and Electro-Optics (CLEO 2024) - Science and Innovations (SI). 2024. JTu2A.87 (Technical Digest Series).

Research output: Chapter in Book/Published conference output › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Design aspects of frequency-domain learned MIMO Volterra equalisers

AU - Castro, Nelson

AU - Boscolo, Sonia

AU - Ellis, Andrew D.

AU - Sygletos, Stylianos

N1 - This accepted manuscript is made available under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)

PY - 2024/5/5

Y1 - 2024/5/5

N2 - We numerically demonstrate a frequency-domain learned multiple-input multiple-output Volterra nonlinear equaliser and reveal the impact of practical implementation parameters on the per-channel performance.

AB - We numerically demonstrate a frequency-domain learned multiple-input multiple-output Volterra nonlinear equaliser and reveal the impact of practical implementation parameters on the per-channel performance.

UR - https://opg.optica.org/abstract.cfm?URI=CLEO_AT-2024-JTu2A.87

U2 - 10.1364/CLEO_AT.2024.JTu2A.87

DO - 10.1364/CLEO_AT.2024.JTu2A.87

M3 - Chapter (peer-reviewed)

T3 - Technical Digest Series

BT - Technical Digest of the Conference on Lasers and Electro-Optics (CLEO 2024) - Science and Innovations (SI)

T2 - Conference on Lasers and Electro-Optics 2024

Y2 - 5 May 2024 through 10 May 2024

ER -

Design aspects of frequency-domain learned MIMO Volterra equalisers

Abstract

Publication series

Conference

Bibliographical note

Access to Document

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