DCT-based air interface design for function computation

With the integration of communication and computing, it is expected that part of the computing is transferred to the transmitter side. In this paper we address the general problem of Frequency Modulation (FM) for function approximation through a communication channel. We exploit the benefits of the...

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Autores: Martínez Gost, Marc|||0000-0003-0070-6807, Pérez Neira, Ana Isabel|||0000-0003-4281-3934, Lagunas Hernandez, Miguel A.|||0000-0003-3338-244X
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/386034
Acceso en línea:https://hdl.handle.net/2117/386034
https://dx.doi.org/10.1109/OJSP.2023.3241584
Access Level:acceso abierto
Palabra clave:Wireless sensor networks
Task-oriented communication
Joint communication and computing
Over-the-air computing (AirComp)
WSN
Xarxes de sensors sense fils
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
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spelling DCT-based air interface design for function computationMartínez Gost, Marc|||0000-0003-0070-6807Pérez Neira, Ana Isabel|||0000-0003-4281-3934Lagunas Hernandez, Miguel A.|||0000-0003-3338-244XWireless sensor networksTask-oriented communicationJoint communication and computingOver-the-air computing (AirComp)WSNXarxes de sensors sense filsÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyalWith the integration of communication and computing, it is expected that part of the computing is transferred to the transmitter side. In this paper we address the general problem of Frequency Modulation (FM) for function approximation through a communication channel. We exploit the benefits of the Discrete Cosine Transform (DCT) to approximate the function and design the waveform. In front of other approximation schemes, the DCT uses basis of controlled dynamic, which is a desirable property for a practical implementation. Furthermore, the proposed modulation allows to recover both the measurement and the function in a single transmission. Our experiments show that this scheme outperforms the double side-band (DSB) modulation in terms of mean squared error (MSE). This can also be implemented with an agnostic receiver, in which the function is unknown to the receiver. Finally, the proposed modulation is compatible with some of the existing transmission technologies for sensor networks.This work was supported by the MCIN/AEI/10.13039/501100011033 through IRENE Project under Grant PID2020-115323RB-C31.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20232023-02-0220232023-04-06journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/386034https://dx.doi.org/10.1109/OJSP.2023.3241584reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3860342026-05-27T15:37:01Z
dc.title.none.fl_str_mv DCT-based air interface design for function computation
title DCT-based air interface design for function computation
spellingShingle DCT-based air interface design for function computation
Martínez Gost, Marc|||0000-0003-0070-6807
Wireless sensor networks
Task-oriented communication
Joint communication and computing
Over-the-air computing (AirComp)
WSN
Xarxes de sensors sense fils
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
title_short DCT-based air interface design for function computation
title_full DCT-based air interface design for function computation
title_fullStr DCT-based air interface design for function computation
title_full_unstemmed DCT-based air interface design for function computation
title_sort DCT-based air interface design for function computation
dc.creator.none.fl_str_mv Martínez Gost, Marc|||0000-0003-0070-6807
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Lagunas Hernandez, Miguel A.|||0000-0003-3338-244X
author Martínez Gost, Marc|||0000-0003-0070-6807
author_facet Martínez Gost, Marc|||0000-0003-0070-6807
Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Lagunas Hernandez, Miguel A.|||0000-0003-3338-244X
author_role author
author2 Pérez Neira, Ana Isabel|||0000-0003-4281-3934
Lagunas Hernandez, Miguel A.|||0000-0003-3338-244X
author2_role author
author
dc.subject.none.fl_str_mv Wireless sensor networks
Task-oriented communication
Joint communication and computing
Over-the-air computing (AirComp)
WSN
Xarxes de sensors sense fils
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
topic Wireless sensor networks
Task-oriented communication
Joint communication and computing
Over-the-air computing (AirComp)
WSN
Xarxes de sensors sense fils
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
description With the integration of communication and computing, it is expected that part of the computing is transferred to the transmitter side. In this paper we address the general problem of Frequency Modulation (FM) for function approximation through a communication channel. We exploit the benefits of the Discrete Cosine Transform (DCT) to approximate the function and design the waveform. In front of other approximation schemes, the DCT uses basis of controlled dynamic, which is a desirable property for a practical implementation. Furthermore, the proposed modulation allows to recover both the measurement and the function in a single transmission. Our experiments show that this scheme outperforms the double side-band (DSB) modulation in terms of mean squared error (MSE). This can also be implemented with an agnostic receiver, in which the function is unknown to the receiver. Finally, the proposed modulation is compatible with some of the existing transmission technologies for sensor networks.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-02
2023
2023-04-06
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/386034
https://dx.doi.org/10.1109/OJSP.2023.3241584
url https://hdl.handle.net/2117/386034
https://dx.doi.org/10.1109/OJSP.2023.3241584
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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