Gimenez-Guzman, JM.; Leyva-Mayorga, I.; Popovski, P. (2024). Goal-Oriented Source Coding and Filtering for Vehicular Communications. IEEE Internet of Things. 11(11):19804-19822. https://doi.org/10.1109/JIOT.2024.3367438
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/209100
Title:
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Goal-Oriented Source Coding and Filtering for Vehicular Communications
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Author:
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Gimenez-Guzman, Jose Manuel
Leyva-Mayorga, Israel
Popovski, Petar
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UPV Unit:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
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Issued date:
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Abstract:
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[EN] Vehicle-to-everything (V2X) networks will constitute a prominent application in future generations of cellular networks, definitely transforming our conception of transportation systems. A major challenge in V2X ...[+]
[EN] Vehicle-to-everything (V2X) networks will constitute a prominent application in future generations of cellular networks, definitely transforming our conception of transportation systems. A major challenge in V2X networks is the vast amount of data generated by the large number of sensors in the vehicles, which saturates the wireless links. As it is not possible to meet the throughput, timing, and reliability requirements for the total bulk of generated data, one needs to filter out data based on the actual communication goal. In this article, we present an architecture and diverse options to implement filtering and source coding for goal-oriented (GO) vehicular communications. We illustrate how filtering and source coding contribute to meeting the strict delay requirements while maintaining energy-efficient operation. Our results show that GO communications, performed as the combination of Bloom filtering and GO source coding, can greatly contribute not only to reduce the energy consumption by up to 30% but also to decrease delay, which in turn increases the supported amount of delay-sensitive traffic by up to 819.2%.
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Subjects:
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Vehicle-to-everything
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Semantics
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Source coding
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Sensors
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Internet of Things
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Delays
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6G mobile communication
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Bloom filter (BF)
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Discontinuous reception (DRX)
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Goal-oriented (GO) communications
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Intelligent transportation systems (ITSs)
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Vehicle-to-everything (V2X)
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Copyrigths:
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Reconocimiento (by)
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Source:
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IEEE Internet of Things. (eissn:
2327-4662
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DOI:
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10.1109/JIOT.2024.3367438
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Publisher:
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Institute of Electrical and Electronics Engineers
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Publisher version:
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https://doi.org/10.1109/JIOT.2024.3367438
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Project ID:
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info:eu-repo/grantAgreement/EC/HE/101139232/EU/6G Goal-Oriented AI-enabled Learning and Semantic Communication Networks/
info:eu-repo/grantAgreement/AEI//PID2021-123168NB-I00//EVOLUCIÓN DE LA RED DE ACCESO RADIO HACIA 6G PARA SERVICIOS MASIVOS Y DE BAJA LATENCIA/
info:eu-repo/grantAgreement/AEI//TED2021-131387B-I00/
info:eu-repo/grantAgreement/MICINN//PID2019-104855RB-I00//Plataforma de resiliencia basada en cloud para infraestructuras TI sanitarias/
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Thanks:
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This work was supported in part by the MCIN/AEI/10.13039/501100011033 and the European Union "NextGenerationEU"/PRTR under Project TED2021-131387B-I00; in part by the MCIN/AEI/10.13039/501100011033/FEDER, UE under Project ...[+]
This work was supported in part by the MCIN/AEI/10.13039/501100011033 and the European Union "NextGenerationEU"/PRTR under Project TED2021-131387B-I00; in part by the MCIN/AEI/10.13039/501100011033/FEDER, UE under Project PID2021123168NB-I00; in part by the Spanish Ministry of Science and Innovation under Project PID2019-104855RB-I00/AEI/10.13039/501100011033; in part by the SNS JU Project 6G-GOALS through the EU's Horizon Program under Grant 101139232; and in part by the Villum Investigator Grant "WATER" from the Velux Foundation, Denmark. Funding for open access charge: CRUE-Universitat Politecnica de Valencia.
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Type:
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Artículo
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