| Téléchargement | - Voir la version de l’auteur : A 5G NR based system architecture for real-time control with batteryless RFID sensors (PDF, 438 Kio)
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| DOI | Trouver le DOI : https://doi.org/10.1109/SysCon47679.2020.9275879 |
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| Auteur | Rechercher : Hu, Peng1 |
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| Affiliation | - Conseil national de recherches Canada. Technologies numériques
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| Format | Texte, Article |
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| Conférence | 2020 IEEE International Systems Conference (SysCon), Aug. 24-27, 2020, [Virtual Conference] Montreal, Quebec |
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| Sujet | radio-frequency indentification; tactile sensors; systems architecture; 5G mobile communication; tactile internet; long term evolution |
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| Résumé | The fifth-generation wireless networking (5G) technologies have been developed to meet various time-critical use cases with ultra-reliable, low-latency and massive machine-type communications which are indispensable for tactile Internet applications. Recent advancements in very low-cost and batteryless radio-frequency identification (RFID) sensors have given promises of deploying a massive amount of such sensors for real-time sensing and control applications on a 5G New Radio (NR) network. However, the system design and performance of such applications have not been well studied. This paper proposes a novel system architecture for the representative batteryless RFID touch sensors in generic real-time control applications in a 5G NR mmWave environment. We will discuss the solution using edge computing nodes on the 5G NR base station to the implementation of the proposed system architecture. The real-time performance evaluation with the comparison of the Long-Term Evolution (LTE) networks has shown the effectiveness of the proposed system architecture. |
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| Date de publication | 2020-08-24 |
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| Maison d’édition | IEEE |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 9d947017-5e60-4b6e-8135-baa5d5170441 |
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| Enregistrement créé | 2021-06-16 |
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| Enregistrement modifié | 2021-06-17 |
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