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An eHealth-Care Driven Perspective on 5G Networks and Infrastructure

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Internet of Things, Infrastructures and Mobile Applications (IMCL 2019)

Abstract

This work describes the advancements that next generation mobile networks can bring to emergency services on the basis of a fully 5G enabled medical emergency response scenario. An ambulance service combining autonomous driving, advanced on-board patient monitoring, remote diagnosis and remote control from the hospital is introduced, allowing increased levels of care during patient transport and improved early diagnosis, thus enhancing patient survival rates. Furthermore, it is shown that such an ambulance service requires a variety of different traffic types that can only be supported concurrently and with guaranteed quality of service by a high-performance network fulfilling all 5G key performance indicators. The scenario described combines a multitude of aspects and applications enabled by 5G mobile communications, including autonomous driving, ultra-high definition video streaming, tactile remote interaction and continuous sensing, into a compelling showcase for a 5G enabled future. A centralized radio access 5G network with space division multiplexed optical fronthaul using analog radio-over-fiber and optical beamforming is analyzed, fully supporting SDN and NFV for advanced network slicing and quality of service guarantee.

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Acknowledgments

This work was partially funded by the 5G STEP FWD, blueSPACE, CELTA, 5G-PHOS, and SILIKA projects with funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement numbers 722429, 762055, 675683, 761989, and 721732, respectively.

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Correspondence to Dimitrios Konstantinou .

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Konstantinou, D., Rommel, S., Morales, A., Raddo, T.R., Johannsen, U., Tafur Monroy, I. (2021). An eHealth-Care Driven Perspective on 5G Networks and Infrastructure. In: Auer, M.E., Tsiatsos, T. (eds) Internet of Things, Infrastructures and Mobile Applications. IMCL 2019. Advances in Intelligent Systems and Computing, vol 1192. Springer, Cham. https://doi.org/10.1007/978-3-030-49932-7_101

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  • DOI: https://doi.org/10.1007/978-3-030-49932-7_101

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