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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abanto-Leon, L.F., Koppelaar, A., de Groot, S.H.: Graph-based resource allocation with conflict avoidance for V2V broadcast communications. In: IEEE PIMRC 2017, pp. 1–7, October 2017
Abdelwahab, S., Hamdaoui, B., Guizani, M., Znati, T.: Network function virtualization in 5G. IEEE Commun. Mag. 54, 84–91 (2016)
Alavi, S.E., Soltanian, M.R.K., Amiri, I.S., Khalily, M., Supa’at, A.S.M., Ahmad, H.: Towards 5G: a photonic based millimeter wave signal generation for applying in 5G access fronthaul. Sci. Rep. 6, 19891 (2016)
Avgousti, S., Christoforou, E.G., Panayides, A.S., Voskarides, S., Novales, C., Nouaille, L., Pattichis, C.S., Vieyres, P.: Medical telerobotic systems: current status and future trends. BioMed. Eng. OnLine 15(1), 96 (2016)
Avgousti, S., Panayides, A., Jossif, A., Christoforou, E., Vieyres, P., Novales, C., Voskarides, S., Pattichis, C.: Cardiac ultrasonography over 4G wireless networks using a tele-operated robot. Healthc. Technol. Lett. 3(3), 212–217 (2016)
Cheng, L., Viriyasitavat, W., Boban, M., Tsai, H.: Comparison of radio frequency and visible light propagation channels for vehicular communications. IEEE Access 6, 2634–2644 (2018)
Chorchos, L., Rommel, S., Turkiewicz, J.P., Tafur Monroy, I., Vegas Olmos, J.J.: Reconfigurable radio access unit for DWDM to W-band wireless conversion. IEEE Photonics Technol. Lett. 29(6), 489–492 (2017)
D’Andrea, R.: Guest editorial: can drones deliver? IEEE Trans. Autom. Sci. Eng. 11(3), 647–648 (2014)
Dawy, Z., Saad, W., Ghosh, A., Andrews, J.G., Yaacoub, E.: Toward massive machine type cellular communications. IEEE Wirel. Commun. 24(1), 120–128 (2017)
Hagihara, A., Hasegawa, M., Abe, T., Nagata, T., Nabeshima, Y.: Physician presence in an ambulance car is associated with increased survival in out-of-hospital cardiac arrest: a prospective Cohort analysis. PLoS ONE 9(1), e84424 (2014)
International Telecommunication Union (ITU), Geneva: FG IMT-2020: Report on Standards Gap Analysis (2016)
ITU, Geneva: Report ITU-R M.2410-0, ITU-R M.-Minimum Requirements Related to Technical Performance for IMT2020 Radio Interface(s) (2017)
Li, Y., Chen, Y.: Driver vision based perception-response time prediction and assistance model on mountain highway curve. Int. J. Environ. Res. Public Health 14(1), 31 (2016)
Muciaccia, T., Passaro, V.: Future scenarios for software-defined metro and access networks and software-defined photonics. Photonics 4, 1 (2017)
Nakajima, K., Matsui, T., Saito, K., Sakamoto, T., Araki, N.: Multi-core fiber technology: next generation optical communication strategy. IEEE Commun. Stand. Mag. 1(3), 38–45 (2017)
Peyravi, M., Khodakarim, S., Örtenwall, P., Khorram-Manesh, A.: Does temporary location of ambulances (“fluid deployment”) affect response times and patient outcome? Int. J. Emerg. Med. 8(1), 37 (2015)
Puleri, M., Sabella, R., Osseiran, A.: Cloud robotics: 5G paves the way for mass-market automation. Ericsson Tech. Rev. 93, 2–13 (2016)
Rommel, S., Perez-Galacho, D., Fabrega, J.M., Munoz, R., Sales, S., Tafur Monroy, I.: High-capacity 5G fronthaul networks based on optical space division multiplexing. IEEE Trans. Broadcast. 65(2), 434–443 (2019)
Saunders, G., Gough, A.: Emergency ambulances on the public highway linked with inconvenience and potential danger to road users. Emer. Med. J. 20(3), 277–280 (2003)
Scott, J.E., Scott, C.H.: Drone delivery models for healthcare. In: HICSS (2017)
Shah, M.N.: The formation of the emergency medical services system. Am. J. Public Health 96(3), 414–423 (2006)
Tafur Monroy, I., Raddo, T.R., Rommel, S., Okonkwo, C., Calabretta, N., Johannsen, U., Dubbelman, G., Scholtes, J., Rutten, B.: Testing facilities for end-to-end test of vertical applications enabled by 5G networks: Eindhoven 5G brainport testbed. In: ICTON 2018, pp. 1–5, July 2018
Vardakas, J.S., Tafur Monroy, I., Wosinska, L., Agapiou, G., Brenot, R., Pleros, N., Verikoukis, C.: Towards high capacity and low latency backhauling in 5G: the 5G STEP-FWD vision. In: ICTON 2017, pp. 1–4, July 2017
Vook, F.W., Ghosh, A., Thomas, T.A.: MIMO and beamforming solutions for 5G technology. In: IMS 2014, pp. 1–4, June 2014
Zaidi, A.A., Baldemair, R., Tullberg, H., Bjorkegren, H., Sundstrom, L., Medbo, J., Kilinc, C., Da Silva, I.: Waveform and numerology to support 5G services and requirements. IEEE Commun. Mag. 54(11), 90–98 (2016)
Zhang, H., Liu, N., Chu, X., Long, K., Aghvami, A., Leung, V.C.M.: Network slicing based 5G and future mobile networks: mobility, resource management, and challenges. IEEE Commun. Mag. 55(8), 138–145 (2017)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-49932-7_101
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49931-0
Online ISBN: 978-3-030-49932-7
eBook Packages: EngineeringEngineering (R0)