Abstract
Recent innovations and advances in mobile networking technologies have resulted in the emergence of smart services in various different application domains, in support of high mobility and scalability. 5G mobile networks represent a promising cellular technology to efficiently support emerging systems with a large volume of data traffic. Over the last few years, smart devices have seen exponential growth over mobile networks, which resulted in the need to increase the capacity due to generating higher data rates. These mobile networks are expected to face challenges, such as the support of significant data explosion and various quality of service (QoS) requirements. The proposed chapter starts with a theoretical and conceptual background on the data traffic models over different mobile network environments with the overall implications of the data size. It also discusses selected empirical studies on smart healthcare applications. This chapter demonstrates a novel resource allocation scheme (RAS) and an algorithm along with a form of slicing technique based on specific QoS requirements (e.g. to support smart healthcare application). Simulation results are demonstrated to evaluate the performance of the proposed scheme.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014). What Will 5G Be? IEEE Journal on Selected Areas in Communications, 32(6), 1065–1082.
Chen, M., Wan, J., & Li, F. (2012). Machine-to-machine communications: Architectures, standards, and applications. KSII Transactions on Internet and Information Systems, 6(2), 480–497.
Chen, K. C., & Lien, S. Y. (2014). Machine-to-machine communications: Technologies and challenges. Ad Hoc Networks, 18, 3–23.
Einsiedler, H. J., Gavras, A., Sellstedt, P., Aguiar, R., Trivisonno, R., & Lavaux, D. (2015). System design for 5G converged networks. In 2015 European Conference on Networks and Communications, EuCNC 2015 (pp. 391–396). Piscataway: IEEE.
Panwar, N., Sharma, S., & Singh, A. K. (2016). A survey on 5G: The next generation of mobile communication. Physics Communication, 18, 64–84.
Dighriri, M., Lee, G. M., Baker, T., & Moores, L. J. (2015). Measuring and classification of smart systems data traffic over 5G mobile networks. In B. Akhgar, M. Dastbaz, & H. Arabnia (Eds.), Technology for smart futures. Cham: Springer.
Zaki, Y., Zhao, L., Goerg, C., & Timm-Giel, A. LTE wireless virtualization and spectrum management. In 2010 3rd Joint IFIP Wireless and Mobile Networking Conference, WMNC 2010 (p. 2010). Piscataway: IEEE.
Liang, C., Yu, F. R., & Zhang, X. (2015). Information-centric network function virtualization over 5g mobile wireless networks. IEEE Network, 29(3), 68–74.
Zhu, K., & Hossain, E. (2016). Virtualization of 5G cellular networks as a hierarchical combinatorial auction. IEEE Transactions on Mobile Computing, 15(10), 2640–2654.
Costa-Perez, X., Swetina, J., Mahindra, R., & Rangarajan, S. (2013). Radio access network virtualization for future mobile carrier networks. IEEE Communications Magazine, 51(7), 27–35.
Rahman, M. M., Despins, C., & Affes, S. HetNet Cloud: Leveraging SDN & cloud computing for wireless access virtualization. In 2015 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2015 (p. 2015). Piscataway: IEEE.
Dighriri, M., Alfoudi, A. S. D., Lee, G. M., & Baker, T. (2017). Data traffic model in machine to machine communications over 5G network slicing. In Proceedings – 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016 (pp. 239–244). Piscataway: IEEE.
Lee, Y. L., Chuah, T. C., Loo, J., & Vinel, A. (2014). Recent advances in radio resource management for heterogeneous LTE/LTE-A networks. IEEE Communication Surveys and Tutorials, 16(4), 2142–2180.
Abdalla, I., & Venkatesan, S. Remote subscription management of M2M terminals in 4G cellular wireless networks. In Proceedings – Conference on Local Computer Networks, LCN, 2012 (pp. 877–885). Piscataway: IEEE.
Niyato, D., Hossain, E., Kim, D. I. K. D. I., & Han, Z. H. Z. (2009). Relay-centric radio resource management and network planning in IEEE 802.16 j mobile multihop relay networks. IEEE Transactions Wireless Communications, 8(12), 6115–6125.
Sui, Y., Vihriala, J., Papadogiannis, A., Sternad, M., Yang, W., & Svensson, T. (2013). Moving cells: A promising solution to boost performance for vehicular users. IEEE Communications Magazine, 51(6), 62–68.
Annunziato, A. (2015). 5G vision: NGMN – 5G initiative. IEEE Vehicular Technology Conference, 2015, (pp. 1–5). Boston; IEEE.
Iwamura, M. (2015). NGMN view on 5G architecture. IEEE Vehicular Technology Conference, 2015, (pp. 1–5). Boston; IEEE.
Alfoudi, A. S. D., Lee, G. M., & Dighriri, M. (2017). Seamless LTE-WiFi architecture for offloading the overloaded LTE with efficient UE authentication. In Proceedings – 2016 9th International Conference on Developments in eSystems Engineering, DeSE 2016 (pp. 118–122). Piscataway: IEEE.
Kalil, M., Shami, A., & Ye, Y. (2014). Wireless resources virtualization in LTE systems. In Proceedings – IEEE INFOCOM (pp. 363–368). Piscataway: IEEE.
Muppala, S., Chen, G., & Zhou, X. (2014). Multi-tier service differentiation by coordinated learning-based resource provisioning and admission control. Journal of Parallel and Distributed Computing, 74(5), 2351–2364.
Hasan, M., Hossain, E., & Kim, D. I. (2014). Resource allocation under channel uncertainties for relay-aided device-to-device communication underlaying LTE-A cellular networks. IEEE Transactions on Wireless Communications, 13(4), 2322–2338.
Abu-Ali, N., Taha, A. E. M., Salah, M., & Hassanein, H. (2014). Uplink scheduling in LTE and LTE-advanced: Tutorial, survey and evaluation framework. IEEE Communication Surveys and Tutorials, 16(3), 1239–1265.
Zirong, G., & Huaxin, Z. (2009). Simulation and analysis of weighted fair queueing algorithms in OPNET. In Proceedings – 2009 International Conference on Computer Modeling and Simulation, ICCMS 2009 (pp. 114–118). Piscataway: IEEE.
Zhu, K. & Hossain, E., 2016. Virtualization of 5G cellular networks as a hierarchical combinatorial auction. IEEE Transactions on Mobile Computing, 15(10), 2640–2654. Available at: http://ieeexplore.ieee.org/document/7348713/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Dighriri, M., Lee, G.M., Baker, T. (2018). Big Data Environment for Smart Healthcare Applications Over 5G Mobile Network. In: Alani, M., Tawfik, H., Saeed, M., Anya, O. (eds) Applications of Big Data Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-76472-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-76472-6_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76471-9
Online ISBN: 978-3-319-76472-6
eBook Packages: Computer ScienceComputer Science (R0)