Abstract
5G mobile communications requires system and network considerations from many aspects. Instead of high spectral efficient physical layer communication, We introduce efficient network structure supplying a new design paradigm to meet user experience, spectral efficiency, and energy efficiency, under wide range of services and applications on top of 5G mobile communication networks, with virtual networking over software defined networking facilitating.
Keywords
- Cloud Computing
- Software Define Networking
- Mobile Communication Network
- Network Function Virtualization
- Mobile Virtual Network Operator
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Lien, S.Y., Hung, S.C., Chen, K.C., Liang, Y.C.: Ultra-low latency ubiquitous connections in heterogeneous cloud radio access networks. To appear in the Special Issue on Heterogeneous Cloud Radio Access Networks, IEEE Wireless Communications
Chen, K.C., Lien, S.Y.: Machine-to-machine communications: technologies and challenges. Ad Hoc Netw. 18, 3–23 (2014)
Han, N.D., Chung, Y., Jo, M.: Green data centers for cloud-assisted mobile ad hoc networks in 5G. IEEE Netw. 29, 70–76 (2015)
Condoluci, M., Dohler, M., Araniti, G., Molinaro, A., Zheng, K.: Toward 5G densenets: architectural advances for effective machine-type communications over femtocells. IEEE Commun. Mag. 53, 135–141 (2015)
Wunder, C., Boche, H., Strohmer, T., Jung, P.: Sparse signal processing concepts for efficient 5G system design. IEEE Access 3, 195–208 (2015)
Lien, S.Y., Cheng, S.M., Shih, S.Y., Chen, K.C.: Radio resource management for QoS guarantees in cyber-physical systems. IEEE Trans. Parall. Distrib. Syst. 23(9), 1752–1761 (2012)
Yu, C.K., Cheng, S.M., Chen, K.C.: Cognitive radio network tomography. IEEE Trans. Veh. Technol. 59(4), 1980–1997 (2010)
Niesen, U., Shah, D., Wornell, G.W.: Caching in wireless networks. IEEE Trans. Inf. Theory 58(10), 6525–6540 (2012)
Lien, S.Y., Chen, K.C., Liang, Y.C., Lin, Y.H.: Cognitive radio resource management for future cellular networks. IEEE Wirel. Commun. 21(1), 70–79 (2014)
Zhao, T., Yang, P., Pan, H., Deng, R., Zhou, S., Niu, Z.: Software defined radio implementation of signaling splitting in hyper-cellular network. In: SIRF. ACM (2013)
Andrews, J.G., Buzzi, S., Choi, W., Hanly, S.V., Lozano, A., Soong, A.C.K., Zhang, J.C.: What will 5G be? IEEE J. Sel. Areas. Commun. 32(6), 1065–1082 (2014)
Acknowledgement
This study is conducted under the “Energy-Efficient Mobile Communication Systems Project" of the Institute for Information Industry which is subsidized by the Ministry of Economic Affairs of the Republic of China.
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© 2015 Springer International Publishing Switzerland
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Chen, KC. et al. (2015). Efficient Network Structure of 5G Mobile Communications. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_3
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DOI: https://doi.org/10.1007/978-3-319-21837-3_3
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