Edge Caching with Mobility Prediction in Virtualized LTE Mobile Networks



Mobile Edge Computing enables the deployment of services, applications, content storage and processing in close proximity to mobile end users. This highly distributed computing environment can be used to provide ultra-low latency, precise positional awareness and agile applications, which could significantly improve user experience. In order to achieve this, it is necessary to consider next-generation paradigms such as Information-Centric Networking and Cloud Computing, integrated with the upcoming 5th Generation networking access. A cohesive end-to-end architecture is proposed, fully exploiting Information-Centric Networking together with the Mobile Follow-Me Cloud approach, for enhancing the migration of content-caches located at the edge of cloudified mobile networks. The chosen content-relocation algorithm attains content-availability improvements of up to 500\% when a mobile user performs a request and compared against other existing solutions. The performed evaluation considers a realistic core-network, with functional and non-functional measurements, including the deployment of the entire system, computation and allocation/migration of resources. The achieved results reveal that the proposed architecture is beneficial not only from the users' perspective but also from the providers point-of-view, which may be able to optimize their resources and reach significant bandwidth savings.


Information-Centric Networking, Content Migration, Edge Caching, Mobility Prediction, LTE, Mobile Cloud, Follow-Me Cloud


Future Generation Computer Systems, Elsevier 2016


Cited by

Year 2019 : 1 citations

 Yan, M., Chan, C., Gygax, A., Yan, J., Campbell, L., Nirmalathas, A. and Leckie, C., 2019. Modeling the Total Energy Consumption of Mobile Network Services and Applications. Energies, 12(1), p.184.

Year 2018 : 8 citations

 X. Zhao, P. Yuan, H. Li and S. Tang, "Collaborative edge caching in context-aware D2D networks," in IEEE Transactions on Vehicular Technology. doi: 10.1109/TVT.2018.2858254

 Tang, Yayuan, Kehua Guo, Jianhua Ma, Yutong Shen, and Tao Chi. "A smart caching mechanism for mobile multimedia in information centric networking with edge computing." Future Generation Computer Systems (2018).

 Toczé, K. and Nadjm-Tehrani, S., 2018. A Taxonomy for Management and Optimization of Multiple Resources in Edge Computing. arXiv preprint arXiv:1801.05610.

 C. Wang, Y. He, F. R. Yu, Q. Chen and L. Tang, "Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges," in IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 7-38, Firstquarter 2018. doi: 10.1109/COMST.2017.2758763

 Chang, C., Srirama, S. N., & Buyya, R. Internet of Things (IoT) and New Computing Paradigms. Wiley STM / Editor Buyya, Srirama: Fog and Edge Computing: Principles and Paradigms, Chapter 1, 2018.

 D. Ren, X. Gui, W. Lu, J. An, H. Dai and X. Liang, "GHCC: Grouping-based and hierarchical collaborative caching for mobile edge computing," 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), Shanghai, China, 2018, pp. 1-6. doi: 10.23919/WIOPT.2018.8362881

 Qian, Peng. "Accelerating mobile web downloading through context-aware and cross-layer intelligence." PhD diss., University of Surrey, 2018.

 Pedro Batista, Ivanes Araújo, Neiva Linder, Kim Laraqui, Aldebaro Klautau,
Testbed for ICN Media Distribution over LTE Radio Access Networks,
Computer Networks, 2018, ISSN 1389-1286,

Year 2017 : 5 citations

 Alireza Farshin , Saeed Sharifian , A Chaotic Grey Wolf Controller Allocator for Software Defined Mobile Network (SDMN) for 5th Generation of Cloud-based Cellular Systems (5G), Computer Communications (2017), doi: 10.1016/j.comcom.2017.05.003

 S. Wang, X. Zhang, Y. Zhang, L. Wang, J. Yang and W. Wang, "A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications," in IEEE Access, vol. 5, pp. 6757-6779, 2017. doi: 10.1109/ACCESS.2017.2685434

 Y. Mao, C. You, J. Zhang, K. Huang and K. B. Letaief, "A Survey on Mobile Edge Computing: The Communication Perspective," in IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2322-2358, Fourthquarter 2017. doi: 10.1109/COMST.2017.2745201

 Vasilakos, Xenofon. "Mobility-based Proactive Caching Models for Addressing Niche Mobile Demand and Scalable ICN Name Resolution Designs." PhD dissertation, Athens University of Economics and Business, March 2017

 O. Semiari, W. Saad, and M. Bennis, “Caching Meets Millimeter Wave Communications for Enhanced Mobility Management in 5G Networks“, arXiv preprint arXiv:1701.05125, 2017, Available at

Year 2016 : 1 citations

 Ejaz Ahmed, Mubashir Husain Rehmani, Mobile Edge Computing: Opportunities, solutions, and challenges, Future Generation Computer Systems, Available online 30 September 2016, ISSN 0167-739X,