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Edge-Based Evolved Packet Core (EPC) Refactoring for High Speed Mobility

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Abstract

The current design of long-term evolution (LTE) deploys Evolved Packet Core (EPC) components in a core network, while data traffic from User Equipment (UEs) is converged to these components. As the number of internet devices increases, this design causes network congestion and inefficiencies. One distributed way to solve the network burden is to deploy the on-demand EPC components close to the edge of network (near the base station; known as Edge-based EPC). At present, some researches directly use current EPC components for edge deployment, which is problematic. When a UE moves between two edge networks, it will face the inter-edge procedures to change serving edge components. The procedure involves many message exchanges between components of the connection re-establishment, which will affect the UE's experience. Thus, the current EPC architecture is not suitable for edge deployment. In on our previous study, we had derived a Refactored EPC (R-EPC) architecture (Chiang and Chen in A quantitative approach for refactoring NFV-based Mobile Core Networks. In: 2019 IEEE 30th international conference on application-specific systems, architectures and processors (ASAP), New York, pp 135, 2019. https://doi.org/10.1109/ASAP.2019.00-17). Then, we determine the deployment of R-EPC components based on their responsibilities and coined the term “architecture edge-based refactored EPC” (E-R-EPC). In E-R-EPC, we deploy service triggering-related components and the gateway responsible for trafficking data to the edge network, while deploying components that record the location of UE to the core network. Thus, the UE can utilize the low-latency data traffic services in the edge network. As the served recording location components are the same, the signaling cost for updating the location information is reduced. In addition, we propose a new handover procedure named inter-edge handover. Furthermore, we compare the signaling cost and queuing delay of E-R-EPC with other architectures. The results of the proposed architecture demonstrate good performance, especially in managing frequent movements of UE between two edge networks (e.g.: high-speed mobility). The results of the present study indicate that E-R-EPC is a suitable reference for edge-designed networks.

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References

  1. Chiang W-K, Chen H-X. A quantitative approach for refactoring NFV-based Mobile Core Networks. In: 2019 IEEE 30th international conference on application-specific systems, architectures and processors (ASAP), New York; 2019. pp. 135. https://doi.org/10.1109/ASAP.2019.00-17.

  2. ETSI, White Paper, Network functions virtualization—introductory white paper. 2013. https://portal.etsi.org/NFV/NFV_White_Paper.pdf. Accessed 28 Feb 2021.

  3. Hawilo H, Shami A, Mirahmadi M, Asal R. NFV: state of the art, challenges, and implementation in next generation mobile networks (vEPC). IEEE Netw. 2014;2014:18–26.

    Article  Google Scholar 

  4. Li Y, Chen M. Software-defined network function virtualization: a survey. IEEE Access. 2015;3:2542–53.

    Article  Google Scholar 

  5. ETSI, White Paper, Mobile Edge Computing, A key technology towards 5G. 2015. http://www.etsi.org/images/files/ETSIWhitePapers/etsi_wp11_mec_a_key_technology_towards_5g.pdf. Accessed 28 Feb 2021.

  6. Taleb T. Toward carrier cloud: potential, challenges, and solutions. IEEE Wirel Commun Mag. 2014;21(3):80–91.

    Article  Google Scholar 

  7. Taleb T, Corici M, Parada C, Jamakovic A, Ruffino S, Karagiannis G, Magedanz T. EASE: EPC as a service to ease mobile core network deployment over cloud. IEEE Netw. 2015;2015:78–88.

    Article  Google Scholar 

  8. Yousaf FZ, Loureiro P, Zdarsky F, Taleb T, Liebsch M. Cost analysis of initial deployment strategies for virtualized mobile core network functions. IEEE Commun Mag. 2015;53(12):60–6.

    Article  Google Scholar 

  9. Prados-Garzon J, Ramos-Munoz JJ, Ameigeiras P, Andres-Maldonado P, Lopez-Soler JM. Modeling and dimensioning of a virtualized MME for 5G mobile networks. IEEE Trans Veh Technol. 2017;66(5):4383–95.

    Article  Google Scholar 

  10. Sama MR, An X, Wei Q, Beker S. Reshaping the mobile core network via function decomposition and network slicing for the 5G Era. IEEE Wirel Commun Netw Conf. 2016;2016:1–7.

    Google Scholar 

  11. Sama MR, Contreras LM, Kaippallimalil J, Akiyoshi I, Qian H, Ni H. Software-defined control of the virtualized mobile packet core. IEEE Commun Mag. 2015;53(2):107–15.

    Article  Google Scholar 

  12. Nguyen V-G, Kim Y. Proposal and evaluation of SDN-based mobile packet core networks. EURASIP J Wirel Commun Netw. 2015;2015:1–18.

    Google Scholar 

  13. Tran TX, Hajisami A, Pandey P, Pompili D. Collaborative mobile edge computing in 5G networks: new paradigms, scenarios, and challenges. IEEE Commun Mag. 2017;55(4):54–61.

    Article  Google Scholar 

  14. Coronado E, Yousaf Z, Riggio R. LightEdge: mapping the evolution of multi-access edge computing in cellular networks. IEEE Commun Mag. 2020;58(4):24–30. https://doi.org/10.1109/MCOM.001.1900690.

    Article  Google Scholar 

  15. Moradi M, Sundaresan K, Chai E, Rangarajan S, Mao ZM. SkyCore: moving core to the edge for untethered and reliable UAV-based LTE networks. Commun ACM. 2021;64(1):24–30. https://doi.org/10.1145/3434161.

    Article  Google Scholar 

  16. Jain A, Sadagopan NS, Lohani SK, Vutukuru M (2016) A comparison of SDN and NFV for re-designing the LTE Packet Core. In: IEEE conference on network function virtualization and software defined networks (NFV-SDN); 2016. pp. 74–80.

  17. Pozza M, Rao A, Bujari A, Flinck H, Palazzi CE, Tarkoma S. A Refactoring Approach for Optimizing Mobile Networks. IEEE Int Conf Commun. 2017;2017:1–6.

    Google Scholar 

  18. Cau E, Corici M, Bellavista P, Foschini L, Carella G, Edmonds A, Bohnert TM. Efficient exploitation of mobile edge computing for virtualized 5G in EPC architectures. In: 4th IEEE international conference on mobile cloud computing, services, and engineering (MobileCloud); 2016. pp. 100–9.

  19. Patel A, Vutukuru M, Krishnaswamy D. Mobility-aware VNF placement in the LTE EPC. In: IEEE conference on network function virtualization and software defined networks (NFV-SDN), pp 1–7; 2017.

  20. 3GPP TS 23.401 version 15.2.0. Technical specification group services and system aspects; general packet radio service (GPRS) enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) access (Release 15). 2017.

  21. 3GPP TS 29.060 version 15.2.0. Technical Specification Group Core Network And Terminals; General Packet Radio Service (GPRS); GPRS Tunnelling Protocol (GTP) across the Gn and Gp interface (Release 15). 2018.

  22. An X, Kiess W, Perez-Caparros D. Virtualization of cellular network EPC gateways based on a scalable SDN architecture. IEEE Glob Commun Conf. 2014;2014:2295–301.

    Google Scholar 

  23. Netmanias Technical Documents. EMM Procedure 5. Periodic TAU. 2014. https://www.netmanias.com/en/?m=view&id=techdocs&no=6193. Accessed 1 Jul 2019.

  24. Netmanias Technical Documents. EMM Procedure 6. Handover without TAU—Part 2. X2 Handover. 2014. https://www.netmanias.com/en/?m=view&id=techdocs&no=6257. Accessed 9 Jul 2019.

  25. Netmanias Technical Documents. EMM Procedure 6. Handover without TAU—Part 3. S1 Handover. 2014. https://www.netmanias.com/en/?m=view&id=techdocs&no=6286. Accessed 19 Jul 2019.

  26. 3GPP TS 23.214. Architecture enhancements for control and user plane separation of EPC nodes, Stage 2. Version 0.0.0 (Release 14). 2016.

  27. 3GPP TS 29.244. Interface between the control plane and the user plane nodes, Stage 3. Version 0.1.0 (Release 14). 2016.

  28. Chiang W-K, Kuo P-C. IMS-based centralized service continuity. Wireless Pers Commun. 2013;68:1177–95. https://doi.org/10.1007/s11277-012-0503-z.

    Article  Google Scholar 

  29. 3GPP TS 23.502. Procedures for the 5G System (5GS) (Release 15), Valbonne, France, V15.0.0, Dec. 2017. https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=3145. Accessed 1 Jun 2019.

  30. Taleb T, Ksentini A. Follow me cloud: interworking federated clouds and distributed mobile networks. IEEE Netw. 2013;27(5):12–9.

    Article  Google Scholar 

  31. Metsälä EM, Salmelin JTT. LTE Backhaul: planning and optimization. In: 2016 John Wiley & Sons, Chapter 5, Planning and Optimizing Mobile Backhaul for LTE. 2015. https://doi.org/10.1002/9781118924655.

  32. Wang H, Chen S, Ai M, Hui Xu. Localized mobility management for 5G ultra dense network. IEEE Trans Veh Technol. 2017;66(9):8535–52.

    Article  Google Scholar 

  33. Lee J-H, Ernst T, Chung T-M. Cost analysis of IP mobility management protocols for consumer mobile devices. IEEE Trans Consum Electron. 2010;56(2):1010–7.

    Article  Google Scholar 

  34. 3GPP TS 29.274 version 15.4.0, Technical specification group core network and terminals; 3GPP Evolved Packet System (EPS); Evolved General Packet Radio Service (GPRS) Tunnelling Protocol for Control plane (GTPv2-C); Stage 3 (Release 15). 2018.

  35. 3GPP TS 29.281 version 15.2.0, Technical specification group core network and terminals; general packet radio system (GPRS) Tunnelling Protocol User Plane (GTPv1-U) (Release 15). 2018.

  36. Kleinrock L. Queueing systems, vol. I, Theory. New York: Wiley; 1975.

    MATH  Google Scholar 

  37. Bolch G, Greiner S, Meer H, Trivedi K. Queueing networks and markov chains: modeling and performance evaluation with computer science applications, Second Edition. 2006. https://doi.org/10.1002/0471791571.

  38. Hasegawa G, Murata M. Joint bearer aggregation and control-data plane separation in LTE EPC for increasing M2M communication capacity. In: IEEE global communications conference (GLOBECOM); 2015. pp. 1–6.

  39. Rajan AS, Gobriel S, Maciocco C, Ramia KB, Kapury S, Singhy A, Ermanz J, Gopalakrishnanz V, Janaz R. Understanding the Bottlenecks in Virtualizing cellular core network functions. In: The 21st IEEE international workshop on local and metropolitan area networks; 2015. pp. 1–6.

  40. García-Pérez CA, Merino P. Experimental evaluation of fog computing techniques to reduce latency in LTE networks. Trans Emerg Telecommun Technol Special Issue: Fog Mobile Edge Comput (FMEC). 2018;29:4.

    Google Scholar 

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Acknowledgements

We would like to thank the editors and the anonymous reviewers for their valuable comments and suggestions. Their efforts have significantly improved the quality of this article.

Funding

This work was sponsored in part by the Ministry of Science and Technology, Taiwan (Grant no. MOST109-2221-E-194-023-MY2).

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  1. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, 621, Taiwan, R.O.C.

    Wei-Kuo Chiang & Ming-Wei Wang

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This article is part of the topical collection “Applications of Cloud Computing, Data Analytics and Building Secure Networks” guest edited by Rajnish Sharma, Pao-Ann Hsiung and Sagar Juneja.

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Chiang, WK., Wang, MW. Edge-Based Evolved Packet Core (EPC) Refactoring for High Speed Mobility. SN COMPUT. SCI. 2, 343 (2021). https://doi.org/10.1007/s42979-021-00718-1

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