Skip to main content
SpringerLink
Log in

State Management Function Placement for Service-Based 5G Mobile Core Architecture

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Service-based 5G core architecture is designed to take advantages of network function virtualization and software-defined networking. In addition to the control and data plane separation, the service-based 5G core decouples the computing and storage resources which separates the mobile functions into two categories: “stateless” control functions and state management functions. Such new features improve 5G core network in terms of independent scalability and fast failure recovery. In geo-distributed cloud infrastructure-based 5G core networks, the “stateless” control functions can be deployed to all cloud centers close to access networks to reduce latency and traffic load burden. However, we can not deploy state management functions to all cloud centers which results in the high state transfer cost. In addition, we can not use only one state management function for entire network which results in high traffic load burden. Therefore, the placement of state management functions involves different conflicting design objectives which requires a new model to optimally place these functions. In this paper, we propose a multi-objective model which can achieve the balance between state transfer cost and traffic load burden on state management functions. We first solve our model using ε − constraint approach which tries to optimize one objective while keeping another under threshold. Second, we propose an adaptive solution based on adaptive weighted sum approach to find a set of Pareto optimal solutions for our multi-objective model. Simulation results show that our proposed solution offers better balance between two design objectives compared to other solutions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. (2013) Network Function Virtualization (NFV), Architecture framework, ETSI GS NFV 002 v 1.1.1

  2. (2014) Network Function Virtualization (NFV), Management and Orchestration, ETSI GS NFV-MAN 001 v 1.1.1

  3. (2017) Architecture enhancements for control and user plane separation of EPC nodes, TS 23.214 v15.0.0

  4. (2017) Procedures for the 5G System, 3GPP TS 23.502 v1.3.0

  5. (2017) System Architecture for the 5G System, 3GPP TS 23.501 v1.4.0

  6. Baba H, Matsumoto M, Noritake K (2015) Lightweight virtualized evolved packet core architecture for future mobile communication. In: Proceedings of IEEE wireless communications and networking conference (WCNC). New Orleans, pp 1812–1816

  7. Bagaa M, Taleb T, Ksentini A (2014) Service-aware network function placement for efficient traffic handling in carrier cloud. In: 2014 IEEE wireless communications and networking conference (WCNC). Istanbul, pp 2402–2407

  8. Basta A, Kellerer W, Hoffmann M, Morper HJ, Hoffmann K (2014) Applying NFV and SDN to LTE mobile core gateways, the functions placement problem. In: Proceedings of the 4th workshop on all things cellular: operations, applications, and challenges. Chicago, pp 33–38

  9. Basta A, Blenk A, Hoffmann K, Morper HJ, Hoffmann M, Kellerer W (2017) Towards a cost optimal design for a 5G mobile core network based on SDN and NFV. IEEE Trans Netw Serv Manag 14:1061–1075

    Article  Google Scholar 

  10. Baumgartner A, Reddy VS, Bauschert T (2015) Mobile core network virtualization: a model for combined virtual core network function placement and topology optimization. In: Proceedings of the 2015 1st IEEE conference on network softwarization (NetSoft). London, pp 1–9

  11. Chen M, Qian Y, Mao S, Tang W, Yang X (2016) Software-defined mobile networks security. Mob Netw Appl 21(5):729–743

    Article  Google Scholar 

  12. Do TX, Nguyen VG, Kim Y (2016) SDN-based mobile packet core for multicast and broadcast services. Wireless Networks

  13. Erel M, Teoman E, Özçevik Y, Seçinti G, Canberk B (2015) Scalability analysis and flow admission control in mininet-based sdn environment. In: 2015 IEEE conference on network function virtualization and software defined network (NFV-SDN). San Francisco, pp 18–19

  14. Gurobi Optimization I (2017) Gurobi optimizer reference manual. http://www.gurobi.com

  15. Kiess W, An A, Beker S (2015) Software-as-a-service for the virtualization of mobile network gateways. In: Proceedings of IEEE global communications conference (GLOBECOM 2015). San Diego, pp 1–6

  16. Lange S, Gebert S, Zinner T, Tran-Gia P, Hock D, Jarschel M, Hoffmann M (2015) Heuristic approaches to the controller placement problem in large scale SDN networks. IEEE Trans Netw Serv Manag 12:4–17

    Article  Google Scholar 

  17. Mavromatis I, Tassi A, Rigazzi G, Piechocki RJ, Nix A (2018) Multi-radio 5g architecture for connected and autonomous vehicles: application and design insights. EAI Endorsed Trans Indus Netw Intell Syst 4:13

    Google Scholar 

  18. NGMN P1 WS1 E2E Architecture Team (2016) Description of network slicing concept. Tech. rep., NGMN Alliance

  19. Nguyen LD (2018) Resource allocation for energy efficiency in 5g wireless networks. EAI Endorsed Trans Indus Netw Intell Syst 5:14

    Google Scholar 

  20. Nguyen N, Duong TQ, Ngo HQ, Hadzi-Velkov Z, Shu L (2016) Secure 5g wireless communications: a joint relay selection and wireless power transfer approach. IEEE Access 4:3349–3359

    Article  Google Scholar 

  21. Nguyen VG, Do TX, Kim Y (2016) SDN and virtualization-based LTE mobile network architectures: a comprehensive survey. Wirel Pers Commun 86(3):1401–1438

    Article  Google Scholar 

  22. Nguyen VG, Brunstrom A, Grinnemo KJ, Taheri J (2017) SDN/NFV-based mobile packet core network architectures: a survey. IEEE Commun Surv Tutor 19(3):1567–1602

    Article  Google Scholar 

  23. Obadia M, Bouet M, Rougier JL, Iannone L (2015) A greedy approach for minimizing SDN control overhead. In: Proceedings of the 2015 1st IEEE conference on network softwarization (NetSoft). London, pp 1–5

  24. Open Networking Foundation (2014) SDN architecture. ONF TR-502

  25. Paper CW (2017) Evolving the mobile core to being cloud native

  26. Pentikousis K, Wang Y, Hu W (2013) Mobileflow: toward software-defined mobile networks. IEEE Commun Mag 51(7):44–53

    Article  Google Scholar 

  27. Secinti G, Canberk B, Duong TQ, Shu L (2017) Software defined architecture for vanet: a testbed implementation with wireless access management. IEEE Commun Mag 55(7):135–141

    Article  Google Scholar 

  28. Steffen G, David H, Thomas Z, Phuoc TG, Marco H, Michael J, Ernst-Dieter S, Banse R-PB (2014) Demonstrating the optimal placement of virtualized cellular network functions in case of large crowd events. In: Proceedings of the 2014 ACM conference on SIGCOMM. New York, pp 359–360

  29. Taleb T, Ksentini A (2013) Gateway relocation avoidance-aware network function placement in carrier cloud. In: Proceedings of the 16th ACM international conference on modeling, analysis and simulation of wireless and mobile systems. Barcelona

  30. Taleb T, Bagaa M, Ksentini A (2015) User mobility-aware virtual network function placement for virtual 5g network infrastructure. In: 2015 IEEE international conference on communications (ICC). London, pp 3879–3884

  31. Vo N, Duong TQ, Guizani M, Kortun A (2018) 5g optimized caching and downlink resource sharing for smart cities. IEEE Access 6:31,457–31,468

    Article  Google Scholar 

  32. Vo N, Duong TQ, Tuan HD, Kortun A (2018) Optimal video streaming in dense 5g networks with d2d communications. IEEE Access 6:209–223

    Article  Google Scholar 

  33. de Weck O, Kim IY (2005) Adaptive weighted sum method for bi-objective optimization. Struct Multidiscip Optim 29(2):149–158

  34. Xin J, Erran LL, Laurent V, Jennifer R (2013) SoftCell: scalable and flexible cellular core network architecture. In: Proceedings of the Ninth Acm conference on emerging networking experiments and technologies. Santa Barbara, pp 163–174

Download references

Acknowledgment

This work was supported by Institute for Information and communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No. IITP-2018-2017-0-01633, ITRC(Information Technology Research Center) and No.2017-0-00613, Development of Content-oriented Delay Tolerant networking in Multi-access Edge Computing Environment)

Author information

Authors and Affiliations

  1. Soongsil University, Seoul, South Korea

    Truong-Xuan Do & Younghan Kim

Authors
  1. Truong-Xuan Do
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Younghan Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Truong-Xuan Do.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Do, TX., Kim, Y. State Management Function Placement for Service-Based 5G Mobile Core Architecture. Mobile Netw Appl 24, 504–516 (2019). https://doi.org/10.1007/s11036-018-1153-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-018-1153-5

Keywords

Search

Navigation