Skip to main content
Log in

User plane acceleration service for next-generation cellular networks

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Reducing end-to-end latency is a key requirement for efficient and reliable new services offered by next-generation mobile networks. In this context, it is critical for mobile network operators (MNOs) to enable faster communications over backhaul transport networks between next-generation base stations and core networks. However, MNOs will need to make new investments and optimize many points of their current transport infrastructure to serve next-generation services well. In addition, even if MNOs make these investments, there may always be faults and performance degradation in transport networks. This paper presents a new approach to reduce the dependence of MNOs services on the quality of transport networks and rely on software updates on radio access network and core network components. A hyper text transfer protocol (HTTP)-based user plane that can be cached and accelerated is proposed, making it an ideal solution to combat transport problems in next-generation mobile networks. Numerical tests validate our proposed approach and underscore the significant improvements in transfer time, throughput, and overall performance achieved by leveraging HTTP caching and acceleration techniques. More specifically, GPRS tunneling protocol-user plane (GTP-U) is, on average, 35% slower than HTTP, with the performance difference increasing as the data size grows, primarily due to additional overhead and GTP-U encapsulation time. Additionally, HTTP caching with a size of 20 MB provides a 9.5% acceleration in data transfer time, with an average increase of approximately 9% when the data size exceeds 20 MB.

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

Access this article

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

Instant access to the full article PDF.

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

Similar content being viewed by others

References

  1. Ahmadi, K., Miralavy, S. P., & Ghassemian, M. (2020). Software-defined networking to improve handover in mobile edge networks. International Journal of Communication Systems, 33(14), e4510.

    Article  Google Scholar 

  2. Zeydan, E., Dedeoglu, O., & Turk, Y. (2021). Performance monitoring and evaluation of FTTX networks for 5G backhauling. Telecommunication Systems, 77, 399–412.

    Article  Google Scholar 

  3. Turk, Y., & Zeydan, E. (2020). An experimental measurement analysis of congestion over converged fixed and mobile networks. Wireless Networks, 26, 1017–1032.

    Article  Google Scholar 

  4. Turk, Y., & Zeydan, E. (2020). Hubble: An optical link management system for dense wavelength division multiplexing networks. Turkish Journal of Electrical Engineering & Computer Sciences, 28, 743–756.

    Article  Google Scholar 

  5. 3GPP Technical Specification. (2018). Service requirements for the 5G system. 3GPP TS 22.261 V16.6.0.

  6. Turk, Y., & Zeydan, E. (2019). A dynamic replication scheme of user plane data over lossy backhaul links. In 2019 IEEE symposium on computers and communications (ISCC) (pp. 1–7).

  7. 3GPP Technical Specification. (2019). Technical specification group services and system aspects; Security architecture and procedures for 5G system (Release 16). 3GPP TS 33.501 V16.0.0.

  8. Border, J., Kojo, M., Griner, J., Montenegro, G., & Shelby, Z. (2001). Performance enhancing proxies intended to mitigate link-related degradations. IETF RFC 3135.

  9. Zeydan, E., & Turk, Y. (2019). On the impact of satellite communications over mobile networks: An experimental analysis. IEEE Transactions on Vehicular Technology, 68(11), 11146–11157.

    Article  Google Scholar 

  10. Adax. (2016). Adax FastPlane. Retrieved September 10, 2020, from http://www.adax.com/wp-content/uploads/2018/11/Adax-FastPlane-v1.pdf

  11. Ahmad, I., Suomalainen, J., Porambage, P., Gurtov, A., Huusko, J., & Höyhtyä, M. (2022). Security of satellite-terrestrial communications: Challenges and potential solutions. IEEE Access, 10, 96038–96052.

    Article  Google Scholar 

  12. Jeong, J., Shen, Y., Oh, T., Céspedes, S., Benamar, N., Wetterwald, M., & Härri, J. (2021). A comprehensive survey on vehicular networks for smart roads: A focus on IP-based approaches. Vehicular Communications, 29, 100334.

    Article  Google Scholar 

  13. Jiang, P., Wang, Q., Huang, M., Wang, C., Li, Q., Shen, C., & Ren, K. (2021). Building in-the-cloud network functions: Security and privacy challenges. Proceedings of the IEEE, 109(12), 1888–1919.

    Article  Google Scholar 

  14. Turk, Y., Zeydan, E., & Akbulut, C. A. (2019). On performance analysis of single frequency network with c-ran. IEEE Access, 7, 1502–1519.

    Article  Google Scholar 

  15. Haque, M. E., Tariq, F., Khandaker, M. R. A., Wong, K.-K., & Zhang, Y. (2023). A survey of scheduling in 5G URLLC and outlook for emerging 6G systems. IEEE Access.

  16. Mamane, A., Fattah, M., El Ghazi, M., El Bekkali, M., Balboul, Y., & Mazer, S. (2022). Scheduling algorithms for 5G networks and beyond: Classification and survey. IEEE Access, 10, 51643–51661.

    Article  Google Scholar 

  17. Turk, Y., Zeydan, E., & Akbulut, C. (2019). Experimental performance evaluations of CoMP and CA in centralized radio access networks. Telecommunication Systems, 72, 115–130.

    Article  Google Scholar 

  18. Varis, N., Manner, J., & Heinonen, J. (2011). A layer-2 approach for mobility and transport in the mobile backhaul. In 2011 11th international conference on ITS telecommunications (pp. 268–273).

  19. Homma, S., Miyasaka, T., Matsushima, S., & Voyer, D. (2018). User plane protocol and architectural analysis on 3GPP 5G system. IETF draft-hmm-dmm-5g-uplane-analysis-00.

  20. Sarker, Z. (2018). QUIC—A vehicle for transport protocol evolution. Retrieve August 20, 2020, from https://www.ericsson.com/en/blog/2018/6/quic--a-vehicle-for-transport-protocol-evolution

  21. Bogineni, K., Akhavain, A., Herbert, T., Farinacci, D., Rodriguez-Natal, A., Carofiglio, G., Auge, J., Muscariello, L., Garvia, P.C., & Homma, S. (2018). Optimized mobile user plane solutions for 5G. Internet-Draft.

  22. Nielsen, H. F. (1997). Simple test of amount of system calls in jigsaw. Retrieved September 24, 2020, from https://www.w3.org/Protocols/HTTP/Performance/System/SysCalls.html

  23. IEEE 802.1CM-2018. (2018). Time-sensitive networking for fronthaul. IEEE standard for local and metropolitan area networks

  24. Hirschman, B., Mehta, P., Ramia, K. B., Rajan, A. S., Dylag, E., Singh, A., & McDonald, M. (2015). High-performance evolved packet core signaling and bearer processing on general-purpose processors. IEEE Network, 29(3), 6–14.

    Article  Google Scholar 

  25. Ahluwalia, S., Choquette, G., & Barnett, C. (2018). Acceleration of GTP traffic flows, over a satellite link, in a terrestrial wireless mobile communications system. US Patent No. US2016/0192235A1, issued on August 21.

  26. Hecht, Y., Katz, H., & Tajika, A. (2018). Methods and apparatus for optimizing tunneled traffic. US Patent No. US2015/10057391B2, issued on November 10.

  27. Liu, K., & Lee, J. Y. B. (2016). On improving TCP performance over mobile data networks. IEEE Transactions on Mobile Computing, 15(10), 2522–2536.

    Article  Google Scholar 

  28. Liu, K., Aggarwal, V., Shao, Z., & Chen, M. (2017). Joint upload-download TCP acceleration over mobile data networks. In 14th Annual IEEE international conference on sensing, communication, and networking (SECON) (pp. 1–9). IEEE.

  29. Zeydan, E., Bastug, E., Bennis, M., Kader, M. A., Karatepe, I. A., Er, A. S., & Debbah, M. (2016). Big data caching for networking: Moving from cloud to edge. IEEE Communications Magazine, 54(9), 36–42.

    Article  Google Scholar 

  30. Baştuğ, E., Bennis, M., Zeydan, E., Kader, M. A., Karatepe, I. A., Er, A. S., & Debbah, M. (2015). Big data meets telcos: A proactive caching perspective. Journal of Communications and Networks, 17(6), 549–557.

    Article  Google Scholar 

  31. Khichane, A., Fajjari, I., Aitsaadi, N., & Gueroui, M. (2022). Cloud native 5G: an efficient orchestration of cloud native 5G system. In NOMS 2022-2022 IEEE/IFIP network operations and management symposium (pp. 1–9). IEEE.

  32. Moreira, J. B., Mamede, H., Pereira, V., & Sousa, B. (2020). Next generation of microservices for the 5G service-based architecture. Int. J. Netw. Manag., 8, 1–22.

    Google Scholar 

  33. O-RAN Alliance. (2020). O-ran use cases and deployment scenarios. Retrieved November, 2020, from https://www.o-ran.org/resources

  34. Yang, M., Li, Y., Li, B., Jin, D., & Chen, S. (2016). Service-oriented 5G network architecture: An end-to-end software defining approach. International Journal of Communication Systems, 29(10), 1645–1657.

    Article  Google Scholar 

  35. Zeydan, E., Mangues-Bafalluy, J., Baranda, J., Requena, M., & Turk, Y. (2022). Service based virtual ran architecture for next generation cellular systems. IEEE Access, 10, 9455–9470.

    Article  Google Scholar 

  36. Fielding, R., & Reschke, J. (2014). Hypertext transfer protocol (HTTP/1.1): Message syntax and routing. IETF RFC 7230.

  37. Fielding, R., Nottingham, M., & Reschke, J. (2014). Hypertext transfer protocol (HTTP/1.1): Caching. IETF RFC 7234.

  38. ETSI. Network Functions Virtualisation (NFV); Management and Orchestration. (2014). GS NFV-MAN 001 V1.1.1 (2014-12).

  39. Zeydan, E., Mangues-Bafalluy, J., & Turk, Y. (2021). Intelligent service orchestration in edge cloud networks. IEEE Network, 35(6), 126–132.

    Article  Google Scholar 

  40. Zeydan, E., Turk, Y., & Zorba, B. B. (2022). Enhancing the capabilities of mobile backhaul: A user plane perspective. Journal of Network and Systems Management, 30, 31.

    Article  Google Scholar 

  41. Pedrycz, W. (2022). Granular data compression and representation. IEEE Transactions on Fuzzy Systems.

  42. Chiba, M., Clemm, A., Medley, S., Salowey, J., Thombare, S., & Yedavalli, E. (2013). Cisco service-level assurance protocol. IETF RFC 6812.

  43. Hedayat, K., Krzanowski, R., Morton, A., Yum, K. & Babiarz, J. (2008). A two-way active measurement protocol (twamp). IETF RFC 5357.

  44. Crispin, M. (2003). Internet message access protocol—version 4rev1. IETF RFC 3501.

  45. Stanford-Clark, A., & Nipper, A. (2014). MQTT Version 3.1.1. OASIS Standard.

  46. GNS3. (2018). GNS3 v2.1.11. Retrieved September 2, 2020, from https://www.gns3.com/

  47. Osmocom. (2016). Linux kernel GTP-u. Retrieved September 4, 2020, from https://osmocom.org/projects/linux-kernel-gtp-u/wiki

  48. The Apache HTTP Server Project. Apache2 2.4.4.1, 201p. Retrieved September 7, 2020, from https://httpd.apache.org/

  49. Henning, P. (2016). Varnish HTTP cache. Retrieved September 7, 2020, from https://varnish-cache.org/

  50. Deutsch, P. (1996). Deflate compressed data format specification version 1.3. IETF RFC 1951.

  51. Zeydan, E., Mangues-Bafalluy, J., Dedeoglu, O., & Turk, Y. (2020). Performance comparison of QoS deployment strategies for cellular network services. IEEE Access, 8, 176073–176088.

    Article  Google Scholar 

  52. Turk, Y., & Zeydan, E. (2021). On performance analysis of multioperator ran sharing for mobile network operators. Turkish Journal of Electrical Engineering & Computer Sciences, 29(2), 816–830.

Download references

Funding

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO)-Program UNICO I+D funded by MCIN/AEI/ 10.13039/501100011033 under Grant TSI-063000-2021-54, Grant TSI-063000-2021-55, “ERDF A way of making Europe” project under grant PID2021-126431OB-I00.

Author information

Authors and Affiliations

Authors

Contributions

EZ wrote the main manuscript text and YT prepared figures and simulations. All authors reviewed the manuscript.

Corresponding author

Correspondence to Engin Zeydan.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zeydan, E., Turk, Y. User plane acceleration service for next-generation cellular networks. Telecommun Syst 84, 469–485 (2023). https://doi.org/10.1007/s11235-023-01058-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-023-01058-6

Keywords

Navigation