skip to main content
10.1145/2999572.2999599acmconferencesArticle/Chapter ViewAbstractPublication PagesconextConference Proceedingsconference-collections
research-article

FlexRAN: A Flexible and Programmable Platform for Software-Defined Radio Access Networks

Published:06 December 2016Publication History

ABSTRACT

Although the radio access network (RAN) part of mobile networks offers a significant opportunity for benefiting from the use of SDN ideas, this opportunity is largely untapped due to the lack of a software-defined RAN (SD-RAN) platform. We fill this void with FlexRAN, a flexible and programmable SD-RAN platform that separates the RAN control and data planes through a new, custom-tailored southbound API. Aided by virtualized control functions and control delegation features, FlexRAN provides a flexible control plane designed with support for real-time RAN control applications, flexibility to realize various degrees of coordination among RAN infrastructure entities, and programmability to adapt control over time and easier evolution to the future following SDN/NFV principles. We implement FlexRAN as an extension to a modified version of the OpenAirInterface LTE platform, with evaluation results indicating the feasibility of using FlexRAN under the stringent time constraints posed by the RAN. To demonstrate the effectiveness of FlexRAN as an SD-RAN platform and highlight its applicability for a diverse set of use cases, we present three network services deployed over FlexRAN focusing on interference management, mobile edge computing and RAN sharing.

References

  1. https://developers.google.com/protocol-buffers/.Google ScholarGoogle Scholar
  2. https://gitlab.eurecom.fr/oai/openair-cn.Google ScholarGoogle Scholar
  3. http://www.linuxfoundation.org/collaborate/workgroups/networking/netem.Google ScholarGoogle Scholar
  4. http://dashif.org/reference/players/javascript/v2.1.1/samples/dash-if-reference-player/index.html.Google ScholarGoogle Scholar
  5. http://dash.edgesuite.net/dash264/TestCases/2a/qualcomm/1/MultiResMPEG2.mpd.Google ScholarGoogle Scholar
  6. http://dash.edgesuite.net/akamai/streamroot/050714/Spring_4Ktest.mpd.Google ScholarGoogle Scholar
  7. 5G PPP Architecture Working Group. View on 5G Architecture, 2016.Google ScholarGoogle Scholar
  8. I. F. Akyildiz et al. SoftAir: A software defined networking architecture for 5G wireless systems. Computer Networks, 85:1--18, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. H. Ali-Ahmad et al. CROWD: an SDN approach for DenseNets. In Second European Workshop on Software Defined Networks (EWSDN), pages 25--31. IEEE, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. G. Andrews et al. What will 5G be? IEEE Journal on Selected Areas in Communications, 32(6):1065--1082, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  11. A. Apostolaras et al. Evolved User Equipment for Collaborative Wireless Backhauling in Next Generation Cellular Networks. In 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), pages 408--416. IEEE, 2015.Google ScholarGoogle Scholar
  12. M. Arslan et al. Software-Defined Networking in Cellular Radio Access Networks: Potential and Challenges. Communications Magazine, IEEE, 53(1):150--156, 2015.Google ScholarGoogle ScholarCross RefCross Ref
  13. A. Banerjee et al. Scaling the LTE Control-Plane for Future Mobile Access. In Proceedings of the 11th ACM CoNEXT. ACM, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. M. Bansal et al. OpenRadio: A Programmable Wireless Dataplane. In Proceedings of the 1st workshop on Hot topics in Software Defined Networks, pages 109--114. ACM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. C. Bernardos et al. An Architecture for Software Defined Wireless Networking. Wireless Communications, IEEE, 21(3):52--61, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  16. F. Boccardi et al. Five Disruptive Technology Directions for 5G. Communications Magazine, IEEE, 52(2):74--80, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  17. T. Chen et al. SoftMobile: Control Evolution for Future Heterogeneous Mobile Networks. Wireless Communications, IEEE, 21(6):70--78, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  18. I. Chih-Lin et al. Recent Progress on C-RAN Centralization and Cloudification. Access, IEEE, 2:1030--1039, 2014.Google ScholarGoogle Scholar
  19. X. Costa-Pérez et al. Radio Access Network Virtualization for Future Mobile Carrier Networks. Communications Magazine, IEEE, 51(7):27--35, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  20. S. Costanzo et al. OpeNB: A framework for Virtualizing Base Stations in LTE Networks. In IEEE International Conference on Communications (ICC), pages 3148--3153. IEEE, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  21. S. Deb et al. Algorithms for Enhanced Inter Cell Interference Coordination (eICIC) in LTE HetNets. IEEE/ACM Transactions on Networking (TON), 22(1):137--150, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. A. Gudipati et al. SoftRAN: Software Defined Radio Access Network. In Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking, pages 25--30. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Y. C. Hu et al. Mobile Edge Computing - A Key Technology Towards 5G. ETSI White Paper, 11, 2015.Google ScholarGoogle Scholar
  24. X. Jin et al. SoftCell: Scalable and Flexible Cellular Core Network Architecture. In Proceedings of the 9th ACM CoNEXT, pages 163--174. ACM, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. S. Katti and L. E. Li. RadioVisor: A Slicing Plane for Radio Access Networks. In Open Networking Summit 2014 (ONS 2014), 2014.Google ScholarGoogle Scholar
  26. J. Khun-Jush et al. Licensed shared access as complementary approach to meet spectrum demands: Benefits for next generation cellular systems. In ETSI Workshop on reconfigurable radio systems, 2012.Google ScholarGoogle Scholar
  27. L. E. Li et al. Toward Software-Defined Cellular Networks. In European Workshop on Software Defined Networking (EWSDN), pages 7--12. IEEE, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. T. Mahmoodi and S. Seetharaman. Traffic Jam: Handling the Increasing Volume of Mobile Data Traffic. Vehicular Technology Magazine, IEEE, 9(3):56--62, 2014.Google ScholarGoogle Scholar
  29. M. Moradi et al. SoftMoW: Recursive and Reconfigurable Cellular WAN Architecture. In Proceedings of the 10th ACM CoNEXT, pages 377--390. ACM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. NGMN Alliance. 5G White Paper, 2015.Google ScholarGoogle Scholar
  31. N. Nikaein et al. OpenAirInterface: A flexible platform for 5G research. ACM SIGCOMM CCR, 44(5):33--38, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. K. Pentikousis et al. MobileFlow: Toward Software-Defined Mobile Networks. Communications Magazine, IEEE, 51(7):44--53, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  33. Z. A. Qazi et al. KLEIN: A Minimally Disruptive Design for an Elastic Cellular Core. In Proceedings of the 2nd ACM SIGCOMM Symposium on Software Defined Networking Research. ACM, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. I. Sodagar. The MPEG-DASH Standard for Multimedia Streaming Over the Internet. IEEE MultiMedia, pages 62--67, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. A. Syed and J. Van der Merwe. Proteus: A network service control platform for service evolution in a mobile software defined infrastructure. In Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, pages 257--270. ACM, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. K. Tsagkaris et al. SON Coordination in a Unified Management Framework. In 77th IEEE Vehicular Technology Conference (VTC Spring), pages 1--5. IEEE, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  37. B. Wang et al. Multimedia Streaming via TCP: An Analytic Performance Study. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 4(2):16, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. W. Wu et al. PRAN: Programmable Radio Access Networks. In Proceedings of the 13th ACM Workshop on Hot Topics in Networks, page 6. ACM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. M. Yang et al. OpenRAN: A Software-defined RAN Architecture Via Virtualization. ACM SIGCOMM Computer Communication Review, 43(4):549--550, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. V. Yazıcı et al. A new control plane for 5G network architecture with a case study on unified handoff, mobility, and routing management. Communications Magazine, IEEE, 52(11):76--85, 2014.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. FlexRAN: A Flexible and Programmable Platform for Software-Defined Radio Access Networks

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              CoNEXT '16: Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies
              December 2016
              524 pages
              ISBN:9781450342926
              DOI:10.1145/2999572

              Copyright © 2016 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 6 December 2016

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article

              Acceptance Rates

              CoNEXT '16 Paper Acceptance Rate30of160submissions,19%Overall Acceptance Rate198of789submissions,25%

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader