skip to main content
10.1145/2716281.2836104acmconferencesArticle/Chapter ViewAbstractPublication PagesconextConference Proceedingsconference-collections
research-article

Scaling the LTE control-plane for future mobile access

Published:01 December 2015Publication History

ABSTRACT

In addition to growth of data traffic, mobile networks are bracing for a significant rise in the control-plane signaling. While a complete re-design of the network to overcome inefficiencies may help alleviate the effects of signaling, our goal is to improve the design of the current platform to better manage the signaling. To meet our goal, we combine two key trends. Firstly, mobile operators are keen to transform their networks with the adoption of Network Function Virtualization (NFV) to ensure economies of scales. Secondly, growing popularity of cloud computing has led to advances in distributed systems. In bringing these trends together, we solve several challenges specific to the context of telecom networks. We present SCALE - A framework for effectively virtualizing the MME (Mobility Management Entity), a key control-plane element in LTE. SCALE is fully compatible with the 3GPP protocols, ensuring that it can be readily deployed in today's networks. SCALE enables (i) computational scaling with load and number of devices, and (ii) computational multiplexing across data centers, thereby reducing both, the latencies for control-plane processing, and the VM provisioning costs. Using an LTE prototype implementation and large-scale simulations, we show the efficacy of SCALE.

References

  1. Qian et al. Periodic transfers in mobile applications: origin, impact, and optimization. In ACM WWW, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Forecast: The Internet of Things. http://www.gartner.com/newsroom/id/2636073.Google ScholarGoogle Scholar
  3. Signaling is growing 50% faster than data traffic. http://goo.gl/89RtYs.Google ScholarGoogle Scholar
  4. Managing LTE Core Network Signaling Traffic. https://goo.gl/2nxq0X.Google ScholarGoogle Scholar
  5. Angry Birds Ruffle Signaling Feathers. http://goo.gl/Xqj6ti.Google ScholarGoogle Scholar
  6. Charting the Signaling Storms. http://tinyurl.com/k7qqeeb.Google ScholarGoogle Scholar
  7. AT&T Domain 2.0 Vision White Paper, 2013. http://tinyurl.com/p4uv3s3.Google ScholarGoogle Scholar
  8. Amazon Elastic Cloud. http://aws.amazon.com/ec2/.Google ScholarGoogle Scholar
  9. G. DeCandia et. al. Amazon DynamoDB: A Seamlessly Scalable Database Service. In ACM SIGMOD, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Why distribution is important in NFV? http://tinyurl.com/kyewvqq.Google ScholarGoogle Scholar
  11. Karger et al. Consistent hashing and random trees: Distributed caching protocols for relieving hot spots on the world wide web. STOC '97. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. OpenEPC. http://www.openepc.com/.Google ScholarGoogle Scholar
  13. GPRS enhancements for E-UTRAN access. http://www.3gpp.org/DynaReport/23401.htm.Google ScholarGoogle Scholar
  14. MME Functions. http://goo.gl/1BuKpB.Google ScholarGoogle Scholar
  15. Path to 5G. http://tinyurl.com/kgqe76t.Google ScholarGoogle Scholar
  16. Nguyen et al. Towards Understanding TCP Performance on LTE/EPC Mobile Networks. In All Things Cellular: Operations, Applications, & Challenges. ACM, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Huang et al. Close Examination of Performance and Power Characteristics of 4G Networks. In MobiSys. ACM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Zeljko Savic. Lte design and deployment strategies. http://tinyurl.com/lj2erpg.Google ScholarGoogle Scholar
  19. Shafiq et al. A first look at M2M traffic: Measurement and Characterization. In ACM SIGMETRICS, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. RAN Congestion Analytics. http://tinyurl.com/nlhqg96.Google ScholarGoogle Scholar
  21. VidScale Mediwarp RAN. http://www.vidscale.com.Google ScholarGoogle Scholar
  22. Lakshman et al. Cassandra: A Decentralized Structured Storage System. ACM SIGOP, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Remote Direct Memory Access (RDMA) over IP Problem Statement. http://www.ietf.org/rfc/rfc4297.txt/.Google ScholarGoogle Scholar
  24. Netem. http://www.linuxfoundation.org/collaborate/workgroups/networking/netem.Google ScholarGoogle Scholar
  25. R. Nishtala. Scaling Memcache at Facebook. In NSDI 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Zhang et al. Load balancing of heterogeneous workloads in memcached clusters. In Feedback Computing, 2014.Google ScholarGoogle Scholar
  27. NEC Virtual EPC. http://tinyurl.com/nuefq28.Google ScholarGoogle Scholar
  28. The Journey to Packet Core Virtualization. http://resources.alcatel-lucent.com/asset/174234.Google ScholarGoogle Scholar
  29. Jin et al. Softcell: Scalable and Flexible Cellular Core Network Architecture. In ACM CoNext, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Moradi et al. SoftMoW: Recursive and Reconfigurable Cellular WAN Architecture. In ACM CoNext, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. An et al. DMME: A Distributed LTE Mobility Management Entity. Bell Labs TR, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Scaling the LTE control-plane for future mobile access

        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 '15: Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies
          December 2015
          483 pages
          ISBN:9781450334129
          DOI:10.1145/2716281

          Copyright © 2015 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: 1 December 2015

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate198of789submissions,25%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader