skip to main content
10.1145/2988287.2989145acmconferencesArticle/Chapter ViewAbstractPublication PagesmswimConference Proceedingsconference-collections
research-article

Control-theoretic Scalable Device-to-Device Offloading System for Video Streaming Services

Authors Info & Claims
Published:13 November 2016Publication History

ABSTRACT

This work presents a control-theoretic scalable device-to-device offloading system that provides seamless video streaming services to clients by effectively offloading parts of the video traffic to D2D networks in order to alleviate the cellular network traffic load. In the proposed system, the main functionalities of the content centric networking (CCN) technology are employed to simultaneously download the video content from multiple wireless networks. A two-stage PID-based LTE traffic controller is proposed to determine the amount of traffic to be offloaded to the D2D network among the cellular operator, the D2D servers, and the D2D clients. The proposed system is fully implemented using a CCNx open source and C/C++. Experimental results are provided to demonstrate the performance improvement of the proposed system.

References

  1. Cisco White Paper, "Cisco Visual Networking Index -- Global mobile data traffic forecast, update, 2014--2019," 2015.Google ScholarGoogle Scholar
  2. Ericsson Annual Report, "Welcome to the networked society," 2014.Google ScholarGoogle Scholar
  3. Ericsson, "Ericsson mobility report," 2015.Google ScholarGoogle Scholar
  4. M. Yang, S. Lim, H. Park, and N. Park, "Solving the data overload: Device-to-device bearer control architecture for cellular data offloading," IEEE Vehicular Technology Magazine, Vol. 8, Issue 1, pp. 31--39, Feb. 2013.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Asadi, Q. Wang, and V. Mancuso, "A survey on device-to-device communication in cellular networks," IEEE Communications Surveys & Tutorials, Vol. 16, Issue 4, pp. 1801--1891, Apr. 2014.Google ScholarGoogle ScholarCross RefCross Ref
  6. F. Malandrino, M. Kurant, A. Markopoulou, C. Westphal, and U. Kozat, "Proactive seeding for information cascades in cellular networks," Proceedings of IEEE INFOCOM, pp. 1719--1727, Mar. 2012.Google ScholarGoogle Scholar
  7. S. Belouanas, K. Thai, P. Spathis, M. Amorim, F. Rousseau, and A. Duda, "Content centricity in constrained cellular-assisted D2D communications," Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 140, pp. 134--145, Nov. 2014.Google ScholarGoogle ScholarCross RefCross Ref
  8. Q. Wang, W. Wang, S. Jin, H. Zhu, and N. Zhang, "Quality-optimized joint source selection and power control for wireless multimedia D2D communication using Stackelberg game," IEEE Transactions on Vehicular Technology, Vol. 64, Issue 8, pp. 3755--3769, Sep. 2014.Google ScholarGoogle ScholarCross RefCross Ref
  9. J. Liu, Y. Kawamoto, H. Nishiyama, N. Kato, and N. Kadowaki, "Device-to-Device communications achieve efficient load balancing in LTE-advanced networks," IEEE Wireless Communications, Vol. 21, Issue 2, Apr. 2014.Google ScholarGoogle Scholar
  10. X. Duan, A. Akhtar, and X. Wang, "Software-defined networking-based resource management: data offloading with load balancing in 5G HetNet," EURASIP Journal on Wireless Communications and Networking, Dec. 2015.Google ScholarGoogle ScholarCross RefCross Ref
  11. V. Jacobson, D.K. Smetters, J.D. Thornton, M.F. Plasee, N. Briggs, R. Braynard, "Networking named content", Proceedings of ACM CoNEXT, pp. 1--12, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. CCNx. {Online}. Available: http://blogs.parc.com/ccnx/.Google ScholarGoogle Scholar
  13. A. Detti, B. Ricci, and N. Blefari-Melazzi, "Mobile peer-to-peer video streaming over information-centric networks," Computer Networks, Vol. 81, pp. 272--288, Apr. 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. W. Lin, H. Zhao, and K. Liu, "Incentive cooperation strategies for peer-to-peer live multimedia streaming social networks," IEEE Transactions on Multimedia, Vol. 11, Issue 3, pp. 396--412, Apr. 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. LTE pricing model, http://koreajoongangdaily.joins.com/news/article/Article.aspx?aid=3003941.Google ScholarGoogle Scholar
  16. G. Lee and H. Song, "Cross-layer optimized video streaming based on IEEE 802.11 multi-rate over multi-hop mobile ad hoc networks," ACM/Springer Mobile Networks and Applications, Vol. 15, Issue 5, pp. 652--663, Oct. 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. S. Boyd and L. Vandenberghe, "Convex optimization," Cambridge University Press, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. NetEM, http://www.linuxfoundation.org/collaborate/workgroups/networking/netem.Google ScholarGoogle Scholar
  19. Video test sequence, http://cs-nsl-wiki.cs.surrey.sfu.ca/wiki/Video_Library_and_Tools.Google ScholarGoogle Scholar
  20. ISO/IEC 13818 (MPEG-2), "Generic coding of moving pictures and associated audio information," Nov. 1994.Google ScholarGoogle Scholar
  21. C. Ghali, A. Narayanan, D. Oran, G. Tsudik, and C. A. Wood, "Secure fragmentation for content-centric networks," proceedings of IEEE international symposium on network computing and applications, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. J. Ziegler and N. Nichols, "Optimum settings for automatic controllers," Journal of Dynamic Systems, Measurement, and Control, Vol. 115, pp. 220--222, Jun. 1993.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Control-theoretic Scalable Device-to-Device Offloading System for Video Streaming Services

        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
          MSWiM '16: Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
          November 2016
          370 pages
          ISBN:9781450345026
          DOI:10.1145/2988287

          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: 13 November 2016

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          MSWiM '16 Paper Acceptance Rate36of138submissions,26%Overall Acceptance Rate398of1,577submissions,25%
        • Article Metrics

          • Downloads (Last 12 months)1
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader