• DocumentCode
    3328077
  • Title

    An efficient multicast algorithm for the scalable extension of H.264/AVC over IEEE 802.11 WLANs

  • Author

    Chuah, Seong-Ping ; Chen, Zhengzhong ; Tan, Yap-Peng

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    4465
  • Lastpage
    4468
  • Abstract
    We present an efficient resource allocation algorithm for scalable video multicast over wireless links with limited channel access time and transmit energy budget. We first introduce a multicast architecture for the scalable extension of H.264/AVC based video delivery over IEEE 802.11 WLANs. We show that the resource allocation problem is a mixed-integer program for which we propose an efficient solution. Our algorithm explicitly takes into account of relevant factors, such as quality demands of multicast clients, wireless channel conditions, packet length, and different priorities of SVC layers. We maximize the utility of video streaming whilst satisfying channel access and energy constraints. The proposed solution jointly considers PHY mode selection and SNR allocation. Our simulation results demonstrate that the proposed algorithm achieves significant performance improvements for multicast clients in resource-constrained wireless networks.
  • Keywords
    integer programming; resource allocation; telecommunication standards; video coding; video streaming; wireless LAN; H.264 AVC; IEEE 802.11; PHY mode selection; channel access time; mixed-integer program; multicast algorithm; packet length; quality demands; resource allocation; transmit energy budget; video multicast; video streaming; wireless LAN; wireless links; PSNR; Receivers; Resource management; Static VAr compensators; Streaming media; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651156
  • Filename
    5651156