• DocumentCode
    2621705
  • Title

    Optimal video stream multiplexing in MBSFN

  • Author

    Wang, Xiaoli ; Zhang, Yongsheng

  • Author_Institution
    Docomo Beijing Commun. Labs. Co., Ltd., Beijing, China
  • fYear
    2009
  • fDate
    16-18 Oct. 2009
  • Firstpage
    360
  • Lastpage
    365
  • Abstract
    Enhanced Multimedia Broadcast/Multicast Service (EMBMS) is a new function defined in 3GPP specification, which supports download delivery and streaming delivery to group users in LTE mobile networks. In 3GPP Release 8 specification, the EMBMS transmission is classified into single-cell transmission and MBSFN (Multicast Broadcast Single Frequency Network transmission). In MBSFN, the statistical multiplexing is used to improve the resource efficiency. By multiplexing parallel streams onto a shared resource, a considerable multiplexing gain can be obtained. An important aspect of statistical multiplexing management is to allocate suitable resource to those multiplexed service (service bundle). In this paper, semi-markov process is used to model the video traffic and the optimal radio resource allocation scheme is proposed based on the existed queue system conclusion.
  • Keywords
    3G mobile communication; Markov processes; multicast communication; multimedia communication; resource allocation; statistical multiplexing; video streaming; 3GPP Release 8; LTE mobile networks; download delivery; enhanced multimedia broadcast multicast service; multicast broadcast single frequency network transmission; radio resource allocation; semi-Markov process; statistical multiplexing management; video stream multiplexing; Bandwidth; Digital multimedia broadcasting; Frequency; Games; Multimedia communication; Resource management; Streaming media; TV broadcasting; Telecommunication traffic; Traffic control; EMBMS; statistical multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Technology and Applications, 2009. ICCTA '09. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4816-6
  • Electronic_ISBN
    978-1-4244-4817-3
  • Type

    conf

  • DOI
    10.1109/ICCOMTA.2009.5349179
  • Filename
    5349179