• DocumentCode
    701792
  • Title

    User-adaptive layer and power allocation for video multicast over wireless

  • Author

    Jain, Rahul ; De, Swades

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
  • fYear
    2015
  • fDate
    Feb. 27 2015-March 1 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Determining the optimum multicast parameters is a challenge for point-to-multipoint video/multimedia transmission to a set of users with diverse device capabilities and channel conditions. Recent advancements in H.264/AVC video coding standard allow the users to receive video services based on their terminal capabilities and link quality. In this paper we propose an algorithm to determine the optimum transmission parameters, namely, number of layers and transmission power of each layer, for scalable video multicast over wireless. A utility based approach, that is sensitive to user capabilities and link conditions, is used for power control to deliver best user experience. The algorithm uses discontinuous transmission mode for saving power. An improvement varying from 20% to almost 50% has been observed as compared to the competitive algorithms. Performance improvement is much higher, with an average improvement varying from 40% to almost 100%, when the video is transmitted at higher data rates for short durations, thereby allowing users to save more power and enabling the service providers to make optimal use of system capacity.
  • Keywords
    multicast communication; multimedia communication; power control; telecommunication control; video coding; video communication; wireless channels; discontinuous transmission mode; link quality; multimedia transmission; optimum multicast parameters; point-to-multipoint video; power allocation; system capacity; user-adaptive layer; video coding; video multicast; Bandwidth; Manganese; Power control; Receivers; Resource management; Signal to noise ratio; Streaming media; Power allocation; broadcast/multicast; game theory; scalable video coding (SVC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2015 Twenty First National Conference on
  • Conference_Location
    Mumbai
  • Type

    conf

  • DOI
    10.1109/NCC.2015.7084885
  • Filename
    7084885