• DocumentCode
    2717234
  • Title

    Energy optimization in mobile TV broadcast networks

  • Author

    Hefeeda, Mohamed ; Hsu, Cheng-Hsin

  • Author_Institution
    Sch. of Comput. Sci., Simon Fraser Univ., Surrey, BC
  • fYear
    2008
  • fDate
    16-18 Dec. 2008
  • Firstpage
    430
  • Lastpage
    434
  • Abstract
    We consider energy optimization in mobile TV networks in which a base station broadcasts multiple TV channels to mobile receivers over a common wireless medium. In these systems, the base station broadcasts TV channels in bursts with bit rates much higher than the encoding rates of the video streams. Thus, mobile devices can receive a burst of traffic and then turn off their radio frequency circuits till the next burst in order to save energy. To achieve this energy saving, the base station must carefully construct the burst schedule for all TV channels. In this paper, we formulate the problem of determining the optimal burst schedules for broadcasting multiple TV channels. We show that this problem is NP-complete for channels with arbitrary bit rates. We then propose a practical simplification of the general problem, which allows TV channels to have different bit rates, but at power of two increments. Using this simplification, we propose and analyze an optimal burst scheduling algorithm. We implement our algorithm in a mobile TV testbed and we present empirical results to demonstrate its efficiency and optimality.
  • Keywords
    broadcast channels; mobile television; optimisation; scheduling; television broadcasting; NP-complete problem; base station; common wireless medium; energy optimization; mobile TV broadcast networks; mobile receivers; multiple TV channels; optimal burst scheduling algorithm; radio frequency circuits; video streams; Base stations; Bit rate; Mobile TV; Multimedia communication; Radio broadcasting; Radio frequency; Streaming media; TV broadcasting; TV receivers; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information Technology, 2008. IIT 2008. International Conference on
  • Conference_Location
    Al Ain
  • Print_ISBN
    978-1-4244-3396-4
  • Electronic_ISBN
    978-1-4244-3397-1
  • Type

    conf

  • DOI
    10.1109/INNOVATIONS.2008.4781676
  • Filename
    4781676