• DocumentCode
    1307204
  • Title

    Energy-Efficient Video Multicast in 4G Wireless Systems

  • Author

    Ya-Ju Yu ; Pi-Cheng Hsiu ; Ai-Chun Pang

  • Author_Institution
    Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    11
  • Issue
    10
  • fYear
    2012
  • Firstpage
    1508
  • Lastpage
    1522
  • Abstract
    Layer-based video coding, together with adaptive modulation and coding, is a promising technique for providing real-time video multicast services on heterogeneous mobile devices. With the rapid growth of data communications for emerging applications, reducing the energy consumption of mobile devices is a major challenge. This paper addresses the problem of resource allocation for video multicast in fourth-generation wireless systems, with the objective of minimizing the total energy consumption for data reception. First, we consider the problem when scalable video coding is applied. We prove that the problem is NP-hard and propose a 2-approximation algorithm to solve it. Then, we investigate the problem under multiple description coding, and show that it is also NP-hard and cannot be approximated in polynomial time with a ratio better than 2, unless P = NP. To solve this case, we develop a pseudopolynomial time 2-approximation algorithm. The results of simulations conducted to compare the proposed algorithms with a brute-force optimal algorithm and a conventional approach are very encouraging.
  • Keywords
    4G mobile communication; adaptive codes; adaptive modulation; computational complexity; resource allocation; video coding; 2-approximation algorithm; 4G wireless systems; NP-hard problem; adaptive coding; adaptive modulation; data communications; data reception; energy consumption; energy-efficient video multicast; fourth-generation wireless systems; heterogeneous mobile devices; layer-based video coding; multiple description coding; real-time video multicast services; resource allocation; scalable video coding; Approximation algorithms; Energy consumption; Modulation; Resource management; Static VAr compensators; Streaming media; 4G wireless systems.; Energy efficiency; adaptive modulation and coding; multiple description coding; scalable video coding; video multicast;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2011.186
  • Filename
    5999666