Access Networks. 4th International Conference, AccessNets 2009, Hong Kong, China, November 1-3, 2009, Revised Selected Papers

Research Article

Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast

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  • @INPROCEEDINGS{10.1007/978-3-642-11664-3_6,
        author={James She and Pin-Han Ho and Basem Shihada},
        title={Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast},
        proceedings={Access Networks. 4th International Conference, AccessNets 2009, Hong Kong, China, November 1-3, 2009, Revised Selected Papers},
        proceedings_a={ACCESSNETS},
        year={2012},
        month={10},
        keywords={wireless video broadcast/multicast energy allocation scalable video coding superposition coding optimization},
        doi={10.1007/978-3-642-11664-3_6}
    }
    
  • James She
    Pin-Han Ho
    Basem Shihada
    Year: 2012
    Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast
    ACCESSNETS
    Springer
    DOI: 10.1007/978-3-642-11664-3_6
James She1,*, Pin-Han Ho1,*, Basem Shihada2
  • 1: University of Waterloo
  • 2: King Abdullah University of Science and Technology
*Contact email: james@bbcr.uwaterloo.ca, pinhan@bbcr.uwaterloo.ca

Abstract

Emerging technologies in Broadband Wireless Access (BWA) networks and video coding have enabled high-quality wireless video broadcast/multicast services in metropolitan areas. Joint source-channel coded wireless transmission, especially using hierarchical/superposition coded modulation at the channel, is recognized as an effective and scalable approach to increase the system scalability while tackling the multi-user channel diversity problem. The power allocation and modulation selection problem, however, is subject to a high computational complexity due to the nonlinear formulation and huge solution space. This paper introduces a dynamic programming framework with conditioned parsing, which significantly reduces the search space. The optimized result is further verified with experiments using real video content. The proposed approach effectively serves as a generalized and practical optimization framework that can gauge and optimize a scalable wireless video broadcast/multicast based on multi-resolution modulation in any BWA network.