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.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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She, J., Ho, PH., Shihada, B. (2010). Optimizing Energy and Modulation Selection in Multi-Resolution Modulation For Wireless Video Broadcast/Multicast. In: Hei, X.J., Cheung, L. (eds) Access Networks. AccessNets 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11664-3_6
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DOI: https://doi.org/10.1007/978-3-642-11664-3_6
Publisher Name: Springer, Berlin, Heidelberg
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