sg 15(5): e2

Research Article

Performance Evaluation and Parameter Optimization of SoftCast Wireless Video Broadcast

Download535 downloads
  • @ARTICLE{10.4108/icst.mobimedia.2015.259038,
        author={Dongxue Yang and Yunqiang Bi and Zhongwei Si and Zhiqiang He and Kai Niu},
        title={Performance Evaluation and Parameter Optimization of SoftCast Wireless Video Broadcast},
        journal={EAI Endorsed Transactions on Serious Games},
        volume={2},
        number={5},
        publisher={EAI},
        journal_a={SG},
        year={2015},
        month={8},
        keywords={wireless video broadcast, softcast, h264, scalable video communication, linear transmission},
        doi={10.4108/icst.mobimedia.2015.259038}
    }
    
  • Dongxue Yang
    Yunqiang Bi
    Zhongwei Si
    Zhiqiang He
    Kai Niu
    Year: 2015
    Performance Evaluation and Parameter Optimization of SoftCast Wireless Video Broadcast
    SG
    EAI
    DOI: 10.4108/icst.mobimedia.2015.259038
Dongxue Yang1,*, Yunqiang Bi1, Zhongwei Si1, Zhiqiang He1, Kai Niu1
  • 1: Key Lab of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications, Beijing, China
*Contact email: dongxueyang01@bupt.edu.cn

Abstract

Wireless video broadcast plays an imp ortant role in multimedia communication with the emergence of mobile video applications. However, conventional video broadcast designs suffer from a cliff effect due to separated source and channel encoding. The newly prop osed SoftCast scheme employs a cross-layer design, whose reconstructed video quality is prop ortional to the channel condition. In this pap er, we provide the p erformance evaluation and the parameter optimization of the SoftCast system. Optimization principles on parameter selection are suggested to obtain a b etter video quality, o ccupy less bandwidth and/or utilize lower complexity. In addition, we compare SoftCast with H.264 in the LTE EPA scenario. The simulation results show that SoftCast provides a b etter p erformance in the scalability to channel conditions and the robustness to packet losses.