1st International ICST Conference on Communications and Networking in China

Research Article

H∞-optimal traffic predictor for VBR video

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344737,
        author={Yongfang  Wang and Zhijun Fang and Songyu  Yu and Xiaokang  Yang and Daowen   Zhou},
        title={H∞-optimal traffic predictor for VBR video},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        keywords={H∞ model video traffic VBR MPEG-4 video},
  • Yongfang Wang
    Zhijun Fang
    Songyu Yu
    Xiaokang Yang
    Daowen Zhou
    Year: 2007
    H∞-optimal traffic predictor for VBR video
    DOI: 10.1109/CHINACOM.2006.344737
Yongfang Wang1,*, Zhijun Fang2,3, Songyu Yu1, Xiaokang Yang1, Daowen Zhou4
  • 1: Institute of Image Communication and Information Processing, Shanghai Jiaotong University, Shanghai, 200240. China.
  • 2: Jiangxi University of Finance and Economics, Nanchang,
  • 3: 330013, China.
  • 4: Jiangxi Science and Technology Teacher College, Nanchang, 330013, China.
*Contact email: yfw@sjtu.edu.cn


An H∞-optimal video traffic predicting algorithm is proposed, which not only minimizes the worst possible effect in the estimation error but also does not require a priori knowledge of the noise source statistics. The proposed method has been applied to modeling and predicting MPEG4 variable bit rate (VBR) video traffic. The low computational complexity and good prediction performance of the H∞ predictor are encouraging and reflect on the practicability of the proposed approach. Simulation results show that the proposed model is more robust compared with the Kalman predicting model and is able to predict the original traffic more accurately, thus more suitable for real time video traffic prediction and resource reservation.