8th International Conference on Communications and Networking in China

Research Article

The Optimization of Parameters Configuration for AMR Codec in Mobile Networks

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694590,
        author={Nan Ha and Jing Wang and Zesong Fei and Wenzhi Li and Tingting Yuan and Runchuan Su and Xiao Yang and Xiaoqi Wang},
        title={The Optimization of Parameters Configuration for AMR Codec in Mobile Networks},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={amr codec mode thr hyst icm},
        doi={10.1109/ChinaCom.2013.6694590}
    }
    
  • Nan Ha
    Jing Wang
    Zesong Fei
    Wenzhi Li
    Tingting Yuan
    Runchuan Su
    Xiao Yang
    Xiaoqi Wang
    Year: 2013
    The Optimization of Parameters Configuration for AMR Codec in Mobile Networks
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694590
Nan Ha1,*, Jing Wang1, Zesong Fei1, Wenzhi Li1, Tingting Yuan1, Runchuan Su1, Xiao Yang2, Xiaoqi Wang2
  • 1: School of Information and Electronics, Beijing Institute of Technology
  • 2: The Research Institution of China Mobile
*Contact email: hanan@bit.edu.cn

Abstract

Although the pursuing of the data service diversity has become the mainstream, the speech quality is of vital importance for the network operator in the intensifying competition telecommunication market. The Adaptive Multi-Rate (AMR) codec mode, which is one of the most significant techniques, is recommended by 3rd Generation Partnership Project (3GPP) for audio data compression. Many studies relevant to AMR codec, including the parameter configuration, have been progressed. However, most of them are studied by simulations. In this paper, the study of the configuration of Threshold (THR), Hysteria (HYST) and Initial Codec Mode (ICM) for AMR-FR and AMR-HR are implemented in the commercial network. Totally, 26 schemes are put forward and tested to obtain the optimization configuration, which will be used in the current network to improve the speech service quality.