抄録
Throughput prediction contributes a lot to adaptive bitrate control, adjusting the quality of video streaming accordingly to offer smooth media transmission and save energy at the same time. To solve the problem of throughput prediction for real time communication, this paper puts forward a new history-based throughput prediction method applying Hidden Markov Model in mobile networks. The main purpose of this method is to predict future throughput for real time communication in mobile network. Our novel approach utilizes Hidden Markov Model (HMM) with Gaussian Mixture Model (GMM) to deal with history time series of throughput and judge fluctuation factor with total variance when predicting future throughput. By conducting experiments with the new methodology, we compare the accuracy of the proposed method with three other conventional prediction methods. Results show our proposed method could identify data fluctuation effectively and predict future 100s throughput with high accuracy in various situations.
本文言語 | English |
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ホスト出版物のタイトル | 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ISBN(電子版) | 9781509015528 |
DOI | |
出版ステータス | Published - 2016 9月 22 |
イベント | 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 - Seattle, United States 継続期間: 2016 7月 11 → 2016 7月 15 |
Other
Other | 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 |
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国/地域 | United States |
City | Seattle |
Period | 16/7/11 → 16/7/15 |
ASJC Scopus subject areas
- 信号処理
- メディア記述
- コンピュータ ビジョンおよびパターン認識