TY - GEN
T1 - High-QoE DASH Live Streaming Using Reinforcement Learning
AU - Wei, Bo
AU - Song, Hang
AU - Katto, Jiro
N1 - Funding Information:
This research is supported by JSPS KAKENHI Grant Number 20K14740 and Waseda University Grant for Special Research Projects (Project Number: 2021C-132, 2021E-013).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/25
Y1 - 2021/6/25
N2 - With the live video streaming becomes more and more common in daily life such as live meeting and live video call, it is an urgent task to ensure high-quality and low-delay live video streaming service. High user quality of experience (QoE) should be ensured to satisfy the requirement of user, for which latency is one of the important factors. In this paper, a high-QoE live streaming method is proposed with reinforcement learning. Experiments are conducted to evaluate the proposed method. Results demonstrate that the proposal shows the best performance with highest QoE compared with conventional methods in three network conditions. In Ferry case, the QoE is almost twice of the QoE of other methods.
AB - With the live video streaming becomes more and more common in daily life such as live meeting and live video call, it is an urgent task to ensure high-quality and low-delay live video streaming service. High user quality of experience (QoE) should be ensured to satisfy the requirement of user, for which latency is one of the important factors. In this paper, a high-QoE live streaming method is proposed with reinforcement learning. Experiments are conducted to evaluate the proposed method. Results demonstrate that the proposal shows the best performance with highest QoE compared with conventional methods in three network conditions. In Ferry case, the QoE is almost twice of the QoE of other methods.
KW - DASH
KW - QoE
KW - live streaming
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85115386216&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115386216&partnerID=8YFLogxK
U2 - 10.1109/IWQOS52092.2021.9521263
DO - 10.1109/IWQOS52092.2021.9521263
M3 - Conference contribution
AN - SCOPUS:85115386216
T3 - 2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021
BT - 2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021
Y2 - 25 June 2021 through 28 June 2021
ER -