TY - GEN
T1 - Reinforcement Learning Based Adaptive Video Streaming on Named Data Networking
AU - Awiphan, Suphakit
AU - Bootkrajang, Jakramate
AU - Katto, Jiro
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/13
Y1 - 2020/10/13
N2 - Under complex network conditions, adaptive video streaming requires additional state information for optimal quality selection. In this paper, we present the applicability of reinforcement learning techniques on NDN adaptive streaming. Both buffer-based and throughput-based adaptation are studied and observed their characteristics. The Q-learning algorithm is used to learn state-action values. Based on a greedy policy, the simulation results demonstrate that RL agents tend to choose the best possible bitrate which consequently reduces the quality fluctuation in adaptive streaming.
AB - Under complex network conditions, adaptive video streaming requires additional state information for optimal quality selection. In this paper, we present the applicability of reinforcement learning techniques on NDN adaptive streaming. Both buffer-based and throughput-based adaptation are studied and observed their characteristics. The Q-learning algorithm is used to learn state-action values. Based on a greedy policy, the simulation results demonstrate that RL agents tend to choose the best possible bitrate which consequently reduces the quality fluctuation in adaptive streaming.
KW - adaptive video streaming
KW - named data networking
KW - reinforcement learning
UR - http://www.scopus.com/inward/record.url?scp=85099407952&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099407952&partnerID=8YFLogxK
U2 - 10.1109/GCCE50665.2020.9292037
DO - 10.1109/GCCE50665.2020.9292037
M3 - Conference contribution
AN - SCOPUS:85099407952
T3 - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
SP - 405
EP - 406
BT - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE Global Conference on Consumer Electronics, GCCE 2020
Y2 - 13 October 2020 through 16 October 2020
ER -