TY - GEN
T1 - Caching policy optimization for video on demand
AU - Wang, Hao
AU - Han, Shengqian
AU - Yang, Chenyang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - Caching popular contents at the base stations is an effective way to address the challenging data traffic demand driven by video-on-demand (VoD) service. Initial delay is one of the most important factors affecting the quality of experience (QoE) of users for VoD service. Existing work has optimized the caching policy to reduce the average delay for file downloading service. However, considering the fact that the QoE for VoD service does not linearly decrease with the initial delay, the caching policy minimizing the average delay is not optimal for VoD service. In this paper we optimize the caching policy to control the initial delay, aimed at maximizing the average QoE of a user with random requests of videos from a file library. By properly approximating the non-smooth non-concave QoE function, we obtain efficient caching policies for VoD service, based on which the impact of file popularity on the caching policy is analyzed. Simulation results demonstrate the advantages of the proposed caching policy.
AB - Caching popular contents at the base stations is an effective way to address the challenging data traffic demand driven by video-on-demand (VoD) service. Initial delay is one of the most important factors affecting the quality of experience (QoE) of users for VoD service. Existing work has optimized the caching policy to reduce the average delay for file downloading service. However, considering the fact that the QoE for VoD service does not linearly decrease with the initial delay, the caching policy minimizing the average delay is not optimal for VoD service. In this paper we optimize the caching policy to control the initial delay, aimed at maximizing the average QoE of a user with random requests of videos from a file library. By properly approximating the non-smooth non-concave QoE function, we obtain efficient caching policies for VoD service, based on which the impact of file popularity on the caching policy is analyzed. Simulation results demonstrate the advantages of the proposed caching policy.
UR - https://www.scopus.com/pages/publications/85019755268
U2 - 10.1109/WCNC.2017.7925855
DO - 10.1109/WCNC.2017.7925855
M3 - 会议稿件
AN - SCOPUS:85019755268
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Y2 - 19 March 2017 through 22 March 2017
ER -