Demo Abstract: Context-Aware Video Streaming With Q-Learning For Mec-Enabled Cellular Networks
IEEE INFOCOM 2018 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS)(2018)
摘要
With the proliferation of video streaming service, how to enhance user Quality of Experience (QoE) against the uneven video quality in highly dynamic networks has become a growing concern. Compared with the common solutions in which video streaming adaptation algorithms are implemented on the client-side, we proposed an MEC-side (Mobile Edge Computing) context-aware Q-leaning based video streaming approach to overcome client-driven solutions' weakness of competing behavior and difficulty in enforcing management policies. A working prototype testbed is built by deploying our video streaming platform on an MEC server (close to commercial eNBs) at a real 4G LTE network. Experiment results show our proposed approach adapts better to network variation.
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关键词
MEC-enabled cellular networks,video streaming service,QoE,uneven video quality,client-side,client-driven solutions,competing behavior,user quality-of-experience,context-aware video streaming,video streaming adaptation algorithms,MEC-side context-aware Q-leaning based video streaming approach,mobile edge computing,4G LTE network,MEC server,working prototype testbed
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