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20172020
most citedDeep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems

15 citations · 18 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.NI2020★ 1 cited

Online Bitrate Selection for Viewport Adaptive 360-Degree Video Streaming

Ming Tang, Vincent W. S. Wong

360-degree video streaming provides users with immersive experience by letting users determine their field-of-views (FoVs) in real time. To enhance the users' quality of experience…

cs.NI2020★ 15 cited

Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems

Ming Tang, Vincent W. S. Wong

In mobile edge computing systems, an edge node may have a high load when a large number of mobile devices offload their tasks to it. Those offloaded tasks may experience large proc…

cs.NI2018

Enabling Edge Cooperation in Tactile Internet via 3C Resource Sharing

Ming Tang, Lin Gao, Jianwei Huang

Tactile Internet often requires (i) the ultra-reliable and ultra-responsive network connection and (ii) the proactive and intelligent actuation at edge devices. A promising approac…

cs.NI2018

Multi-User Cooperative Mobile Video Streaming: Performance Analysis and Online Mechanism Design

Lin Gao, Ming Tang, Haitian Pang +2

Adaptive bitrate streaming enables video users to adapt their playing bitrates to the real-time network conditions, hence achieving the desirable quality-of-experience (QoE). In a…

cs.NI2017

Multi-Dimensional Auction Mechanisms for Crowdsourced Mobile Video Streaming

Ming Tang, Haitian Pang, Shou Wang +3

Crowdsourced mobile video streaming enables nearby mobile video users to aggregate network resources to improve their video streaming performances. However, users are often selfish…