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User-perceived quality-of-experience (QoE) is critical in internet videodelivery systems. Extensive prior work has studied the design of client-sidebitrate adaptation algorithms to maximize single-player QoE. However,multiplayer QoE fairness becomes critical as the growth of video traffic makesit more likely that multiple players share a bottleneck in the network. Despiteseveral recent proposals, there is still a series of open questions. In thispaper, we bring the problem space to light from a control theory perspective byformalizing the multiplayer QoE fairness problem and addressing two keyquestions in the broader problem space. First, we derive the sufficientconditions of convergence to steady state QoE fairness under TCP-basedbandwidth sharing scheme. Based on the insight from this analysis thatin-network active bandwidth allocation is needed, we propose a non-linearMPC-based, router-assisted bandwidth allocation algorithm that regards eachplayer as closed-loop systems. We use trace-driven simulation to show theimprovement over existing approaches. We identify several research directionsenabled by the control theoretic modeling and envision that control theory canplay an important role on guiding real system design in adaptive videostreaming.

On the Efficiency and Fairness of Multiplayer HTTP-based Adaptive Video Streaming