Non-Cooperative Game Theory Based Rate Adaptation for Dynamic Video Streaming over HTTP
Hui Yuan, Huayong Fu, Ju Liu, Junhui Hou, and Sam Kwong

TL;DR
This paper introduces a non-cooperative game theory-based rate adaptation algorithm for DASH video streaming that optimizes user QoE and fairness without requiring a proxy, proven through theoretical analysis and experiments.
Contribution
It presents a novel, proxy-free, game-theoretic algorithm for bandwidth allocation in DASH that guarantees fairness and maximizes QoE, with proven Nash Equilibrium and stability.
Findings
Higher QoE compared to state-of-the-art methods
Maintains nearly optimal buffer lengths for users
Prevents playback interruptions
Abstract
Dynamic Adaptive Streaming over HTTP (DASH) has demonstrated to be an emerging and promising multimedia streaming technique, owing to its capability of dealing with the variability of networks. Rate adaptation mechanism, a challenging and open issue, plays an important role in DASH based systems since it affects Quality of Experience (QoE) of users, network utilization, etc. In this paper, based on non-cooperative game theory, we propose a novel algorithm to optimally allocate the limited export bandwidth of the server to multi-users to maximize their QoE with fairness guaranteed. The proposed algorithm is proxy-free. Specifically, a novel user QoE model is derived by taking a variety of factors into account, like the received video quality, the reference buffer length, and user accumulated buffer lengths, etc. Then, the bandwidth competing problem is formulated as a non-cooperation…
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Taxonomy
TopicsImage and Video Quality Assessment · Network Traffic and Congestion Control · Caching and Content Delivery
