Adaptive Video Streaming over 6G Networks: Buffer Control and User Behavior Analysis
Kevin Nassisid, Teef David, Kassi Muhammad

TL;DR
This paper investigates adaptive video streaming over 6G networks, focusing on buffer control and user behavior analysis to enhance QoE through novel strategies validated by simulations.
Contribution
It introduces new buffer management techniques leveraging 6G features and analyzes user viewing behaviors to improve adaptive streaming algorithms.
Findings
Proposed buffer control strategies reduce rebuffering incidents.
User behavior insights enable more effective adaptive streaming.
Simulation results demonstrate improved streaming quality and user experience.
Abstract
This paper delves into the synergistic potential of adaptive video streaming over emerging 6G wireless networks, emphasizing innovative buffer control techniques and detailed analysis of user viewing behaviors. As 6G technology heralds a new era with significantly enhanced capabilities including higher bandwidths, lower latencies, and increased connection densities, it is poised to fundamentally transform video streaming services. This study explores the integration of these technological advancements to optimize video streaming processes, ensuring seamless service delivery and superior Quality of Experience (QoE) for users. We propose novel buffer management strategies that leverage the ultra-reliable and low-latency communication features of 6G networks to mitigate issues related to video streaming such as rebuffering and quality fluctuations. Additionally, we examine how insights…
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Taxonomy
TopicsImage and Video Quality Assessment · Advanced Wireless Network Optimization · Video Coding and Compression Technologies
