Improving wireless network capacity by logical discontinuous coverage

Weis, Frédéric; Allard, Fabien; Luu, Antoine; Alberi-Morel, Marie-Line; Kerboeuf, Sylvaine

doi:10.1109/iswcs.2008.4726019

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The larger buffer typically also results in a longer delay before the play‐out starts, thereby affecting the user's overall quality of experience (QoE). A solution is proposed in [15] to temporarily cache a video stream in the network and in the client to mitigate an extreme case in which there are locations with no connectivity at all interspersed with locations with good connectivity.…”

Section: Mobile Video Optimization Techniquesmentioning

confidence: 99%

Mobile video optimization at the base station: Adaptive guaranteed bit rate for HTTP adaptive streaming

Viswanathan

Vleeschauwer²,

Beck³

et al. 2013

Bell Labs Tech. J.

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Video is expected to be the dominant application by traffic volume over mobile networks in the near future. Mobile network operators are deploying video optimization techniques to enhance the user experience and network utilization for video delivery. Video optimization is typically “out‐of‐network” and includes techniques such as transcoding, transrating, time shifting and pacing that are implemented outside of mobile radio access and core networks. However, such techniques cannot easily exploit information about real time cell congestion and radio conditions for the video terminals because it is difficult to obtain such information from the radio access network. We propose a novel “in‐network” video optimization technique, named Adaptive Guaranteed Bit Rate (AGBR), for HTTP‐based Adaptive Streaming (HAS) video. This optimization technique is implemented at the base station and can thus exploit knowledge of the radio and congestion conditions. With only limited knowledge of the video stream properties or content, AGBR works by adjusting the throughput delivered to the different HAS clients that in turn adjust the video quality they request. The optimization algorithm maximizes aggregate quality across multiple video flows served by the base station without starving data clients, thereby improving the overall quality of experience. We demonstrate through extensive analytical modeling and simulations that AGBR can adapt to changing network conditions to support more video sessions at an acceptable quality than alternative algorithms, while enforcing fairness among all users competing for resources within a sector. © 2013 Alcatel‐Lucent.

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Section: Mobile Video Optimization Techniquesmentioning

confidence: 99%