Video caching in Radio Access Network: Impact on delay and capacity - Chavan, Vikas D.;Kumbhar, Rajendra D.;Shelar, Sandhya R.
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We introduce distributed caching of videos at the base stations of the Radio Access Network (RAN) to significantly improve the video capacity and user experience of mobile networks. To ensure effectiveness of the massively distributed but relatively small-sized RAN caches, unlike Internet content delivery networks (CDNs) that can store millions of videos in a relatively few large-sized caches, we propose RAN-aware reactive and proactive caching policies that utilize User Preference Profiles (UPPs) of active users in a cell. Furthermore, we propose video-aware backhaul and wireless channel…mehr

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Produktbeschreibung
We introduce distributed caching of videos at the base stations of the Radio Access Network (RAN) to significantly improve the video capacity and user experience of mobile networks. To ensure effectiveness of the massively distributed but relatively small-sized RAN caches, unlike Internet content delivery networks (CDNs) that can store millions of videos in a relatively few large-sized caches, we propose RAN-aware reactive and proactive caching policies that utilize User Preference Profiles (UPPs) of active users in a cell. Furthermore, we propose video-aware backhaul and wireless channel scheduling techniques that, in conjunction with edge caching, ensure maximizing the number of concurrent video sessions that can be supported by the end-to-end network while satisfying their initial delay requirements and minimize stalling.In networks where the wireless channel bandwidth may be constrained, application of our video-aware wireless channel scheduler results in significantly (up to250%) higher video capacity with very low stalling probability.
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Autorenporträt
Prof. Vikas D. Chavan ist Assistenzprofessor am Karmaveer Bhaurao Patil Institute Of Management Studies And Research, Satara. Er hat einen M.E. in Computertechnik von der Savitribai Phule Pune Universität. Er hat 6 Jahre Erfahrung in der Lehre und 2 Jahre Erfahrung in der Softwareindustrie.