Analysis and Optimization of Caching and Multicasting for Multi-Quality Videos in Large-Scale Wireless Networks
Dongdong Jiang, Ying Cui

TL;DR
This paper studies joint caching and multicasting strategies for multi-quality videos in large-scale wireless networks, deriving analytical expressions and proposing optimization methods to enhance transmission success probabilities.
Contribution
It introduces a novel joint caching and multicasting scheme for multi-quality videos, with tractable analysis and a two-stage optimization approach for high-density user scenarios.
Findings
Proposed caching schemes improve transmission success rates.
Analytical expressions reveal diminishing returns in high-density regions.
Optimization methods significantly outperform baseline schemes.
Abstract
Efficient dissemination of videos is an important problem for mobile telecom carriers. In this paper, to facilitate massive video dissemination, we study joint caching and multicasting for multi-quality videos encoded using two video encoding techniques, namely scalable video coding (SVC), and HEVC or H.264 as in dynamic adaptive streaming over HTTP (DASH) respectively, in a large-scale wireless network. First, for each type of videos, we propose a random caching and multicasting scheme, carefully reflecting the relationship between layers of an SVC-based video or descriptions of a DASH-based video. Then, for each type of videos, we derive tractable expressions for the successful transmission probability in the general and high user density regions, respectively, utilizing tools from stochastic geometry. The analytical results reveal that in the high user density region, the marginal…
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Taxonomy
TopicsCaching and Content Delivery · Image and Video Quality Assessment · Peer-to-Peer Network Technologies
