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Talk · International Conference on Communications · May 16, 2022

Content Caching in Shared Medium Networks with Non-Uniform and User-Dependent Demands

Abdollah Ghaffari Sheshjavani, Ahmad Khonsari, Seyed Pooya Shariatpanahi, Masoumeh Moradian, Aresh Dadlani

Abstract

Content caching is perceived as a promising approach to offload traffic from shared medium networks by pre-fetching and placing contents in caches during off-peak hours, and taking advantage of multicasting in the delivery times. While most existing efforts on caching are directed towards reducing the traffic rate over the shared medium, little attention is given to user preferences. Though placement based on the heterogeneity of content popularity improves the caching performance, it is understood to be a non-trivial combinatorial optimization problem. In this paper, we investigate the content caching problem under non-uniform and user-dependent demands and propose several heuristic methods by leveraging hybrid coded-uncoded caching, clustering, and the trade-off between local and global popularity of contents. Simulation results validate our analysis and show the out-performance of the proposed schemes with respect to existing methods.

Caching and Content DeliveryAge of Information OptimizationPeer-to-Peer Network Technologiescontent cachingcontent popularityclustering

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