Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach
Mingyu Li, Changkun Jiang, Lin Gao, Tong Wang, and Yufei Jiang

TL;DR
This paper proposes an evolutionary game theory-based framework for incentivizing mobile device caching and sharing of content at the network edge, significantly reducing transmission costs and cellular load.
Contribution
It introduces a novel game-theoretic approach to analyze and optimize user incentives for caching and sharing content in mobile edge networks.
Findings
Achieves up to 55.2% reduction in total transmission cost.
Reduces cellular load by up to 56.4%.
Outperforms existing caching schemes in simulations.
Abstract
Mobile Edge Caching is a promising technique to enhance the content delivery quality and reduce the backhaul link congestion, by storing popular content at the network edge or mobile devices (e.g. base stations and smartphones) that are proximate to content requesters. In this work, we study a novel mobile edge caching framework, which enables mobile devices to cache and share popular contents with each other via device-to-device (D2D) links. We are interested in the following incentive problem of mobile device users: whether and which users are willing to cache and share what contents, taking the user mobility and cost/reward into consideration. The problem is challenging in a large-scale network with a large number of users. We introduce the evolutionary game theory, an effective tool for analyzing large-scale dynamic systems, to analyze the mobile users' content caching and sharing…
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Taxonomy
TopicsCaching and Content Delivery · Cooperative Communication and Network Coding · Opportunistic and Delay-Tolerant Networks
