… Moreover, since some popular contents are shared by V2V edge caching, we plan to
propose a secure caching and sharing mechanism to enhance security and user privacy. …

… with heterogeneous caching models at the edge nodes. Besides, aiming to maximize the
cache hit ratio (CHR) in a two-tier heterogeneous network, we let the edge nodes collaborate. …

… [33] provided an analysis on different kinds of ANN and how to solve edge caching and
computing problem in wireless networks. Since there is no comprehensive survey on AI-based …

… AI is playing a more important role in the mobile edge computing. In this paper, we conduct
… concept of green edge intelligence. Finally, by using a case study on edge caching with AI …

… 1, where we consider the vehicular mobility, edge caching and computational models. In
particular, the yellow vehicle starts to request the contents and their computation from the RSU 1…

… edge network. This article investigates the application of machine learning techniques for
in-network caching in edge … We also discuss the role of edge caching in 5G networks. Moreover…

… by Artificial Intelligence (AI) techniques [4, 5], including but not limited to the application of
AI for the physical layer (PHY), the data link Layer, and traffic control [6]. In particular, related …

… Considering that current research efforts on AI for edge concentrate on WN, service
placement, service caching, and computation offloading, we only focus on these topics in the …

… Extensive studies explicitly demonstrate that edge caching induces improved spectrum
efficiency [6,7], energy efficiency [8,9], and transmission reliability [6,9]. Moreover, the authors in …

… content caching. For centralized edge caching, we aim at maximizing the cache hit rate…
In decentralized edge caching, we consider both the cache hit rate and transmission delay …