Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet connectivity to meet the requirements of different applications, ranging from virtual reality to the Internet of Things. To this aim, edge caching, computing, and communication (edge-C3) have emerged to bring network resources (i.e., bandwidth, storage, and computing) closer to end users. Edge-C3 improves the network resource utilization as well as the quality of experience (QoE) of end users. Recently, several video-oriented mobile applications (e.g., live content sharing, gaming, and augmented reality) have leveraged edge-C3 in diverse scenarios involving video streaming in both the downlink and the uplink. Hence, a large number of recent works have studied the implications of video analysis and streaming through edge-C3. This article presents an in-depth survey on video edge-C3 challenges and state-of-the-art solutions in next-generation wireless and mobile networks. Specifically, it includes: a tutorial on video streaming in mobile networks (e.g., video encoding and adaptive bit-rate streaming); an overview of mobile network architectures, enabling technologies, and applications for video edge-C3; video edge computing and analytics in uplink scenarios (e.g., architectures, analytics, and applications); and video edge caching, computing and communication methods in downlink scenarios (e.g., collaborative, popularity-based, and context-aware). A new taxonomy for video edge-C3 is proposed and the major contributions of recent studies are first highlighted and then systematically compared. Finally, several open problems and key challenges for future research are outlined.

中文翻译：

---

无线边缘的视频缓存，分析和交付：调查和未来方向

未来的无线网络将提供高带宽，低延迟和超可靠的Internet连接，以满足从虚拟现实到物联网的各种应用程序的需求。为此，边缘缓存，计算和通信（edge-C3）应运而生，以使网络资源（即带宽，存储和计算）更接近最终用户。Edge-C3提高了网络资源利用率以及最终用户的体验质量（QoE）。近来，一些面向视频的移动应用程序（例如，实时内容共享，游戏和增强现实）在涉及下行链路和上行链路中的视频流的各种场景中利用了Edge-C3。因此，大量最新作品研究了视频分析和通过Edge-C3进行流式传输的含义。本文对下一代无线和移动网络中的视频Edge-C3挑战和最新解决方案进行了深入调查。具体来说，它包括：关于移动网络中视频流的教程（例如，视频编码和自适应比特率流）；视频Edge-C3的移动网络体系结构，支持技术和应用概述；上行链路场景中的视频边缘计算和分析（例如，架构，分析和应用程序）；以及下行链路场景中的视频边缘缓存，计算和通信方法（例如，协作，基于流行度和上下文感知）。提出了一种新的视频边缘C3分类法，首先重点介绍了最近的研究成果，然后对其进行了系统地比较。最后，