Fazal E. Subhan;Abid Yaqoob;Cristina Hava Muntean;Gabriel-Miro Muntean
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引用次数: 0
Abstract
Network slicing is an emerging paradigm driven by an objective to provide support for personalized services in the highly evolving and dynamic 5G and beyond network environment. The management of network functions and resources under network slicing architecture for rich media content delivery is a challenging task that requires an efficient decision at all network levels to maintain the required Quality of Service (QoS) and Quality of Experience (QoE). Integrating Artificial Intelligence (AI) in the network slice architecture for taking efficient network decision is one of the potential solutions to the problem. In this paper, we summarize the network slicing enabling technologies such as Software Defined Network (SDN), Network Function Virtualization (NFV), Multi-access Edge Computing (MEC) in the context of AI for improving the rich media content delivery. In addition, we present a comprehensive survey on content-centric networking and delivery solutions based on network slicing technologies i.e., MPEG-DASH-enabled Information Centric Networking (ICN) and Content Delivery Network (CDN) for intelligent rich media content caching and prefetching, predictive analysis, content preference optimization, secure resource allocation, and dynamic traffic steering. Several standardization and orchestration mechanisms of 5G network slicing proposed by 3GPP are then presented. Finally, the challenges of AI-enabled 5G network slicing for immersive content delivery are outlined with potential solutions and future research opportunities.
期刊介绍：
IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues.
A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.
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