Abstract
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks and beyond. IEC is considered to be a promising backbone of future services and wireless communication systems in 5G integration. In addition, IEC enables various use cases and applications, including autonomous vehicles, augmented and virtual reality, big data analytic, and other customer-oriented services. Moreover, it is one of the 5G technologies that most enhanced market drivers in different fields such as customer service, healthcare, education methods, IoT in agriculture and energy sustainability. However, 5G technological improvements face many challenges such as traffic volume, privacy, security, digitization capabilities, and required latency. Therefore, 6G is considered to be promising technology for the future. To this end, compared to other surveys, this paper provides a comprehensive survey and an inclusive overview of Intelligence Edge Computing (IEC) technologies in 6G focusing on main up-to-date characteristics, challenges, potential use cases and market drivers. Furthermore, we summarize research efforts on IEC in 5G from 2014 to 2021, in which the integration of IEC and 5G technologies are highlighted. Finally, open research challenges and new future directions in IEC with 6G networks will be discussed.
Highlights
The sixth-generation (6G) is applied to new communications networks which have evolved throughout the past few years and have incorporated various technologies, such as sensitive sensors, autonomous vehicles, immersive media, and Internet of Things technologies [1]
This survey focuses on reviewing the main characteristics, benefits and challenges of Intelligence Edge Computing (IEC) in 5G based on previous research that took place from 2014 to 2021
Due to the emerging service models which most often use a large number of terminal devices, the increased computing and data needs may overshadow the computing and storage infrastructure installed in the IEC
Summary
The sixth-generation (6G) is applied to new communications networks which have evolved throughout the past few years and have incorporated various technologies, such as sensitive sensors, autonomous vehicles, immersive media, and Internet of Things technologies [1]. IEC is a design that aims to reduce bandwidth and delay by moving the required resources closer to the systems that demand them The background to this claim is based on the promising expectation of lower capital expenditures and the potential to introduce new services, which could potentially be offered separately and could be launched at a reduced cost. The functions of this architecture can be divided into three parts, namely border network functions, identification functions and data processing functions This allows service providers to build a single physical network, with the potential to take into consideration high-bandwidth applications (e.g., broadcasting) and low-bandwidth (e.g., Internet of Things (IoT)) applications with time-low-latency connectivity and internal corporate networks. The integration between IEC and 5G provides important improvements, such as enabling data processing at the network edge to reduce latency and deliver tangible business results
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