基于智能边缘计算的数据链:原理、架构与挑战

Intelligent Mobile Edge Computing Enabled Data Link:Theory,Architecture,and Challenges

面向不同应用和业务场景,业界已经研制了面向控制与指挥业务的Link系列数据链、面向数据高速传输业务的通用数据链、面向时间敏感业务的战术目标网络技术数据链等。复杂应用场景下多种差异化业务需求同时共存,为高效适配差异化业务需求,需要快速选取合适的数据链。为此,基于智能边缘计算的智能化、分布式和低时延特性,提出了基于智能边缘计算的数据链,构建了其体系架构,阐明了核心原理,分析了传输机制、资源管理、接入方法等关键技术。最后,探讨了基于智能边缘计算的数据链的未来挑战。

For different applications and service scenarios,multiple data links have been customized,such as Tactical Data Links(TDL)for control and command,Common Data Links(CDL)for high-capacity data transmission,Tactical Targeting Network Technologies(TTNT)for time-sensitive application,etc.Multiple differentiated QoS requirements coexist in complex application scenarios,and intelligent selection of data link technologies is required for efficient adaptation to differentiated QoS requirements.To this end,based on the intelligent,distributed and low latency features of mobile edge computing,this paper proposes a data link based on intelligent mobile edge computing,constructs its architecture,clarifies the core principles,and introduces key techniques such as transmission mechanism,resource management,and access methods.Finally,the future challenges of the data link based on intelligent edge computing are discussed.