摘要
无人机通信系统具有强视距、易部署等优势,是第六代移动通信系统(6G)的重要组成部分。另一方面,雾计算技术通过将算力部署至网络边缘,能够有效支撑多种新兴智能服务的性能需求。在无人机通信系统中结合雾计算,有望进一步增加容量、降低时延及提升服务质量,但二者如何结合,学界和业界尚未有明确方案。为此,提出了一种基于雾计算的智能无人机通信系统架构,并讨论了支持该架构的理论基础和关键赋能技术,最后展望了基于雾计算的智能无人机通信系统的未来发展方向及挑战。
The UAV communication system is an important part of the sixth-generation mobile communication system(6G), which has the advantages of strong line-of-sight and easy deployment. On the other hand, fog computing technology can effectively support the performance requirements of a variety of emerging intelligent services by deploying computing resources to the edge of the network. Combining fog computing in UAV communication systems is expected to further increase capacity, reduce delay and improve service quality. However, academia and industry have not yet made clear how to integrate the two. To this end, an intelligent UAV communication system architecture based on fog computing is proposed, and the theoretical basis and key enabling technologies supporting the architecture are discussed. Finally, the future development direction and challenges of intelligent UAV communication systems based on fog computing have been prospected.
作者
刘梦
马睿
刘晨熙
LIU Meng;MA Rui;LIU Chenxi(School of Information and Communication Engineering,Bering University of Posts and Telecommunications,Bering 100876,China)
出处
《移动通信》
2023年第3期19-24,共6页
Mobile Communications
基金
国家重点研发计划项目(2021YFB2900200)
国家自然科学基金青年项目(62001047)
中国通信学会青年人才托举项目(YESS20200064)。
关键词
雾计算
无人机通信
无线智能
fog computing
unmanned aerial vehicle communication
wireless intelligence
