论文标题
6G的网络管理无人机群:技术评论
Swarm of UAVs for Network Management in 6G: A Technical Review
论文作者
论文摘要
第五代(5G)的蜂窝网络导致了超越5G(B5G)网络的实施,这些网络能够将自主服务纳入无人驾驶汽车(无人机)(UAV)。它们提供了能力扩展策略来解决大规模连通性问题并确保超高的吞吐量和低潜伏期,尤其是在网络密度,带宽和交通模式波动的极端或紧急情况下。一方面,6G技术集成了AI/ML,IoT和区块链,以建立非常可靠,智能,安全和无处理的无人机网络。另一方面,6G网络依赖于新的启用技术,例如空气界面和传输技术,以及独特的网络设计,对无人机群提出了新的挑战。考虑到这些挑战,本文重点介绍了在6G移动网络中运行的无人机群所面临的安全性和隐私,情报和能源效率问题。在此最新的评论中,我们将区块链和AI/ML与使用6G生态系统的无人机网络集成在一起。然后提出关键发现,并确定潜在的研究挑战。我们通过在这一新兴研究领域中阐明未来研究来结束审查。
Fifth-generation (5G) cellular networks have led to the implementation of beyond 5G (B5G) networks, which are capable of incorporating autonomous services to swarm of unmanned aerial vehicles (UAVs). They provide capacity expansion strategies to address massive connectivity issues and guarantee ultra-high throughput and low latency, especially in extreme or emergency situations where network density, bandwidth, and traffic patterns fluctuate. On the one hand, 6G technology integrates AI/ML, IoT, and blockchain to establish ultra-reliable, intelligent, secure, and ubiquitous UAV networks. 6G networks, on the other hand, rely on new enabling technologies such as air interface and transmission technologies, as well as a unique network design, posing new challenges for the swarm of UAVs. Keeping these challenges in mind, this article focuses on the security and privacy, intelligence, and energy-efficiency issues faced by swarms of UAVs operating in 6G mobile networks. In this state-of-the-art review, we integrated blockchain and AI/ML with UAV networks utilizing the 6G ecosystem. The key findings are then presented, and potential research challenges are identified. We conclude the review by shedding light on future research in this emerging field of research.