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Swarm of UAVs for Network Management in 6G: A Technical Review

Muhammad Asghar Khan, Neeraj Kumar, Syed Agha Hassnain Mohsan, Wali Ullah Khan, Moustafa M. Nasralla, Mohammed H. Alsharif, Justyna Żywiołek, Insaf Ullah

2022IEEE Transactions on Network and Service Management215 citationsDOIOpen Access PDF

Abstract

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 network. 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.

Topics & Concepts

Computer scienceSwarm behaviourLow latency (capital markets)Cellular networkComputer networkDistributed computingArtificial intelligenceUAV Applications and OptimizationAdvanced Wireless Communication TechnologiesIoT and Edge/Fog Computing
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