2023
DOI: 10.1109/tnsm.2022.3213370
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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… Show more

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Cited by 55 publications
(4 citation statements)
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References 163 publications
(157 reference statements)
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“…Introducing more intelligence and using localization sensors such as Global Navigation Satellite Systems (GNSS) [ 108 ] or global positioning systems (GPS), AGVs get information about their positions and then can localize themselves in known and unknown environments. As wireless physical layer technologies can generally adapt to the wireless environment, their combination with reconfigurable surfaces and deep learning approaches can open up new paths to secure 6G vehicular-aided heterogeneous networks [ 109 , 110 ]. Vehicular edge computing can reduce computational time via optimal computational and communication resource allocation [ 111 ].…”
Section: Discussionmentioning
confidence: 99%
“…Introducing more intelligence and using localization sensors such as Global Navigation Satellite Systems (GNSS) [ 108 ] or global positioning systems (GPS), AGVs get information about their positions and then can localize themselves in known and unknown environments. As wireless physical layer technologies can generally adapt to the wireless environment, their combination with reconfigurable surfaces and deep learning approaches can open up new paths to secure 6G vehicular-aided heterogeneous networks [ 109 , 110 ]. Vehicular edge computing can reduce computational time via optimal computational and communication resource allocation [ 111 ].…”
Section: Discussionmentioning
confidence: 99%
“…UAV can be integrated with emerging intelligent reflecting surfaces (IRS) to enhance PLS of IRS-assisted UAV system in different scenarios while maintaining computational intricacy and system performance [161]. • In future, UAVs may be recharged through different types of energy resources such as fuel cell, solar cell and batteries to prolong flight time and endurance in persistent missions [162][163][164]. Considering hybrid power supply feature, it will important to effectively control UAV's charging characteristics.…”
Section: Future Research Directionsmentioning
confidence: 99%
“…Furthermore, Cao et al [47] surveyed the emerging threats in deep learning-based autonomous driving and listed different types of attacks on sensors, such as jamming and spoofing. In addition to 5G, research has been carried out and a framework has been proposed for sixth-generation (6G) networks, specifically investigating the technology's applicability and the privacy concerns in relation to unmanned aerial vehicles (UAV) [48][49][50]. Ullo et al [12] also highlighted the importance of intelligent environment monitoring systems that use IoT and sensors; however, vendors and providers would need precise metrics to take the necessary actions on time in order to assess the trustworthiness of the systems.…”
Section: Introductionmentioning
confidence: 99%