A survey on cellular-connected UAVs: Design challenges, enabling 5G/B5G innovations, and experimental advancements

Mishra, Debashisha; Natalizio, Enrico

doi:10.1016/j.comnet.2020.107451

Cited by 113 publications

(50 citation statements)

References 110 publications

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“…On the one hand, UAVs beyond their traditional usage as standalone mission platforms are more and more being proposed as flying wireless base stations [ 6 , 7 ] in 5G networks and beyond (also known as UAV-assisted cellular communications) to support network connectivity in multi-UAV missions. UAVs include different application scenarios such as coverage and capacity enhancement.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

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Cellular and Virtualization Technologies for UAVs: An Experimental Perspective

Sanchez-Aguero

González

Valera

et al. 2021

Sensors

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The Unmanned Aircraft System (UAS) ecosystem is exponentially growing in both recreational and professional fields to provide novel services and applications to consumers from multiple engineering fields. However, this technology has only scraped the surface of its potential, especially in those cases that require fast reaction times. Accordingly, the UAS Traffic Management (UTM) project aims at efficiently managing the air traffic for Unmanned Aerial Vehicle (UAV) operations, including those cases where UAVs might be remotely managed from a completely different geographical location. With these considerations in mind, this article presents a cellular-assisted UAVs testbed used to complete a mission managed beyond the radio line-of-sight (BRLoS), as well as introducing a virtualization platform for deploying services using containerization technology. In addition, the article conducts a communication performance evaluation in order to determine if the testbed equipment meets the requirements to carry out this BRLoS management. Finally, indoor flight operations are carried out to demonstrate the feasibility and proper operation of the testbed.

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Section: Related Work and Backgroundmentioning

confidence: 99%

“…On the other hand, UAVs are also being proposed as aerial user equipment (known as cellular-connected UAVs) [ 7 , 15 ]. Cellular-connected UAVs make use of existing cellular infrastructures and should co-exist with existing ground-based user terminals (i.e., normal users of the cellular network).…”

Section: Related Work and Backgroundmentioning

confidence: 99%

Cellular and Virtualization Technologies for UAVs: An Experimental Perspective

Sanchez-Aguero

González

Valera

et al. 2021

Sensors

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“…Through the application of ConClone , it is possible to reduce the failure rate or to quickly recover the connection in this real scenario. In addition, several studies have been proposed in [ 49 , 50 ] in terms of routing paths and physical links to ensure strong connectivity in A2G and A2A. At the transport level, the proposed ConClone can be effectively applied with little or no dependency between link and routing, and can construct robust UAV connections.…”

Section: Discussionmentioning

confidence: 99%

An MPTCP-Based Transmission Scheme for Improving the Control Stability of Unmanned Aerial Vehicles

Lee

Joo

et al. 2021

Sensors

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Recently, unmanned aerial vehicles (UAVs) have been applied to various applications. In order to perform repetitive and accurate tasks with a UAV, it is more efficient for the operator to perform the tasks through an integrated management program rather than controlling the UAVs one by one through a controller. In this environment, control packets must be reliably delivered to the UAV to perform missions stably. However, wireless communication is at risk of packet loss or packet delay. Typical network communications can respond to situations in which packets are lost by retransmitting lost packets. However, in the case of UAV control, delay due to retransmission is fatal, so control packet loss and delay should not occur. As UAVs move quickly, there is a high risk of accidents if control packets are lost or delayed. In order to stably control a UAV by transmitting control messages, we propose a control packet transmission scheme, ConClone. ConClone replicates control packets and then transmits them over multiple network connections to increase the probability of successful control packet transmission. We implemented ConClone using real equipment, and we verified its performance through experiments and theoretical analysis.

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“…Nev-ertheless, it is more efficient than the OMA because it provides high spectral efficiency and lower latency. NOMA is widely used in U-MEC networks because of high spectrum utilization compared with OMA [58].…”

Section: A Multiple Access Schemesmentioning

confidence: 99%

Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices: A Review

Abrar

Ajmal

Almohaimeed³

et al. 2021

IEEE Access

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With the emergence of computation-intensive and delay-sensitive applications, such as face recognition, virtual reality, augmented reality, and Internet of Things (IoT) devices ; Mobile Edge Computing (MEC) allows the IoT devices to offload their heavy computation tasks to nearby edge cloud network rather than to compute the tasks locally. Therefore, it helps to reduce the energy consumption and execution delay in the ground mobile users. Flying Unmanned Aerial Vehicles (UAVs) integrated with the MEC server play a key role in 5G and future wireless communication networks to provide spatial coverage and further computational services to the small, battery-powered and energy-constrained devices. The UAVenabled MEC (U-MEC) system has flexible mobility and more computational capability compared to the terrestrial MEC network. They support line-of-sight (LoS) links with the users offloading their tasks to the UAVs. Hence, users can transmit more data without interference by mitigating small-scale fading and shadowing effects. UAVs resources and flight time are very limited due to size, weight, and power (SWaP) constraints. Therefore, energy-aware communication and computation resources are allocated in order to minimize energy consumption.In this paper, a brief survey on U-MEC networks is presented. It includes the brief introduction regarding UAVs and MEC technology. The basic terminologies and architectures used in U-MEC networks are also defined. Moreover, mobile edge computation offloading working, different access schemes used during computation offloading technique are explained. Resources that are needed to be optimized in U-MEC systems are depicted with different optimization problem, and solution types. Furthermore, to guide future work in this area of research, future research directions are outlined. At the end, challenges and open issues in this domain are also summarized.

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A survey on cellular-connected UAVs: Design challenges, enabling 5G/B5G innovations, and experimental advancements

Cited by 113 publications

References 110 publications

Cellular and Virtualization Technologies for UAVs: An Experimental Perspective

Cellular and Virtualization Technologies for UAVs: An Experimental Perspective

An MPTCP-Based Transmission Scheme for Improving the Control Stability of Unmanned Aerial Vehicles

Energy Efficient UAV-Enabled Mobile Edge Computing for IoT Devices: A Review

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