Flying Drone Base Stations for Macro Hotspots

Fotouhi, Azade; Ding, Ming; Hassan, Mahbub

doi:10.1109/access.2018.2817799

Cited by 110 publications

(67 citation statements)

References 18 publications

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“…Some researchers take flying trajectories of drones into account . In a number of papers, each user receives particular time slots to exchange information with the drone (so‐called time‐division multiple access (TDMA)).…”

Section: Planning Drone Operationsmentioning

confidence: 99%

“…Jeong et al schedule data computation by a drone serving as a cloudlet as well as data transmission between the cloudlet and a mobile device to minimize the total energy expenditure of the drone given its fixed trajectory. The case of moving mobile user nodes is analyzed in Fotouhi et al and Jiang and Swindlehurst . Zeng and Zhang point out the importance of considering the propulsion energy spent on flight or hovering as it is usually several times greater than the energy spent on communication.…”

Section: Planning Drone Operationsmentioning

confidence: 99%

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Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Planning Drone Operationsmentioning

confidence: 99%

Section: Planning Drone Operationsmentioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…Our UAV charging architecture is shown in Figure 1, which is used for charging a number of cruising UAVs that fly back and forth with a linear trajectory over a square area of side length l. The trajectories of the cruising UAVs can be of any form, e.g., of geometric form (circular, linear), or can be of other forms, as shown in [1], [4]. In our work, we have assumed a linear trajectory for the cruising UAVs.…”

Section: Uav Recharging Architecture: System Modelmentioning

confidence: 99%

“…Recent advances in miniaturization, robotics, sensor technology and communications have revolutionized Unmanned Aerial Vehicles (UAVs) and brought about their adoption in a wide range of applications. One such application is the use of UAVs carrying base station equipment acting as aerial base stations that can dynamically re-position themselves to improve coverage and capacity demands of existing networks [1]- [7]. Such aerial base stations could supplement terrestrial infrastructure when it is overloaded or unavailable, as presented in the context of 5G networks in [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Recharging of Flying Base Stations using Airborne RF Energy Sources

Hassan

Bokani

Kanhere

2019

2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW)

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This paper presents a new method for recharging flying base stations, carried by Unmanned Aerial Vehicles (UAVs), using wireless power transfer from dedicated, airborne, Radio Frequency (RF) energy sources. In particular, we study a system in which UAVs receive wireless power without being disrupted from their regular trajectory. The optimal placement of the energy sources are studied so as to maximize received power from the energy sources by the receiver UAVs flying with a linear trajectory over a square area. We find that for our studied scenario of two UAVs, if an even number of energy sources are used, placing them in the optimal locations maximizes the total received power, while achieving fairness among the UAVs. However, in the case of using an odd number of energy sources, we can either maximize the total received power, or achieve fairness, but not both at the same time. Numerical results show that placing the energy sources at the suggested optimal locations results in significant power gain compared to nonoptimal placements.

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“…Major vendors have already field-trialled their prototypes to demonstrate the proofof-concept of such UAV-mounted flying BSs [3], [4]. A large number of papers have been published in recent years proposing novel algorithms to optimize positioning and mobility of flying relays and BSs [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

Fotouhi

Qiang

Ding

et al. 2019

IEEE Commun. Surv. Tutorials

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820

485

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The rapid growth of consumer Unmanned Aerial Vehicles (UAVs) is creating promising new business opportunities for cellular operators. On the one hand, UAVs can be connected to cellular networks as new types of user equipment, therefore generating significant revenues for the operators that can guarantee their stringent service requirements. On the other hand, UAVs offer the unprecedented opportunity to realize UAVmounted flying base stations that can dynamically reposition themselves to boost coverage, spectral efficiency, and user quality of experience. Indeed, the standardization bodies are currently exploring possibilities for serving commercial UAVs with cellular networks. Industries are beginning to trial early prototypes of flying base stations or user equipments, while academia is in full swing researching mathematical and algorithmic solutions to address interesting new problems arising from flying nodes in cellular networks. In this article, we provide a comprehensive survey of all of these developments promoting smooth integration of UAVs into cellular networks. Specifically, we survey (i) the types of consumer UAVs currently available off-the-shelf, (ii) the interference issues and potential solutions addressed by standardization bodies for serving aerial users with the existing terrestrial base stations, (iii) the challenges and opportunities for assisting cellular communications with UAV-based flying relays and base stations, (iv) the ongoing prototyping and test bed activities, (v) the new regulations being developed to manage the commercial use of UAVs, and (vi) the cyber-physical security of UAV-assisted cellular communications.

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Flying Drone Base Stations for Macro Hotspots

Cited by 110 publications

References 18 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Recharging of Flying Base Stations using Airborne RF Energy Sources

Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges

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