Towards enabling unmanned aerial vehicles as a service for heterogeneous applications

Naït‐Abdesselam, Farid; Alsharoa, Ahmad; Selim, Mohamed Y.; Qiao, Daji; Kamal, Ahmed E.

doi:10.23919/jcn.2021.000015

Cited by 12 publications

(4 citation statements)

References 29 publications

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“…To achieve this, battery swapping or recharge through electrical contact or contactless can be automated or humanoperated [6]. Whereas charging stations are suggested to be static, semi-static or even mobile (large UAVs equipped with large batteries) [7], wireless recharging includes the use of power lasers whose beam conveys energy to a flying UAV, hovering at height in a safe location [6] or more simply by resonant coupling using planar circular coils [8], [9]. In such a kind of wireless power transfer (WPT), coils alignment is crucial for efficient energy transfer.…”

Section: Related Workmentioning

confidence: 99%

Ground Support for Drone-based Industrial Inspections

Celentano

Kauppinen

Röning

2021

2021 Aerial Robotic Systems Physically Interacting With the Environment (AIRPHARO)

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Unmanned aerial vehicles (UAV) can help in improving safety and decreasing costs in the inspection of industrial plants such as oil and gas pipings. UAV-based inspection brings endurance requirements and safety constraints to the inspection system as a whole. This article focuses on the ground support segment of the HYFLIERS inspection systems and more particularly it looks at effectively and efficiently supporting the inspection data flow and at competent and safe power supply.

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Section: Related Workmentioning

confidence: 99%

Ground Support for Drone-based Industrial Inspections

Celentano

Kauppinen

Röning

2021

2021 Aerial Robotic Systems Physically Interacting With the Environment (AIRPHARO)

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“…Unmanned aerial vehicles (UAVs) are attracting attention as a key element of new radio (NR) systems because of their high-altitude and mobility characteristics, specifically because they can exceed the limits of terrestrial networks. UAVs are also being used in diverse environments such as commodity delivery, natural disaster monitoring, and remote-control platforms because of their flexibility and mobility [1][2][3]. Additionally, UAVs can facilitate communication between aviation and ground networks.…”

Section: Introductionmentioning

confidence: 99%

Beam Selection Algorithm Utilizing Fingerprint DB Based on User Types in UAV Support Systems

2023

KSII TIIS

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The high-altitude and mobility characteristics of unmanned aerial vehicles (UAVs) have made them a key element of new radio systems, particularly because they can exceed the limits of terrestrial networks. However, at high altitudes, UAVs can be significantly affected by intercell interference at a high line-of-sight probability. To mitigate this drawback, we propose an algorithm that selects the optimal beam to reduce interference and maximize transmission efficiency. The proposed algorithm comprises two steps: constructing a user-location-based fingerprint database according to the user types presented herein and cooperative beam selection. Simulations were conducted using cellular cooperative downlink systems for analyzing the performance of the proposed method, and the signal-to-interference-plus-noise cumulative distribution function and spectral efficiency cumulative distribution function were used as performance analysis indicators. Simulation results showed that the proposed algorithm could reduce the effect of interference and increase the performance of the desired signal. Moreover, the algorithm could efficiently reduce overheads and system cost by reducing the amount of resources required for information exchange.

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“…Unmanned aerial vehicles (UAVs) play an important role in many scenarios in real life, such as post-disaster rescue, emergency communication, cargo transportation and aerial photography. Due to some characteristics of UAVs, such as low cost, rapid deployment, wide coverage and high mobility [1]. In addition, the application of UAVs in wireless communication networks is also very extensive.…”

Section: Introductionmentioning

confidence: 99%

RIS‐assisted secure UAV communications with resource allocation and cooperative jamming

Guo

Chen

et al. 2022

IET Communications

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Unmanned aerial vehicles (UAVs) are widely used in wireless communication networks due to their rapid deployment and high mobility. However, in practical scenarios, the existence of obstacles and eavesdroppers will seriously interfere with the communication quality of the UAV network and produce a security risk. Thus, this paper combines reconfigurable intelligent surface (RIS) technology with UAVs to build a secure UAV communication network. Normally, a rotary-wing UAV (labeled as UAV-S) acting as a base station sends information signals to a legitimate user on the ground with RIS equipment. However, there is a passive eavesdropper on the ground who can steal the information. Therefore, a friendly UAV jammer (labeled as UAV-J) with a fixed location is introduced to send jamming signals to confuse the eavesdropper. The goal of this paper is to maximize the average secrecy rate of the communication network by jointly optimizing the flight trajectory, transmit power of the UAV-S and UAV-J, and phase shifter of the RIS. Since the constructed problem is highly nonconvex, an alternating optimization algorithm based on successive convex approximation techniques is proposed to solve the problem. Simulation results show that the proposed algorithm can achieve a higher secrecy rate in comparison with other schemes.

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Towards enabling unmanned aerial vehicles as a service for heterogeneous applications

Abstract: Article that has been accepted for inclusion in a future issue of a journal. Content is final as presented, with the exception of pagination.

Cited by 12 publications

References 29 publications

Ground Support for Drone-based Industrial Inspections

Ground Support for Drone-based Industrial Inspections

Beam Selection Algorithm Utilizing Fingerprint DB Based on User Types in UAV Support Systems

RIS‐assisted secure UAV communications with resource allocation and cooperative jamming

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