Energy Harvesting Schemes for UAV based Communications

Ali, Ali; Hasna, Mazen O.

doi:10.1109/ccnc.2019.8651812

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…A typical UAV's limited flight time is due to its insufficient battery capacity and payload capability, which is still a major barrier to their use in a wide range of applications in 6G wireless networks. The use of energy harvesting technologies to charge UAVs can overcome this problem [151], [152]. Solar-cell technology has recently improved to the point that the energy sources are now efficient enough to consider adding weight to a UAV.…”

Section: G Energy Harvesting Technologiesmentioning

confidence: 99%

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

Khan

Kumar

Mohsan

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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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.

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Section: G Energy Harvesting Technologiesmentioning

confidence: 99%

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

Khan

Kumar

Mohsan

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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“…To realize power-efficient and Eco-friendly communication systems, different layers of wireless networks need to be developed. To provide green communications, Energy Harvesting (EH) schemes should be employed, such as radio frequency (RF) EH, thermal EH, and solar EH [1], [2]. Solar cells and antenna integration has been discussed in the literature [3] to obtain a trade-off between the maximum generated power and the best antenna performance.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Reconfigurable Intelligent Surface based on Highly-Efficient Solar Cells

Tishchenko

Ali

Araghi

et al. 2023

2023 17th European Conference on Antennas and Propagation (EuCAP)

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The power consumption of reconfigurable intelligent surfaces (RIS) has not been addressed enough in the state-of-theart. This paper proposes a paradigm for converting RISs into ecofriendly structures that generate their needed power by the highefficiency multiple junctions (MJ) solar cells. This work considers the impact of adding solar cells to the RIS and investigates the amount of generated power. Moreover, the inclination angle of the solar irradiance is considered as well as the needed batteries and converters. Since the introduced RIS can be a potential candidate for the 5G-and-beyond-communications, two ranges of frequencies will be discussed in this work: sub-6GHz and 5G Millimeter wave (mmWave).

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“…When the drone is located within the ground antenna’s range, it gathers energy and recharges its batteries. A similar solution was used in [ 13 ], where the authors proposed UAVs to be used as base stations to cover certain areas of interest where the signal from a traditional base station cannot reach. The trade-off between the size of the service area and in-flight charging power was discussed.…”

Section: Introductionmentioning

confidence: 99%

Selection of Solar Powered Unmanned Aerial Vehicles for a Long Range Data Acquisition Chain

Woźniak

Jessa

2021

Sensors

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The paper presents a long range data acquisition chain operating in areas without access to the electricity grid or communication infrastructure built with unmanned aerial vehicles (UAVs). It is assumed that the length of the network chain significantly exceeds the flight range of a single drone. To build such a network three basic problems have to be solved. The first is energy harvesting for battery charging. The second concerns the choice of drone models that can cover a given distance in the shortest time. The third problem is the reduction of the flight range of drones as a function of payload mass. The evaluation of the proposed method is based on the results of simulations and cost analysis of 54 drones and 25 solar cells. The analysis ends with a proposition of seven steps that can help to choose the most suitable drone model for a given task.

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Energy Harvesting Schemes for UAV based Communications

Cited by 10 publications

References 4 publications

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

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

Autonomous Reconfigurable Intelligent Surface based on Highly-Efficient Solar Cells

Selection of Solar Powered Unmanned Aerial Vehicles for a Long Range Data Acquisition Chain

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