UAV-Assisted Time Division Power Allocation Strategy Based on RF Energy Harvesting

Liu, Zhichao; Zhao, Yi; Peng, Fang; Gao, Jincheng; Chen, Zhonghui

doi:10.1109/vtc2020-spring48590.2020.9129235

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…In reference [17], researchers proposed a wireless communication system that uses UAV-powered energy harvesting to improve network connectivity and transfer energy during a natural disaster. Furthermore, in reference [18], RF energy harvesting-based power allocation systems were proposed. Researchers investigated a UAV equipped with a pico base station scenario, which might minimize network congestion and traffic overload while enhancing wireless coverage.…”

Section: Related Workmentioning

confidence: 99%

Employing an Energy Harvesting Strategy to Enhance the Performance of a Wireless Emergency Network

Elshrkasi

Dimyati

Ahmad

et al. 2022

Sensors

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Establishing a wireless communication network (WCN) is critical to saving people’s lives during disasters. Since the user equipment (UE) must transfer their information to the functioning area, their batteries will be significantly drained. Thus, technologies that can compensate for battery power consumption, such as the energy harvesting (EH) strategy, are highly required. This paper proposes a framework that employs EH at the main cluster head (MCH) selected by the enhanced clustering technique (CFT) and simultaneously transmits information and power wirelessly to prolong the lifetime of the energy-constrained network. MCH harvests energy from the radio frequency signal via the relay station (RS) and uses the harvested energy for D2D communications. The suggested framework was evaluated by analyzing the EH outage probability and estimating the energy efficiency performance, which is expected to improve the stability of the network. Compared to the UAV scenario, the simulation findings show that when RS is in its optimal location, it enhances the network EH outage probability performance by 26.3%. Finally, integrating CFT with wireless communications links into cellular networks is an effective technique for maintaining communication services for mission-critical applications.

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Section: Related Workmentioning

confidence: 99%

Employing an Energy Harvesting Strategy to Enhance the Performance of a Wireless Emergency Network

Elshrkasi

Dimyati

Ahmad

et al. 2022

Sensors

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show abstract

“…Efficient resource distribution is critical to improve the channel link quality and thus maximize the downlink coverage services. The strategies of power allocation based on RF energy harvesting were investigated in [25], in which a UAV carries a pico-base station to increase wireless coverage and reduce network congestion and traffic overload. They adopted several clustering approaches in wireless networks to tackle the energy harvesting issues, catering to the power supply limitation.…”

Section: Related Workmentioning

confidence: 99%

“…Additionally, CMs can decide to communicate with the optimal CH based on the residual energy, maximum EH and neighbor nodes. In this case, D2D pair communications and outage capacity inside the cluster are calculated based on (24) and (25). The computational complexity for those analyses is found to be O(t * N CM k ).…”

Section: E Computational Complexity Analysismentioning

confidence: 99%

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An Efficient Energy Harvesting and Optimal Clustering Technique for Sustainable Postdisaster Emergency Communication Systems

et al. 2021

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The energy consumption and coverage range of unmanned aerial vehicles (UAVs) are major challenges in UAV-based postdisaster communications. To address these challenges, energy harvesting is employed to power communication devices and prolong the lifetime of the wireless communication network during a disaster. In addition, clustering techniques and device-to-device (D2D) communication are needed to increase the overall network coverage and provide sustainable connectivity during the disaster and postdisaster phases. We have proposed a novel emergency communication system (ECS) using the optimal cluster head (CH) technique to improve the energy transfer efficiency for sustainable network connectivity. We have developed a UAV deployment model assisted by the clustering technique and D2D links that is capable of harvesting energy to increase the network lifetime. This new approach is expected to enhance the reliability of the network in disaster situations. The proposed methods have been evaluated by measuring the energy efficiency performance and the network outage probability. The simulation results demonstrate improved performance with the deployment of optimal CHs, while the outage probability has been effectively reduced. Moreover, the proposed approach has been proven to reduce the computational complexity. In conclusion, UAV deployment with the optimal CH algorithm is a suitable network design to recover from natural disasters and potentially save many lives.INDEX TERMS UAVs, energy harvesting, cluster heads, D2D communication, 5G.

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A contract-based energy harvesting mechanism in UAV communication network

Qiu

Huang

Chen

et al. 2023

Computer Communications

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UAV-Assisted Time Division Power Allocation Strategy Based on RF Energy Harvesting

Cited by 5 publications

References 10 publications

Employing an Energy Harvesting Strategy to Enhance the Performance of a Wireless Emergency Network

Employing an Energy Harvesting Strategy to Enhance the Performance of a Wireless Emergency Network

An Efficient Energy Harvesting and Optimal Clustering Technique for Sustainable Postdisaster Emergency Communication Systems

A contract-based energy harvesting mechanism in UAV communication network

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