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    Drone Charging Stations Deployment in Rural Areas for Better Wireless Coverage: Challenges and Solutions

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    Report4_magazine.pdf
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    Type
    Article
    Authors
    Qin, Yujie cc
    Kishk, Mustafa Abdelsalam cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Date
    2022-05-11
    Permanent link to this record
    http://hdl.handle.net/10754/676858
    
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    Abstract
    While fifth-generation (5G) cellular is meant to deliver gigabit peak data speeds, low latency, and connection to billions of devices, and 6G is already on the way, half of the world population living in rural areas are still facing challenges connecting to the internet. Compared to urban areas, users in rural areas are greatly impacted by low income, high cost of backhaul connectivity, limited resources, extreme weather, and natural geographical limitations. Therefore, how to connect the rural areas and the difficulties of providing connectivity draw great attention. This article first provides a brief discussion about existing technologies and strategies for enhancing the network coverage in rural areas, and their advantages, limitations, and cost. Next, we mainly focus on the UAV-assisted network in resource-limited regions. Considering the limitation of the onboard battery of UAVs and the electricity supply scarcity in some rural regions, we investigate the possibility and performance enhancement of the deployment of renewable energy (RE) charging stations. We outline three practical scenarios, and use simulation results to demonstrate that RE charging stations can be a possible solution to address the limited onboard battery of UAVs in rural areas, especially when they can harvest and store enough energy. Finally, future works and challenges are discussed.
    Citation
    Qin, Y., Kishk, M. A., & Alouini, M.-S. (2022). Drone Charging Stations Deployment in Rural Areas for Better Wireless Coverage: Challenges and Solutions. IEEE Internet of Things Magazine, 5(1), 148–153. https://doi.org/10.1109/iotm.001.2100083
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Internet of Things Magazine
    DOI
    10.1109/iotm.001.2100083
    arXiv
    2110.01459
    Additional Links
    https://ieeexplore.ieee.org/document/9773146/
    ae974a485f413a2113503eed53cd6c53
    10.1109/iotm.001.2100083
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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