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    Coverage and Energy Analysis of T-UAV-Assisted Cellular Networks: Stochastic Geometry Approach.

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    Thesis1.pdf
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    2.948Mb
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    Description:
    MS Thesis
    Embargo End Date:
    2024-03-06
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    Type
    Thesis
    Authors
    Khemiri, Safa cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee members
    Eltawil, Ahmed cc
    Moraga, Paula cc
    Program
    Electrical and Computer Engineering
    KAUST Department
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Date
    2023-02
    Embargo End Date
    2024-03-06
    Permanent link to this record
    http://hdl.handle.net/10754/690127
    
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    Access Restrictions
    At the time of archiving, the student author of this thesis opted to temporarily restrict access to it. The full text of this thesis will become available to the public after the expiration of the embargo on 2024-03-06.
    Abstract
    An unmanned aerial vehicle-mounted base station (UAV-BS), also known as an aerial base station (ABS), is a viable technology for the next 6G wireless networks due to its adaptability and affordability. Furthermore, the concept of tethered UAVs (T-UAVs), can be used to circumvent the limited network operating time of UAV-BS networks. T-UAVs are UAVs powered by a ground energy source via a tether that restrain their mobility while providing unlimited power. In this thesis, we propose systems where ABSs are deployed in user hotspots to offload the traffic and assist terrestrial base stations (TBSs). First, we propose three different scenarios based on a model of cluster pairs. We start by determining the optimal locations of T-UAVs that minimize the average pathloss for each scenario. Next, using tools from stochastic geometry and an approach of dividing the space into concentric rings and slices to quantify the locations and orientations of GSs, we analyse both coverage and energy performance for each scenario and compare their performances. We use Monte-Carlo simulations to validate our findings and provide several useful insights. For instance, we show that deploying for each pair of clusters a T-UAV that can be attached and detached from the GS is the best strategy to adopt in terms of both coverage and energy efficiency. Second, we propose a hybrid system composed of tethered and untethered UAVs (T/U-UAVs). We study the coverage performance as a function of some system parameters such as the fraction of T-UAVs that have been used, the U-UAV availability, and the radius of clusters, and we provide useful insights.
    Citation
    Khemiri, S. (2023). Coverage and Energy Analysis of T-UAV-Assisted Cellular Networks: Stochastic Geometry Approach. [KAUST Research Repository]. https://doi.org/10.25781/KAUST-V4VQ9
    DOI
    10.25781/KAUST-V4VQ9
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-V4VQ9
    Scopus Count
    Collections
    MS Theses; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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