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    High Altitude Platform Networks (HAPNETs): Design, Deployment, and Resource Management

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    Name:
    Thesis Mingcheng Tsai.pdf
    Size:
    1.790Mb
    Format:
    PDF
    Description:
    Final Thesis
    Embargo End Date:
    2021-04-25
    Download
    Type
    Thesis
    Authors
    Tsai, Ming-Cheng cc
    Advisors
    Alouini, Mohamed-Slim cc
    Committee members
    Shihada, Basem cc
    Park, Kihong cc
    Program
    Electrical Engineering
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2020-04
    Embargo End Date
    2021-04-25
    Permanent link to this record
    http://hdl.handle.net/10754/662637
    
    Metadata
    Show full item record
    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 2021-04-25.
    Abstract
    In this thesis, we consider maximized power allocation of non-orthogonal multiple ac- cess (NOMA) schemes since it outperforms than orthogonal multiple access (OMA) for the high altitude platform networks (HAPNETs) both in the back- haul and access links. Secondly, we propose a cluster formation (CF) algorithm and power-bandwidth resource allocation (PB-RA) for solving the resource management of HAPNETs. We adopt the particle swarm optimization (PSO) algorithm to explore the optimal de- ployment of high altitude platforms (HAPs) and unmanned aerial vehicles (UAVs) iteratively by a given swarm size. By PSO, we provide the best deployment under a given iteration number. Besides that, numerical results show that the NOMA schemes have better performance than OMA ones concerning different network control factors like the number of BSs, HAPs, and UAVs.
    Citation
    Tsai, M.-C. (2020). High Altitude Platform Networks (HAPNETs): Design, Deployment, and Resource Management. KAUST Research Repository. https://doi.org/10.25781/KAUST-I5451
    DOI
    10.25781/KAUST-I5451
    ae974a485f413a2113503eed53cd6c53
    10.25781/KAUST-I5451
    Scopus Count
    Collections
    Theses; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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