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dc.contributor.advisorAlouini, Mohamed-Slim
dc.contributor.authorTsai, Ming-Cheng
dc.date.accessioned2020-04-26T10:37:54Z
dc.date.available2020-04-26T10:37:54Z
dc.date.issued2020-04
dc.identifier.citationTsai, M.-C. (2020). High Altitude Platform Networks (HAPNETs): Design, Deployment, and Resource Management. KAUST Research Repository. https://doi.org/10.25781/KAUST-I5451
dc.identifier.doi10.25781/KAUST-I5451
dc.identifier.urihttp://hdl.handle.net/10754/662637
dc.description.abstractIn 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.
dc.language.isoen
dc.subjectHigh Altitude Platform
dc.subjectNOMA
dc.subjectBackhaul
dc.subjectAccess
dc.subjectPSO
dc.titleHigh Altitude Platform Networks (HAPNETs): Design, Deployment, and Resource Management
dc.typeThesis
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.rights.embargodate2021-04-25
thesis.degree.grantorKing Abdullah University of Science and Technology
dc.contributor.committeememberShihada, Basem
dc.contributor.committeememberPark, Kihong
thesis.degree.disciplineElectrical Engineering
thesis.degree.nameMaster of Science
dc.rights.accessrightsAt 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.
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