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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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high altitude platform stations

KAUST-CEMSE-ECE-Phd-dissertation-defense-Zhengying-Lou

Performance Analysis for High Altitude Platform Station-Assisted Wireless Communication Networks

Zhengying Lou, Ph.D. Student, Electrical and Computer Engineering
Nov 2, 16:00 - 17:30

B1, L3, R3123

high altitude platform stations Non-Terrestrial Networks wireless communication networks

High altitude platform stations (HAPS) have recently emerged as a pivotal stratospheric segment within the broader non-terrestrial network (NTN) ecosystem, offering a promising solution for enhancing coverage, reliability, and efficiency in next-generation wireless networks. This thesis presents a comprehensive investigation into the architecture, performance, and integration of HAPS-assisted wireless communication networks from multiple perspectives.

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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