Search Results for author: Atefeh H. Arani

Found 2 papers, 0 papers with code

HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach

no code implementations22 Mar 2023 Atefeh H. Arani, Peng Hu, Yeying Zhu

The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential elements in the space-air-ground integrated networks (SAGINs).

Fairness reinforcement-learning

UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms

no code implementations27 Nov 2022 Atefeh H. Arani, Peng Hu, Yeying Zhu

However, due to UAVs' high dynamics and complexity, the real-world deployment of a SAGIN becomes a major barrier for realizing such SAGINs.

Fairness Q-Learning

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