Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction

@article{Abuzainab2021DeepLF,
  title={Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction},
  author={Nof Abuzainab and Muhammad Alrabeiah and Ahmed Alkhateeb and Yalin Evren Sagduyu},
  journal={2021 IEEE International Conference on Communications Workshops (ICC Workshops)},
  year={2021},
  pages={1-6}
}
We consider the problem of proactive handoff and beam selection in Terahertz (THz) drone communication networks assisted with reconfigurable intelligent surfaces (RISs). Drones have emerged as critical assets for next-generation wireless networks to provide seamless connectivity and extend the coverage, and can largely benefit from operating in the THz band to achieve high data rates (such as considered for 6G). However, THz communications are highly susceptible to channel impairments and… 

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