Energy-Efficient Trajectory Planning With Joint Device Selection and Power Splitting for mmWaves-Enabled UAV-NOMA Networks
This paper proposes two energy-efficient reinforcement learning (RL)-based algorithms for millimeter wave (mmWave)-enabled unmanned aerial vehicle (UAV) communications toward beyond-5G (B5G). This can be especially useful in ad-hoc communication scenarios within a neighborhood with main-network conn...
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2024-01-01
|
| Serie: | IEEE Transactions on Machine Learning in Communications and Networking |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/10517756/ |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|