When UAVs Meet Cognitive Radio: Offloading Traffic Under Uncertain Spectrum Environment via Deep Reinforcement Learning

The emerging Internet of Things (IoT) paradigm makes our telecommunications networks increasingly congested. Unmanned aerial vehicles (UAVs) have been regarded as a promising solution to offload the overwhelming traffic. Considering the limited spectrums, cognitive radio can be embedded into UAVs to...

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Veröffentlicht in:	IEEE transactions on wireless communications 2023-02, Vol.22 (2), p.824-838
Hauptverfasser:	Li, Xuanheng, Cheng, Sike, Ding, Haichuan, Pan, Miao, Zhao, Nan
Format:	Artikel
Sprache:	eng
Schlagworte:	Co-design Cognitive radio Data collection Data communication Data transmission Deep learning deep reinforcement learning energy efficiency Idling Internet of Things Machine learning Power control Replenishment Resource management Sensors traffic offloading Trajectory UAV-assisted network Unmanned aerial vehicles Wireless communication Wireless sensor networks
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