An Optimized Deep Learning Framework for Energy-Efficient Resource Allocation in UAV-Assisted Wireless Networks

Unmanned aerial vehicles (UAVs) play a crucial role in resource management and offer advantages in fifth-generation (5G) and beyond networks, such as enhanced coverage, on-demand deployment, and flexible connectivity for managing data traffic spikes. However, limited power supply restricts operation...

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Hlavní autoři:	Yanan Tian, Adil Khan, Shabeer Ahmad, Syed Agha Hassnain Mohsan, Faten Khalid Karim, Babar Hayat, Samih M. Mostafa
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Access
Témata:	UAVs optimization deep learning energy efficiency resource allocation wireless networks
On-line přístup:	https://ieeexplore.ieee.org/document/10906590/
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