Multi-UAV Path Planning for Mobile Edge Computing With High-Density Mobile Devices

This publication has 33 references indexed in Scilit:

• Convergence of MEC and DRL in Non-Terrestrial Wireless Networks: Key Innovations, Challenges, and Future Pathways
  IEEE Communications Surveys & Tutorials, 2025
• Performance enhancement of UAV-enabled MEC systems through intelligent task offloading and resource allocation
  Computer Networks, 2025
• Fundamental design aspects of UAV-enabled MEC systems: A review on models, challenges, and future opportunities
  Computer Science Review, 2024
• A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities
  IEEE Communications Surveys & Tutorials, 2020
• Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
  2020
• Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
  IEEE Communications Surveys & Tutorials, 2019
• A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
  IEEE Communications Surveys & Tutorials, 2019
• Survey on Multi-Access Edge Computing for Internet of Things Realization
  IEEE Communications Surveys & Tutorials, 2018
• A Survey on Mobile Edge Computing: The Communication Perspective
  IEEE Communications Surveys & Tutorials, 2017
• Hybrid computing using a neural network with dynamic external memory
  Nature, 2016