A Review on UAV-Assisted Resource Allocation
Author:
Affiliation:
1. School of Computer Science and Engineering, Chung-Ang University,Seoul,South Korea,06974
2. Sejong University,Department of Computer Science and Engineering,Seoul,South Korea,05006
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624687/10624749/10624928.pdf?arnumber=10624928
Reference11 articles.
1. A DDPG-based energy efficient federated learning algorithm with SWIPT and MC-NOMA
2. Competitive Game Theoretic Clustering-Based Multiple UAV-Assisted NB-IoT Systems;Lee;Electronics,2021
3. Sparse CNN and Deep Reinforcement Learning-Based D2D Scheduling in UAV-Assisted Industrial IoT Networks;Tuong;IEEE Transactions on Industrial Informatics,2024
4. Intelligent Heterogeneous Aerial Edge Computing for Advanced 5G Access;Nguyen;IEEE Transactions on Network Science and Engineering,2024
5. Dynamic Resource Allocation in UAV-Enabled mmWave Communication Networks;Kumar;IEEE Internet of Things Journal,2021
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