UAV-Assisted MEC System Considering UAV Trajectory and Task Offloading Strategy
Author:
Affiliation:
1. College of Electronics and Information Engineering, Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration,China,518060
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279045.pdf?arnumber=10279045
Reference7 articles.
1. Trajectory Optimization and Computing Offloading Strategy in UAV-Assisted MEC System
2. Computation Efficiency Maximization and QoE-Provisioning in UAV-Enabled MEC Communication Systems
3. Resource Allocation and Trajectory Design for MISO UAV-Assisted MEC Networks
4. UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning
5. A DRL Agent for Jointly Optimizing Computation Offloading and Resource Allocation in MEC
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1. Computational offloading into UAV swarm networks: a systematic literature review;EURASIP Journal on Wireless Communications and Networking;2024-09-07
2. Network Slicing-Assisted Task Transmission and Offloading Based on H-NOMA UAV Communication;Proceedings of the 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking;2024-07-26
3. Two-Tier Efficient QoE Optimization for Partitioning and Resource Allocation in UAV-Assisted MEC;Sensors;2024-07-16
4. A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading;IEEE Access;2024
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