Multi-IRS and Multi-UAV-Assisted MEC System for 5G/6G Networks: Efficient Joint Trajectory Optimization and Passive Beamforming Framework
Author:
Affiliation:
1. School of Computer Science and Engineering, Central South University, Changsha, China
2. EIAS Data Science Laboratory, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
Funder
EIAS Data Science Lab, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10086684/09804341.pdf?arnumber=9804341
Reference47 articles.
1. Energy Consumption Minimization in UAV-Assisted Mobile-Edge Computing Systems: Joint Resource Allocation and Trajectory Design
2. Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
3. An evolutionary trajectory planning algorithm for multi-UAV-assisted MEC system
4. Joint Trajectory Design and Resource Allocation for IRS-Assisted UAV Communications with Wireless Energy Harvesting
5. Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
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