Flying IRS: QoE-Driven Trajectory Optimization and Resource Allocation Based on Adaptive Deployment for WPCNs in 6G IoT
Author:
Affiliation:
1. School of Artificial Intelligence, Henan University, Zhengzhou, China
2. Department of Electrical and Computer Engineering, Queen’s University, Kingston, ON, Canada
Funder
National Natural Science Foundation of China
The Program for Science & Technology Development of Henan Province
Young Elite Scientist Sponsorship Program by Henan Association for Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/6702522/10272692.pdf?arnumber=10272692
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