Trajectory Planning for UAVs Equipped With RISs to Provide Aerial LoS Service for Mobile Nodes in 5G/Optical Wireless Communication Networks
Author:
Affiliation:
1. The School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia
Funder
Australian Research Council
Australian Government
ONR MURI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10155543/10041725.pdf?arnumber=10041725
Reference14 articles.
1. Three-Dimensional Trajectory Optimization for Energy-Constrained UAV-Enabled IoT System in Probabilistic LoS Channel
2. 3D Placement and Orientation of mmWave-Based UAVs for Guaranteed LoS Coverage
3. Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks
4. Optimal Path Planning Using Generalized Voronoi Graph and Multiple Potential Functions
5. Efficient Trajectory Planning for Multiple Non-Holonomic Mobile Robots via Prioritized Trajectory Optimization
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1. Navigation and Deployment of Solar-Powered Unmanned Aerial Vehicles for Civilian Applications: A Comprehensive Review;Drones;2024-01-31
2. SLAPS: Simultaneous Localization and Phase Shift for a RIS-Equipped UAV in 5G/6G Wireless Communication Networks;IEEE Transactions on Intelligent Vehicles;2023-12
3. AI-based Navigation and Communication Control for a Team of UAVs with Reconfigurable Intelligent Surfaces Supporting Mobile Internet of Vehicles;2023 IEEE Conference on Control Technology and Applications (CCTA);2023-08-16
4. Deployment of mmWave multi-UAV mounted RISs using budget constraint Thompson sampling with collision avoidance;ICT Express;2023-08
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