Managing Sets of Flying Base Stations Using Energy Efficient 3D Trajectory Planning in Cellular Networks
Author:
Affiliation:
1. Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2. Department of Systems and Computer Engineering, Non-Terrestrial Networks (NTN) Laboratory, Carleton University, Ottawa, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10124342/10087271.pdf?arnumber=10087271
Reference50 articles.
1. Trajectory Design for the Aerial Base Stations to Improve Cellular Network Performance
2. 3D Deployment of Multiple UAV-Mounted Base Stations for UAV Communications
3. An Efficient 3-D Positioning Approach to Minimize Required UAVs for IoT Network Coverage
4. Multi-Drone 3-D Trajectory Planning and Scheduling in Drone-Assisted Radio Access Networks
5. Location Optimization and User Association For Unmanned Aerial Vehicles Assisted Mobile Networks
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