Cell-Free Massive MIMO with UAV Access Points: UAV Location Optimization
Author:
Affiliation:
1. Nanjing University of Posts and Telecommunications,Nanjing,China,210003
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9880588/9880614/09880734.pdf?arnumber=9880734
Reference19 articles.
1. Flying Ad-Hoc Networks (FANETs): A survey
2. Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage
3. Analysis of UAV Communications in Cell-Free Massive MIMO Systems
4. UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems
5. Cell-free massive MIMO for UAV communications;andrea;Proc IEEE ICC Workshops,2019
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1. Joint AP Selection and Task Offloading Based on Deep Reinforcement Learning for Urban-Micro Cell-Free UAV Network;Electronics;2023-11-25
2. UAV-Enabled Cell-Free Networks: Joint Optimization for User Fairness;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10
3. Soft Actor–Critic Based 3-D Deployment and Power Allocation in Cell-Free Unmanned Aerial Vehicle Networks;IEEE Wireless Communications Letters;2023-10
4. UAV Communications in 6G Cell-Free Massive MIMO Systems;2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2023-05-21
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