Optimization of Energy Efficiency for Federated Learning over Unmanned Aerial Vehicle Communication Networks
XT Dang, OS Shin - Electronics, 2024 - mdpi.com
Federated learning (FL) is considered a promising machine learning technique that has
attracted increasing attention in recent years. Instead of centralizing data in one location for …
attracted increasing attention in recent years. Instead of centralizing data in one location for …
Secrecy design in full-duplex multi-user MIMO wireless networks with untrusted non-linear energy harvesting
In this paper, we consider a secure full-duplex (FD) multi-user multiple-input multiple-output
(MU-MIMO) network where an FD base station simultaneously communicates with users and …
(MU-MIMO) network where an FD base station simultaneously communicates with users and …
Deep Learning-Based Energy Efficiency Maximization in Massive MIMO-NOMA Networks With Multiple RISs
RHY Perdana, TV Nguyen… - … Artificial Intelligence in …, 2024 - ieeexplore.ieee.org
In this paper, we study a deep learning (DL)-based energy efficiency maximization (EEM)
problem in massive multiple-input multiple-output (MIMO)-non-orthogonal multiple access …
problem in massive multiple-input multiple-output (MIMO)-non-orthogonal multiple access …
UAV-X Communication: Empirical Characterization and Performance Optimization
MH Syed - 2024 - scholar.smu.edu
In emerging wireless networks, the scalability of deploying drones presents an opportunity to
design extensive aerial networks. These networks could effectively monitor large agricultural …
design extensive aerial networks. These networks could effectively monitor large agricultural …