168 citations · 486 across the 27 of their papers we have counts for
4 papers · 1 filter
Data Size-Aware Downlink Massive MIMO: A Session-Based Approach
Tung T. Vu, Hien Quoc Ngo, Minh N. Dao +2
This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completio…
Energy-Efficient Massive MIMO for Federated Learning: Transmission Designs and Resource Allocations
Tung T. Vu, Hien Q. Ngo, Minh N. Dao +3
This work proposes novel synchronous, asynchronous, and session-based designs for energy-efficient massive multiple-input multiple-output networks to support federated learning (FL…
Energy-Efficient Massive MIMO for Serving Multiple Federated Learning Groups
Tung T. Vu, Hien Quoc Ngo, Duy T. Ngo +2
With its privacy preservation and communication efficiency, federated learning (FL) has emerged as a learning framework that suits beyond 5G and towards 6G systems. This work looks…
Joint Resource Allocation to Minimize Execution Time of Federated Learning in Cell-Free Massive MIMO
Tung T. Vu, Duy T. Ngo, Hien Quoc Ngo +3
Due to its communication efficiency and privacy-preserving capability, federated learning (FL) has emerged as a promising framework for machine learning in 5G-and-beyond wireless n…