148 citations · 756 across the 59 of their papers we have counts for
15 papers · 1 filter
Detection of Abrupt Change in Channel Covariance Matrix for Multi-Antenna Communication
Runnan Liu, Liang Liu, Dazhi He +2
The knowledge of channel covariance matrices is of paramount importance to the estimation of instantaneous channels and the design of beamforming vectors in multi-antenna systems.…
Learning to Perform Downlink Channel Estimation in Massive MIMO Systems
Amin Ghazanfari, Trinh Van Chien, Emil Björnson +1
We study downlink (DL) channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in a time-division duplex. The users must know their effect…
Sensing and Classification Using Massive MIMO: A Tensor Decomposition-Based Approach
B. R. Manoj, Guoda Tian, Sara Gunnarsson +2
Wireless-based activity sensing has gained significant attention due to its wide range of applications. We investigate radio-based multi-class classification of human activities us…
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…
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
Federated Learning (FL) is a newly emerged decentralized machine learning (ML) framework that combines on-device local training with server-based model synchronization to train a c…
Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO
Amin Ghazanfari, Hei Victor Cheng, Emil Björnson +1
This paper studies the transmit power optimization in multi-cell massive multiple-input multiple-output (MIMO) systems. Network-wide max-min fairness (NW-MMF) and network-wide prop…