1.6k citations · 2k across the 16 of their papers we have counts for
6 papers · 2 filters
Training Time Minimization for Federated Edge Learning with Optimized Gradient Quantization and Bandwidth Allocation
Peixi Liu, Jiamo Jiang, Guangxu Zhu +5
Training a machine learning model with federated edge learning (FEEL) is typically time-consuming due to the constrained computation power of edge devices and limited wireless reso…
The KICK-OFF of 6G Research Worldwide: An Overview
Wei Jiang, Hans Dieter Schotten
The fifth-generation (5G) mobile system is now being deployed across the world and the scale of 5G subscribers is growing quickly in many countries. The attention of academia and i…
Impact of Channel Aging on Zero-Forcing Precoding in Cell-Free Massive MIMO Systems
Wei Jiang, Hans Dieter Schotten
In the context of cell-free massive multi-input multi-output (mMIMO), zero-forcing precoding (ZFP) requires the exchange of instantaneous channel state information and precoded dat…
Cell-Free Massive MIMO-OFDM Transmission over Frequency-Selective Fading Channels
Wei Jiang, Hans Dieter Schotten
This letter presents and analyzes orthogonal frequency-division multiplexing (OFDM)-based multi-carrier transmission for cell-free massive multi-input multi-output (CFmMIMO) over f…
A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection
Wei Jiang, Hans Dieter Schotten
Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for mobile nodes to achieve cooperative diversity in slow fading channels. However, the wro…
Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning
Wei Jiang, Hans Dieter Schotten
In this paper, we propose a novel cooperative multi-relay transmission scheme for mobile terminals to exploit spatial diversity. By improving the timeliness of measured channel sta…