66 citations · 103 across the 3 of their papers we have counts for
9 papers
Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
Yinan Zou, Zixin Wang, Xu Chen +2
In this paper, we consider communication-efficient over-the-air federated learning (FL), where multiple edge devices with non-independent and identically distributed datasets perfo…
The Paradigm of Digital Twin Communications
Tom H. Luan, Ruhan Liu, Longxiang Gao +2
With the fast evolving of cloud computing and artificial intelligence (AI), the concept of digital twin (DT) has recently been proposed and finds broad applications in industrial I…
AI-Native Network Slicing for 6G Networks
Wen Wu, Conghao Zhou, Mushu Li +6
With the global roll-out of the fifth generation (5G) networks, it is necessary to look beyond 5G and envision the 6G networks. The 6G networks are expected to have space-air-groun…
A 6G White Paper on Connectivity for Remote Areas
Harri Saarnisaari, Sudhir Dixit, Mohamed-Slim Alouini +31
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low inco…
Multi-Drone 3D Trajectory Planning and Scheduling in Drone Assisted Radio Access Networks
Weisen Shi, Junlng Li, Nan Cheng +4
Drone base station (DBS) is a promising technique to extend wireless connections for uncovered users of terrestrial radio access networks (RAN). To improve user fairness and networ…
3D Multi-Drone-Cell Trajectory Design for Efficient IoT Data Collection
Weisen Shi, Junling Li, Nan Cheng +5
Drone cell (DC) is an emerging technique to offer flexible and cost-effective wireless connections to collect Internet-of-things (IoT) data in uncovered areas of terrestrial networ…