Sixth-generation (6G) mobile communication networks are expected to have dense infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified …
In this article, the problem of training federated learning (FL) algorithms over a realistic wireless network is studied. In the considered model, wireless users execute an FL …
G Luo, Q Yuan, J Li, S Wang, F Yang - IEEE Network, 2022 - ieeexplore.ieee.org
Mobile networks (MNs) are anticipated to provide unprecedented opportunities to enable a new world of connected experiences and radically shift the way people interact with …
In this paper, we investigate the robust resource allocation design for secure communication in an integrated sensing and communication (ISAC) system. A multi-antenna dual-functional …
Z Xiao, Y Zeng - Science China Information Sciences, 2022 - Springer
Abstract while the fifth generation (5G) cellular system is being deployed worldwide, researchers have started the investigation of the sixth generation (6G) mobile …
Y Zeng, X Xu, S Jin, R Zhang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future by reusing the cellular base stations (BSs) to enable their …
Y Zeng, X Xu - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
This article proposes the concept of channel knowledge map (CKM) as an enabler toward environment-aware wireless communications. CKM is a site-specific database, tagged with …
Federated learning (FL) allows multiple edge computing nodes to jointly build a shared learning model without having to transfer their raw data to a centralized server, thus …
S Zhang, R Zhang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this paper, we study the three-dimensional (3D) path planning for a cellular-connected unmanned aerial vehicle (UAV) to minimize its flying distance from given initial to final …