518 citations · 1.1k across the 15 of their papers we have counts for
15 papers
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Helin Yang, Jun Zhao, Zehui Xiong +3
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for supporting data collection, artificial intelligence (AI) model training, and wireless commu…
Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach
Sicong Liu, Liang Xiao, Zhu Han +1
Narrowband internet-of-things (NB-IoT) is a competitive 5G technology for massive machine-type communication scenarios, but meanwhile introduces narrowband interference (NBI) to ex…
Fast Reinforcement Learning for Anti-jamming Communications
Pei-Gen Ye, Yuan-Gen Wang, Jin Li +1
This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability and applies -greedy with probabil…
Deep Reinforcement Learning Based Intelligent Reflecting Surface for Secure Wireless Communications
Helin Yang, Zehui Xiong, Jun Zhao +3
In this paper, we study an intelligent reflecting surface (IRS)-aided wireless secure communication system for physical layer security, where an IRS is deployed to adjust its surfa…
UAV-Aided Cellular Communications with Deep Reinforcement Learning Against Jamming
Xiaozhen Lu, Liang Xiao, Canhuang Dai +1
Cellular systems are vulnerable to jamming attacks, especially smart jammers that choose their jamming policies such as the jamming channel frequencies and power based on the ongoi…
Secure Mobile Crowdsensing with Deep Learning
Liang Xiao, Donghua Jiang, Dongjin Xu +1
In order to stimulate secure sensing for Internet of Things (IoT) applications such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems have to address security…