959 citations · 4.7k across the 87 of their papers we have counts for
8 papers · 1 filter
20 Years of Evolution from Cognitive to Intelligent Communications
Zhijin Qin, Xiangwei Zhou, Lin Zhang +3
It has been 20 years since the concept of cognitive radio (CR) was proposed, which is an efficient approach to provide more access opportunities to connect massive wireless devices…
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang +5
In recent years, mobile devices are equipped with increasingly advanced sensing and computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up countless…
Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach
Nguyen Cong Luong, Tran The Anh, Huynh Thi Thanh Binh +3
To ensure that the data aggregation, data storage, and data processing are all performed in a decentralized but trusted manner, we propose to use the blockchain with the mining poo…
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong +4
This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking. Modern networks, e.g., Internet of Things (Io…
A Learning-Based Coexistence Mechanism for LAA-LTE Based HetNets
Junjie Tan, Sa Xiao, Shiying Han +1
License-assisted access LTE (LAA-LTE) has been proposed to deal with the intense contradiction between tremendous mobile traffic demands and crowded licensed spectrums. In this pap…
Performance Analysis for Practical Unmanned Aerial Vehicle Networks with LoS/NLoS Transmissions
Chang Liu, Ming Ding, Chuan Ma +3
In this paper, we provide a performance analysis for practical unmanned aerial vehicle (UAV)-enabled networks. By considering both line-of-sight (LoS) and non-line-of-sight (NLoS)…