68 citations · 188 across the 30 of their papers we have counts for
8 papers · 2 filters
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…
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +3
Ambient backscatter has been introduced with a wide range of applications for low power wireless communications. In this article, we propose an optimal and low-complexity dynamic s…
Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain
Shaohan Feng, Wenbo Wang, Dusit Niyato +2
With the explosive growth of smart IoT devices at the edge of the Internet, embedding sensors on mobile devices for massive data collection and collective environment sensing has b…
Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter
Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +3
For an RF-powered cognitive radio network with ambient backscattering capability, while the primary channel is busy, the RF-powered secondary user (RSU) can either backscatter the…
A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content and Service Markets
Wenbo Wang, Zehui Xiong, Dusit Niyato +2
In sponsored content and service markets, the content and service providers are able to subsidize their target mobile users through directly paying the mobile network operator, to…
Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks
Wenbo Wang, Dinh Thai Hoang, Dusit Niyato +2
In this paper, we study the transmission strategy adaptation problem in an RF-powered cognitive radio network, in which hybrid secondary users are able to switch between the harves…