68 citations · 185 across the 24 of their papers we have counts for
20 papers · 1 filter
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Shaohan Feng, Dusit Niyato, Ping Wang +2
For the sake of protecting data privacy and due to the rapid development of mobile devices, e.g., powerful central processing unit (CPU) and nascent neural processing unit (NPU), c…
Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard
Zhengwei Ni, Wenbo Wang, Dong In Kim +2
With the development of decentralized consensus protocols, permissionless blockchains have been envisioned as a promising enabler for the general-purpose transaction-driven, autono…
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…