959 citations · 4.7k across the 87 of their papers we have counts for
14 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…
Deep Reinforcement Learning based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks
Lin Zhang, Junjie Tan, Ying-Chang Liang +2
We consider a cognitive heterogeneous network (HetNet), in which multiple pairs of secondary users adopt sensing-based approaches to coexist with a pair of primary users on a certa…
Symbiotic Radio: A New Communication Paradigm for Passive Internet-of-Things
Ruizhe Long, Huayan Guo, Gang Yang +2
In this paper, a novel technique, called symbiotic radio (SR), is proposed for passive Internet-of-Things (IoT), in which a backscatter device (BD) is integrated with a primary tra…
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…
Spectrum Sharing for Internet of Things: A Survey
Lin Zhang, Ying-Chang Liang, Ming Xiao
The Internet of Things (IoT) is a promising paradigm to accommodate massive device connections in 5G and beyond. To pave the way for future IoT, the spectrum should be planed in ad…