249 citations · 1.8k across the 166 of their papers we have counts for
12 papers · 1 filter
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
Tran The Anh, Nguyen Cong Luong, Dusit Niyato +2
In this letter, we consider the concept of Mobile Crowd-Machine Learning (MCML) for a federated learning model. The MCML enables mobile devices in a mobile network to collaborative…
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…
Robust Transmissions in Wireless Powered Multi-Relay Networks with Chance Interference Constraints
Jing Xu, Yuze Zou, Shimin Gong +3
In this paper, we consider a wireless powered multi-relay network in which a multi-antenna hybrid access point underlaying a cellular system transmits information to distant receiv…
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…
Towards Secure Blockchain-enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
Jiawen Kang, Zehui Xiong, Dusit Niyato +3
In Internet of Vehicles (IoV), data sharing among vehicles is essential to improve driving safety and enhance vehicular services. To ensure data sharing security and traceability,…
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…
Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects
Zehui Xiong, Dusit Niyato, Ping Wang +2
Mobile data demand is increasing tremendously in wireless social networks, and thus an efficient pricing scheme for social-enabled services is urgently needed. Though static pricin…
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…
On Cyber Risk Management of Blockchain Networks: A Game Theoretic Approach
Shaohan Feng, Wenbo Wang, Zehui Xiong +3
Open-access blockchains based on proof-of-work protocols have gained tremendous popularity for their capabilities of providing decentralized tamper-proof ledgers and platforms for…
Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks
Yutao Jiao, Ping Wang, Dusit Niyato +1
As an emerging decentralized secure data management platform, blockchain has gained much popularity recently. To maintain a canonical state of blockchain data record, proof-of-work…
Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks
Nguyen Van Huynh, Dinh Thai Hoang, Dusit Niyato +2
This letter introduces a novel wireless-powered backscatter communication system which allows sensors to utilize RF signals transmitted from a dedicated RF energy source to transmi…