9 citations · 9 across the 1 of their papers we have counts for
4 papers
Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks
Lin Zhang, Ying-Chang Liang
We consider a typical heterogeneous network (HetNet), in which multiple access points (APs) are deployed to serve users by reusing the same spectrum band. Since different APs and u…
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…
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…
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…