activity
20152020
most cited20 Years of Evolution from Cognitive to Intelligent Communications

9 citations · 27 across the 9 of their papers we have counts for

collaborators

9 papers

cs.IT2020★ 4 cited

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…

cs.NI2019★ 9 cited

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…

cs.IT2018★ 8 cited

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…

cs.IT2018★ 1 cited

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…

cs.IT2016

Learning-Based Coexistence in Two-Tier Heterogeneous Networks with Cognitive Small Cells

Lin Zhang, Guodong Zhao, Wenli Zhou +3

We study the coexistence problem in a two-tier heterogeneous network (HetNet) with cognitive small cells. In particular, we consider an underlay HetNet, where the cognitive small b…

cs.IT2016

Estimating the Distance Between Macro Base Station and Users in Heterogeneous Networks

Lin Zhang, Wenli Zhou, Wanbin Tang +2

In underlay heterogeneous networks (HetNets), the distance between a macro base station (MBS) and a macro user (MU) is crucial for a small-cell based station (SBS) to control the i…

cs.IT2016

Decentralized Caching Schemes and Performance Limits in Two-layer Networks

Lin Zhang, Zhao Wang, Ming Xiao +3

We study the decentralized caching scheme in a two-layer network, which includes a sever, multiple helpers, and multiple users. Basically, the proposed caching scheme consists of t…

cs.IT2016★ 5 cited

Primary Channel Gain Estimation for Spectrum Sharing in Cognitive Radio Networks

Lin Zhang, Guodong Zhao, Wenli Zhou +4

In cognitive radio networks, the channel gain between primary transceivers, namely, primary channel gain, is crucial for a cognitive transmitter (CT) to control the transmit power…

cs.IT2015

Efficient Scheduling and Power Allocation for D2D-assisted Wireless Caching Networks

Lin Zhang, Ming Xiao, Gang Wu +1

We study an one-hop device-to-device (D2D) assisted wireless caching network, where popular files are randomly and independently cached in the memory of end-users. Each user may ob…