12 citations · 23 across the 7 of their papers we have counts for
7 papers
Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
Jun Liu, Haitao Zhao, Dongtang Ma +2
Recently, deep neural network (DNN)-based physical layer communication techniques have attracted considerable interest. Although their potential to enhance communication systems an…
Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Jun Liu, Haitao Zhao, Dongtang Ma +2
Deep Neural Network (DNN)-based physical layer techniques are attracting considerable interest due to their potential to enhance communication systems. However, most studies in the…
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach
Jun Liu, Kai Mei, Xiaochen Zhang +4
Multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) is a key technology component in the evolution towards cognitive radio (CR) in next-generation…
A Cyber Physical System Framework for UAV Communications
Haijun Wang, Haitao Zhao, Dongtang Ma +1
Diverse applications have witnessed the prevalence of unmanned aerial vehicles (UAVs) due to their agility and versatility. Compared with computation and control, the communication…
Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective
Haijun Wang, Haitao Zhao, Jiao Zhang +3
Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the…
Deep Neural Network Aided Scenario Identification in Wireless Multi-path Fading Channels
Jun Liu, Kai Mei, Dongtang Ma +1
This letter illustrates our preliminary works in deep nerual network (DNN) for wireless communication scenario identification in wireless multi-path fading channels. In this letter…
High-precision timing and frequency synchronization method for MIMO-OFDM systems in double-selective channels
Jun Liu, Kai Mei, Xiaochen Zhang +3
In this letter, a novel synchronization method for MIMO-OFDM systems is proposed. The new approach has an accurate estimate of both symbol timing and large frequency offest. Simula…