50 citations · 139 across the 15 of their papers we have counts for
15 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…
A Low Complexity Learning-based Channel Estimation for OFDM Systems with Online Training
Kai Mei, Jun Liu, Xiaoying Zhang +3
In this paper, we devise a highly efficient machine learning-based channel estimation for orthogonal frequency division multiplexing (OFDM) systems, in which the training of the es…
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks
Xiang Tan, Li Zhou, Haijun Wang +5
With the development of the 5G and Internet of Things, amounts of wireless devices need to share the limited spectrum resources. Dynamic spectrum access (DSA) is a promising paradi…
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…
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
Xiaochen Zhang, Haitao Zhao, Jun Xiong +2
Machine learning (ML) has been widely used for efficient resource allocation (RA) in wireless networks. Although superb performance is achieved on small and simple networks, most e…
Numerology Selection for OFDM Systems Based on Deep Neural Networks
Xiaoran Liu, Jiao Zhang, Jibo Wei
In order to support diverse scenarios and deployments, the numerology of orthogonal frequency division multiplexing (OFDM) is defined for the parametrization of subcarrier spacing…
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…
Enhanced LMMSE Estimation Capable of Selecting Parameters
Kai Mei, Jun Liu, Xiaoran Liu +3
In the linear minimum mean square error (LMMSE) estimation for orthogonal frequency division multiplexing (OFDM) systems, the problem about the determination of the algorithm's par…
Peak-to-Average Power Ratio Analysis for OFDM-Based Mixed-Numerology Transmissions
Xiaoran Liu, Lei Zhang, Jun Xiong +3
In this paper, the probability distribution of the peak to average power ratio (PAPR) is analyzed for the mixed numerologies transmission based on orthogonal frequency division mul…
PAPR Reduction Using Iterative Clipping/Filtering and ADMM Approaches for OFDM-Based Mixed-Numerology Systems
Xiaoran Liu, Xiaoying Zhang, Lei Zhang +4
Mixed-numerology transmission is proposed to support a variety of communication scenarios with diverse requirements. However, as the orthogonal frequency division multiplexing (OFD…
Performance Analysis on Machine Learning-Based Channel Estimation
Kai Mei, Jun Liu, Xiaochen Zhang +2
Recently, machine learning-based channel estimation has attracted much attention. The performance of machine learning-based estimation has been validated by simulation experiments.…
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…