49 citations · 69 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…