Search Results for author: Weidong Wang

Found 13 papers, 1 papers with code

Joint Channel Estimation and Data Recovery for Millimeter Massive MIMO: Using Pilot to Capture Principal Components

no code implementations3 Jan 2024 Shusen Cai, Li Chen, Yunfei Chen, Huarui Yin, Weidong Wang

In Stage 1, differing from the traditional PF-based methods, the proposed PF-assisted method is utilized to capture the angle of arrival (AoA) of principal components (PC) of channels.

Semi-Supervised Learning via Swapped Prediction for Communication Signal Recognition

no code implementations14 Nov 2023 Weidong Wang, Hongshu Liao, Lu Gan

Deep neural networks have been widely used in communication signal recognition and achieved remarkable performance, but this superiority typically depends on using massive examples for supervised learning, whereas training a deep neural network on small datasets with few labels generally falls into overfitting, resulting in degenerated performance.

Data Augmentation

Radio Generation Using Generative Adversarial Networks with An Unrolled Design

no code implementations24 Jun 2023 Weidong Wang, Jiancheng An, Hongshu Liao, Lu Gan, Chau Yuen

Experimental results with extensive simulations demonstrate that our proposed GAN framework can effectively learn transmitter characteristics and various channel effects, thus accurately modeling for an underlying sampling distribution to synthesize radio signals of high quality.

Open-Set RF Fingerprinting via Improved Prototype Learning

no code implementations24 Jun 2023 Weidong Wang, Hongshu Liao, Lu Gan

Deep learning has been widely used in radio frequency (RF) fingerprinting.

Open Set Learning

Semi-Supervised RF Fingerprinting with Consistency-Based Regularization

no code implementations28 Apr 2023 Weidong Wang, Cheng Luo, Jiancheng An, Lu Gan, Hongshu Liao, Chau Yuen

As a promising non-password authentication technology, radio frequency (RF) fingerprinting can greatly improve wireless security.

Data Augmentation

Data-driven and machine-learning based prediction of wave propagation behavior in dam-break flood

no code implementations19 Sep 2022 Changli Li, Zheng Han, Yange Li, Ming Li, Weidong Wang

To show the performance of the RC-ESN model, we also provide a sensitivity analysis of the prediction accuracy concerning the key parameters including training set size, reservoir size, and spectral radius.

Hierarchical-Absolute Reciprocity Calibration for Millimeter-wave Hybrid Beamforming Systems

no code implementations14 Apr 2022 Li Chen, Rongjiang Nie, Yunfei Chen, Weidong Wang

The results reveal that the estimation errors of mismatch coefficients of digital and analog chains are uncorrelated, and that the mismatch coefficients of receive digital chains can be estimated perfectly.

Blind Diagnosis for Millimeter-wave Large-scale Antenna Systems

no code implementations25 Jan 2021 Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang

Millimeter-wave (mmWave) communication systems rely on large-scale antenna arrays to combat large path-loss at mmWave band.

Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems

1 code implementation11 Jan 2021 Rui Sun, Weidong Wang, Li Chen, Guo Wei, Wenyi Zhang

In the second case where only partial CSI is available, we jointly exploit the sparsity of the millimeter-wave channel and the failure, and adopt compressed sparse and low-rank matrix recovery algorithm to decouple channel and failure.

A General Architecture for Behavior Modeling of Nonlinear Power Amplifier using Deep Convolutional Neural Network

no code implementations6 Jun 2020 Xin Hu, Zhijun Liu, You Li, Lexi Xu, Sun Zhang, Qinlong Li, Jia Hu, WenHua Chen, Weidong Wang, Mohamed Helaoui, Fadhel M. Ghannouchi

In this work, a low complexity, general architecture based on the deep real-valued convolutional neural network (DRVCNN) is proposed to build the nonlinear behavior of the power amplifier.

Convolutional Neural Network for Behavioral Modeling and Predistortion of Wideband Power Amplifiers

no code implementations20 May 2020 Xin Hu, Zhijun Liu, Xiaofei Yu, Yulong Zhao, WenHua Chen, Biao Hu, Xuekun Du, Xiang Li, Mohamed Helaoui, Weidong Wang, Fadhel M. Ghannouchi

We design a pre-designed filter using the convolutional layer to extract the basis functions required for the PA forward or reverse modeling.

Robust Federated Learning with Noisy Communication

no code implementations1 Nov 2019 Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu

Nevertheless, it is impractical to achieve a perfect acquisition of the local models in wireless communication due to noise, which also brings serious effects on federated learning.

Federated Learning Robust Design

An End-to-End Block Autoencoder For Physical Layer Based On Neural Networks

no code implementations15 Jun 2019 Tianjie Mu, Xiaohui Chen, Li Chen, Huarui Yin, Weidong Wang

Deep Learning has been widely applied in the area of image processing and natural language processing.

Information Theory Signal Processing Information Theory

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