Search Results for author: Wen Xu

Found 11 papers, 2 papers with code

Optimal Beamforming for Bistatic MIMO Sensing

no code implementations2 May 2024 Tobias Laas, Ronald Boehnke, Wen Xu

Numerical results show that beamforming with at most one beam per subcarrier is optimal for certain parameters, but for other parameters, optimal solutions need two beams on some subcarriers.


Sensor Fusion and Resource Management in MIMO-OFDM Joint Sensing and Communication

no code implementations12 Dec 2023 Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci, Wen Xu, Enrico Paolini, Andrea Giorgetti

This study explores the promising potential of integrating sensing capabilities into multiple-input multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM)-based networks through innovative multi-sensor fusion techniques, tracking algorithms, and resource management.

Management Sensor Fusion

Multi-Base Station Cooperative Sensing with AI-Aided Tracking

no code implementations31 Oct 2023 Elia Favarelli, Elisabetta Matricardi, Lorenzo Pucci, Enrico Paolini, Wen Xu, Andrea Giorgetti

In this work, we investigate the performance of a joint sensing and communication (JSC) network consisting of multiple base stations (BSs) that cooperate through a fusion center (FC) to exchange information about the sensed environment while concurrently establishing communication links with a set of user equipments (UEs).

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction

1 code implementation12 Dec 2022 Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Chen, Jian Wu

Clinically, to assess the necessity of cataract surgery, accurately predicting postoperative VA before surgery by analyzing multi-view optical coherence tomography (OCT) images is crucially needed.


Learning Quantization in LDPC Decoders

no code implementations10 Aug 2022 Marvin Geiselhart, Ahmed Elkelesh, Jannis Clausius, Fei Liang, Wen Xu, Jing Liang, Stephan ten Brink

Finding optimal message quantization is a key requirement for low complexity belief propagation (BP) decoding.


LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data

1 code implementation14 Apr 2022 Yuanyuan Wei, Julian Jang-Jaccard, Wen Xu, Fariza Sabrina, Seyit Camtepe, Mikael Boulic

Anomaly detection for indoor air quality (IAQ) data has become an important area of research as the quality of air is closely related to human health and well-being.

Anomaly Detection Time Series +1

IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset

no code implementations30 Mar 2022 Yuhua Yin, Julian Jang-Jaccard, Wen Xu, Amardeep Singh, Jinting Zhu, Fariza Sabrina, Jin Kwak

Then, we apply recursive feature elimination(RFE) as a wrapper feature selection method to further eliminate redundant features recursively on the reduced feature subsets.

Anomaly Detection feature selection +1

Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection

no code implementations2 Feb 2022 Wen Xu, Julian Jang-Jaccard, Tong Liu, Fariza Sabrina

The network intrusion detection task is challenging because of the imbalanced and unlabeled nature of the dataset it operates on.

Anomaly Detection Network Intrusion Detection +1

Tensor-based Basis Function Learning for Three-dimensional Sound Speed Fields

no code implementations21 Jan 2022 Lei Cheng, Xingyu Ji, Hangfang Zhao, Jianlong Li, Wen Xu

In particular, a tensor-based basis function learning framework is proposed, which can include the classical basis functions (using EOFs and/or Fourier basis functions) as its special cases.

Tensor Decomposition

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