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In this letter, we study the ambient backscatter communication systems over frequency-selective channels. Specifically, we propose an interference-free transceiver design to facilitate signal detection at the reader. Our design utilizes the…

Information Theory · Computer Science 2019-01-07 Chong Zhang , Gongpu Wang , Panagiotis D. Diamantoulakis , Feifei Gao , George K. Karagiannidis

Transfer learning (TL) has been widely used in motor imagery (MI) based brain-computer interfaces (BCIs) to reduce the calibration effort for a new subject, and demonstrated promising performance. While a closed-loop MI-based BCI system,…

Signal Processing · Electrical Eng. & Systems 2023-05-04 Dongrui Wu , Xue Jiang , Ruimin Peng , Wanzeng Kong , Jian Huang , Zhigang Zeng

In orthogonal frequency-division multiplexing-based radar and integrated sensing and communication systems, the sensing range is traditionally limited by the round-trip time corresponding to the cyclic prefix duration. Targets whose echoes…

Signal Processing · Electrical Eng. & Systems 2026-02-24 Umut Utku Erdem , Lucas Giroto , Benedikt Geiger , Taewon Jeong , Silvio Mandelli , Christian Karle , Benjamin Nuss , Laurent Schmalen , Thomas Zwick

We consider the problem of degradation in performance of multi-carrier multi-user massive MIMO systems when channel induced Doppler spread is high. Recently, Orthogonal Time Frequency Space (OTFS) modulation has been shown to be robust to…

Information Theory · Computer Science 2024-10-30 Brijesh Chander Pandey , Saif Khan Mohammed , P. Raviteja , Yi Hong , Emanuele Viterbo

Orthogonal time frequency space (OTFS) is a two-dimensional modulation technique that uses the delay-Doppler (DD) domain and is a candidate for providing robust, high-capacity wireless communications for envisioned 6G and beyond networks.…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Burak Ahmet Ozden , Erdogan Aydin , Emir Aslandogan , Haci Ilhan , Ertugrul Basar , Miaowen Wen , Marco Di Renzo , Vincent Poor

Semi-supervised learning (SSL) has been proposed to leverage unlabeled data for training powerful models when only limited labeled data is available. While existing SSL methods assume that samples in the labeled and unlabeled data share the…

Computer Vision and Pattern Recognition · Computer Science 2020-07-23 Qing Yu , Daiki Ikami , Go Irie , Kiyoharu Aizawa

This paper proposes a deep learning approach to channel sensing and downlink hybrid beamforming for massive multiple-input multiple-output systems operating in the time division duplex mode and employing either single-carrier or…

Information Theory · Computer Science 2022-06-30 Kareem M. Attiah , Foad Sohrabi , Wei Yu

To achieve communication-efficient federated multitask learning (FMTL), we propose an over-the-air FMTL (OAFMTL) framework, where multiple learning tasks deployed on edge devices share a non-orthogonal fading channel under the coordination…

Information Theory · Computer Science 2022-05-10 Haoming Ma , Xiaojun Yuan , Zhi Ding , Dian Fan , Jun Fang

Robust out-of-distribution (OOD) detection is an indispensable component of modern artificial intelligence (AI) systems, especially in safety-critical applications where models must identify inputs from unfamiliar classes not seen during…

Machine Learning · Computer Science 2025-09-09 Tarhib Al Azad , Shahana Ibrahim

The \emph{$f$-fault-tolerant connectivity labeling} ($f$-FTC labeling) is a scheme of assigning each vertex and edge with a small-size label such that one can determine the connectivity of two vertices $s$ and $t$ under the presence of at…

Data Structures and Algorithms · Computer Science 2023-11-17 Taisuke Izumi , Yuval Emek , Tadashi Wadayama , Toshimitsu Masuzawa

For an orthogonal frequency-division multiplexing (OFDM) system over a doubly selective (DS) channel, a large number of pilot subcarriers are needed to estimate the numerous channel parameters, resulting in low spectral efficiency. In this…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Qibo Qin , Lin Gui , Bo Gong , Xiang Ren , Wen Chen

Federated Learning (FL) on non-independently and identically distributed (non-IID) data remains a critical challenge, as existing approaches struggle with severe data heterogeneity. Current methods primarily address symptoms of non-IID by…

Machine Learning · Computer Science 2025-04-21 Hui Yeok Wong , Chee Kau Lim , Chee Seng Chan

Class distribution plays an important role in learning deep classifiers. When the proportion of each class in the test set differs from the training set, the performance of classification nets usually degrades. Such a label distribution…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Wenao Ma , Cheng Chen , Shuang Zheng , Jing Qin , Huimao Zhang , Qi Dou

A simple data-aided scheme for sampling clock synchronisation in reduced-guard-interval coherent optical orthogonal frequency division multiplexing (RGI-CO-OFDM) systems is proposed. In the proposed scheme, the sampling clock offset (SCO)…

Signal Processing · Electrical Eng. & Systems 2018-01-08 Oluyemi Omomukuyo , Deyuan Chang , Octavia A. Dobre , Ramachandran Venkatesan , Telex M. N. Ngatched

In the era of foundation models, Out-of- Distribution (OOD) problems, i.e., the data discrepancy between the training environments and testing environments, hinder AI generalization. Further, relational data like graphs disobeying the…

Machine Learning · Computer Science 2025-06-02 Katherine Tieu , Dongqi Fu , Jun Wu , Jingrui He

Multi-label classification (MLC) refers to the problem of tagging a given instance with a set of relevant labels. Most existing MLC methods are based on the assumption that the correlation of two labels in each label pair is symmetric,…

Machine Learning · Computer Science 2024-10-04 Xingyu Zhao , Yuexuan An , Lei Qi , Xin Geng

We investigate the multiuser scheduling problem in multiple-input multiple-output (MIMO) systems using orthogonal frequency division multiplexing (OFDM) and hybrid beamforming in which a base station (BS) communicates with multiple users…

Information Theory · Computer Science 2025-07-15 Pouya Agheli , Tugce Kobal , François Durand , Matthew Andrews

The next generation of wireless communication technology is anticipated to address the communication reliability challenges encountered in high-speed mobile communication scenarios. An Orthogonal Time Frequency Space (OTFS) system has been…

Information Theory · Computer Science 2024-06-14 Lifan Wu , Shan Luo , Dongxiao Song , Fan Yang , Rongping Lin

Delay alignment modulation (DAM) has been recently proposed to enable inter-symbol interference (ISI)-free single-carrier (SC) communication without relying on sophisticated channel equalization. The key idea of DAM is to pre-introduce…

Signal Processing · Electrical Eng. & Systems 2022-06-09 Zhiqiang Xiao , Yong Zeng

The paper presents fault-tolerant (FT) labeling schemes for general graphs, as well as, improved FT routing schemes. For a given $n$-vertex graph $G$ and a bound $f$ on the number of faults, an $f$-FT connectivity labeling scheme is a…

Data Structures and Algorithms · Computer Science 2021-06-02 Michal Dory , Merav Parter