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- ArticleDecember 2024
Parkinson’s Disease Detection from Resting State EEG Using Multi-head Graph Structure Learning with Gradient Weighted Graph Attention Explanations
AbstractParkinson’s disease (PD) is a debilitating neurodegenerative disease that has severe impacts on an individual’s quality of life. Compared with structural and functional MRI-based biomarkers for the disease, electroencephalography (EEG) can provide ...
- research-articleJuly 2024
Spatial Channel State Information Prediction With Generative AI: Toward Holographic Communication and Digital Radio Twin
IEEE Network: The Magazine of Global Internetworking (IEEENETW), Volume 38, Issue 5Pages 93–101https://doi.org/10.1109/MNET.2024.3421940As the deployment of 5G technology matures, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radio technologies. A pivot to these radio technologies is the effective management of ...
- research-articleMay 2024
Multi-User Modular XL-MIMO Communications: Near-Field Beam Focusing Pattern and User Grouping
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 10_Part_2Pages 13766–13781https://doi.org/10.1109/TWC.2024.3404659In this paper, we investigate multi-user modular extremely large-scale multiple-input multiple-output (XL-MIMO) communication systems, where modular extremely large-scale uniform linear array (XL-ULA) is deployed at the base station (BS) to serve multiple ...
- research-articleMay 2024
How Much Data Is Needed for Channel Knowledge Map Construction?
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 10_Part_1Pages 13011–13021https://doi.org/10.1109/TWC.2024.3397964Channel knowledge map (CKM) has been recently proposed to enable environment-aware communications by utilizing historical or simulation generated wireless channel data. This paper studies the construction of one particular type of CKM, namely channel gain ...
- research-articleMay 2024
ISAC From the Sky: UAV Trajectory Design for Joint Communication and Target Localization
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 10_Part_1Pages 12857–12872https://doi.org/10.1109/TWC.2024.3396571Integrated sensing and communication (ISAC) is studied in the airborne domain, where Unmanned Aerial Vehicles (UAVs) act as communication base stations and radars simultaneously. The UAV transmits signals to users while leveraging these signals to ...
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- research-articleApril 2024
A Tutorial on Near-Field XL-MIMO Communications Toward 6G
- Haiquan Lu,
- Yong Zeng,
- Changsheng You,
- Yu Han,
- Jiayi Zhang,
- Zhe Wang,
- Zhenjun Dong,
- Shi Jin,
- Cheng-Xiang Wang,
- Tao Jiang,
- Xiaohu You,
- Rui Zhang
IEEE Communications Surveys & Tutorials (IEEE_ICST), Volume 26, Issue 4Pages 2213–2257https://doi.org/10.1109/COMST.2024.3387749Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising technology for the sixth-generation (6G) mobile communication networks. By significantly boosting the antenna number or size to at least an order of magnitude beyond current ...
- research-articleFebruary 2024
A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G
IEEE Communications Surveys & Tutorials (IEEE_ICST), Volume 26, Issue 3Pages 1478–1519https://doi.org/10.1109/COMST.2024.3364508Sixth-generation (6G) mobile communication networks are expected to have dense infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified positioning methods, and enhanced intelligence. Such trends bring both new challenges ...
- research-articleJanuary 2024
Eyes See Hazy while Algorithms Recognize Who You Are
ACM Transactions on Privacy and Security (TOPS), Volume 27, Issue 1Article No.: 7, Pages 1–23https://doi.org/10.1145/3632292Facial recognition technology has been developed and widely used for decades. However, it has also made privacy concerns and researchers’ expectations for facial recognition privacy-preserving technologies. To provide privacy, detailed or semantic ...
- research-articleJanuary 2024
Cramér-Rao Bounds for Near-Field Sensing With Extremely Large-Scale MIMO
IEEE Transactions on Signal Processing (TSP), Volume 72Pages 701–717https://doi.org/10.1109/TSP.2024.3350329Mobile communication networks were designed to mainly support ubiquitous wireless communications, yet they are also expected to achieve radio sensing capabilities in the near future. However, most prior studies on radio sensing usually rely on far-field ...
- research-articleNovember 2023
Delay-Doppler Alignment Modulation for Spatially Sparse Massive MIMO Communication
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 6Pages 6000–6014https://doi.org/10.1109/TWC.2023.3329487Delay alignment modulation (DAM) is an emerging technique for achieving inter-symbol interference (ISI)-free wideband communications using spatial-delay processing, without relying on channel equalization or multi-carrier transmission. However, existing ...
- research-articleOctober 2023
Toward Seamless Sensing Coverage for Cellular Multi-Static Integrated Sensing and Communication
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 6Pages 5363–5376https://doi.org/10.1109/TWC.2023.3325849The sixth generation (6G) mobile communication networks are expected to offer a new paradigm of cellular integrated sensing and communication (ISAC). However, due to the intrinsic difference between wireless sensing and communication in terms of coverage ...
- ArticleOctober 2023
Signcryption-Based Encrypted Traffic Detection Scheme for Fast Establishing Secure Connections
AbstractThe popularity of Internet traffic encryption has made encrypted traffic detection becoming a hot topic in the present academic community. Due to its fine-grained detection strategy that avoids the influence of traffic shaping, the encrypted ...
- research-articleOctober 2023
Environment-Aware Hybrid Beamforming by Leveraging Channel Knowledge Map
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 5Pages 4990–5005https://doi.org/10.1109/TWC.2023.3323941Hybrid analog/digital beamforming is a promising technique to realize millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems cost-effectively. However, existing hybrid beamforming designs mainly rely on real-time channel training ...
- research-articleOctober 2023
Near-Field Modeling and Performance Analysis for Extremely Large-Scale IRS Communications
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 5Pages 4976–4989https://doi.org/10.1109/TWC.2023.3323770Intelligent reflecting surface (IRS) is an emerging technology for wireless communications, thanks to its powerful capability to engineer the radio environment. However, in practice, this benefit is attainable only when the passive IRS is of sufficiently ...
- research-articleAugust 2023
Single-Carrier Delay Alignment Modulation for Multi-IRS Aided Communication
IEEE Transactions on Wireless Communications (TWC), Volume 23, Issue 4Pages 3267–3282https://doi.org/10.1109/TWC.2023.3306899Delay alignment modulation (DAM) is a promising technology to achieve inter-symbol interference (ISI)-free single-carrier communication, by leveraging delay compensation and path-based beamforming, rather than the conventional channel equalization or ...
- research-articleDecember 2023
An empirical study on intention of e-CNY from users' perspectives under background of mobile commerce
ICEME '23: Proceedings of the 2023 14th International Conference on E-business, Management and EconomicsPages 30–37https://doi.org/10.1145/3616712.3616779Most central banks around the world explore issuing retail central bank of digital currencies (CBDCs), China is one of the few countries that have made substantial progress. Compared to highly popular mobile payment, e-CNY is not widely used in pilot ...
- research-articleMay 2023
Intelligent detection of Multi-Class pitaya fruits in target picking row based on WGB-YOLO network
Computers and Electronics in Agriculture (COEA), Volume 208, Issue Chttps://doi.org/10.1016/j.compag.2023.107780Highlights- A improved YOLO network was proposed to detect Multi-class pitaya in orchard.
- WFE-C4 had a unique two-sided WFE (wing feature enhancement) structure.
- GF-SPP used GF (global enhancement feature) to enhance the two pooling channels.
In a densely planted orchard, factors such as light variation, branch occlusion, and fruit in non-picking rows had a great impact on the pitaya detection accuracy. In this study, a new WGB-YOLO network was developed and tested for multi-class ...
- research-articleApril 2023
Integrated Sensing and Communication With Delay Alignment Modulation: Performance Analysis and Beamforming Optimization
IEEE Transactions on Wireless Communications (TWC), Volume 22, Issue 12Pages 8904–8918https://doi.org/10.1109/TWC.2023.3266758Delay alignment modulation (DAM) has been recently proposed to enable manipulable channel delay spread for efficient single- or multi-carrier communications. In particular, with perfect delay alignment, inter-symbol interference (ISI) can be eliminated ...
- research-articleFebruary 2023
Faster and accurate green pepper detection using NSGA-II-based pruned YOLOv5l in the field environment
Computers and Electronics in Agriculture (COEA), Volume 205, Issue Chttps://doi.org/10.1016/j.compag.2022.107563Highlights- The NSGA-II-based pruning algorithm was proposed to obtain the optimal pruning strategy.
- The NSGA-II-based pruned YOLOv5l green pepper detection model was obtained.
- The mAP 0.5 was 81.4 %, the model size was 23.4 MB, and the frame ...
Rapid and accurate detection of green peppers are essential for their growth monitoring, yield estimation, phenotypic monitoring, and robotic harvesting. In order to simplify the detection model and improve the detection efficiency, the NSGA-II-...
- research-articleJanuary 2023
Reinforcement learning for automatic quadrilateral mesh generation: A soft actor–critic approach
Neural Networks (NENE), Volume 157, Issue CPages 288–304https://doi.org/10.1016/j.neunet.2022.10.022AbstractThis paper proposes, implements, and evaluates a reinforcement learning (RL)-based computational framework for automatic mesh generation. Mesh generation plays a fundamental role in numerical simulations in the area of computer aided ...