Weihua Zhuang
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View article: Performance Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications: A Stochastic Geometry Approach
Performance Analysis of End-to-End LEO Satellite-Aided Shore-to-Ship Communications: A Stochastic Geometry Approach Open
Low Earth orbit (LEO) satellite networks have shown strategic superiority in maritime communications, assisting in establishing signal transmissions from shore to ship through space-based links. Traditional performance modeling based on mu…
View article: KAT-Coder Technical Report
KAT-Coder Technical Report Open
Recent advances in large language models (LLMs) have enabled progress in agentic coding, where models autonomously reason, plan, and act within interactive software development workflows. However, bridging the gap between static text-based…
View article: Dynamic Time-Difference QoS Guarantee in Satellite–Terrestrial Integrated Networks: An Online Learning-Based Resource Scheduling Scheme
Dynamic Time-Difference QoS Guarantee in Satellite–Terrestrial Integrated Networks: An Online Learning-Based Resource Scheduling Scheme Open
The rapid growth of low-Earth-orbit satellites has injected new vitality into future service provisioning. However, given the inherent volatility of network traffic, ensuring differentiated quality of service in highly dynamic networks rem…
View article: High Fidelity and Efficiency Simulator for 6G Integrated Space–Ground Network
High Fidelity and Efficiency Simulator for 6G Integrated Space–Ground Network Open
View article: Heightened effective connectivity of DLPFC-mPFC and DLPFC-ACC circuits in major depressive disorder with suicidal ideation: evidence from a TMS-EEG study
Heightened effective connectivity of DLPFC-mPFC and DLPFC-ACC circuits in major depressive disorder with suicidal ideation: evidence from a TMS-EEG study Open
View article: Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization
Polarforming Antenna Enhanced Sensing and Communication: Modeling and Optimization Open
In this paper, we propose a novel polarforming antenna (PA) to achieve cost-effective wireless sensing and communication. Specifically, the PA can enable polarforming to adaptively control the antenna's polarization electrically as well as…
View article: Hybrid-Field 6D Movable Antenna for Terahertz Communications: Channel Modeling and Estimation
Hybrid-Field 6D Movable Antenna for Terahertz Communications: Channel Modeling and Estimation Open
In this work, we study a six-dimensional movable antenna (6DMA)-enhanced Terahertz (THz) network that supports a large number of users with a few antennas by controlling the three-dimensional (3D) positions and 3D rotations of antenna surf…
View article: A Tutorial on Six-Dimensional Movable Antenna for 6G Networks: Synergizing Positionable and Rotatable Antennas
A Tutorial on Six-Dimensional Movable Antenna for 6G Networks: Synergizing Positionable and Rotatable Antennas Open
Six-dimensional movable antenna (6DMA) is a new and revolutionary technique that fully exploits the wireless channel spatial variations at the transmitter/receiver by flexibly adjusting the three-dimensional (3D) positions and/or 3D rotati…
View article: COGNITIVE ENHANCING EFFECT OF RTMS COMBINED WITH TDCS IN PATIENTS WITH MAJOR DEPRESSIVE DISORDER: A DOUBLE-BLIND, RANDOMIZED, SHAM-CONTROLLED STUDY
COGNITIVE ENHANCING EFFECT OF RTMS COMBINED WITH TDCS IN PATIENTS WITH MAJOR DEPRESSIVE DISORDER: A DOUBLE-BLIND, RANDOMIZED, SHAM-CONTROLLED STUDY Open
Background Cognitive dysfunction is one of the common symptoms in patients with major depressive disorder (MDD). Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) have been studied separ…
View article: Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding Open
Mobile edge computing (MEC) has empowered mobile devices (MDs) in supporting artificial intelligence (AI) applications through collaborative efforts with proximal MEC servers. Unfortunately, despite the great promise of device-edge coopera…
View article: Revolutionizing QoE-Driven Network Management with Digital Agent Technology in 6G
Revolutionizing QoE-Driven Network Management with Digital Agent Technology in 6G Open
View article: Revolutionizing QoE-Driven Network Management with Digital Agents in 6G
Revolutionizing QoE-Driven Network Management with Digital Agents in 6G Open
In this article, we present a digital agent (DA)-assisted network management framework for future sixth generation (6G) networks considering user quality of experience (QoE). A novel QoE metric is defined by incorporating the impact of use…
View article: Effect of combined treatment with transcranial direct current stimulation and repetitive transcranial magnetic stimulation compared to monotherapy for the treatment of chronic insomnia: a randomised, double-blind, parallel-group, controlled trial
Effect of combined treatment with transcranial direct current stimulation and repetitive transcranial magnetic stimulation compared to monotherapy for the treatment of chronic insomnia: a randomised, double-blind, parallel-group, controlled trial Open
This study was registered as a clinical trial with the China Clinical Trial Registration Center (ChiCTR2100052681).
View article: Transcranial Direct Current Stimulation Combined With Repetitive Transcranial Magnetic Stimulation for Depression
Transcranial Direct Current Stimulation Combined With Repetitive Transcranial Magnetic Stimulation for Depression Open
Importance Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are both recognized as effective treatments for depression when applied individually. However, it is unknown whether rTMS com…
View article: Digital Twin-Assisted Robust and Adaptive Resource Slicing in LEO Satellite Networks
Digital Twin-Assisted Robust and Adaptive Resource Slicing in LEO Satellite Networks Open
Resource slicing in low Earth orbit satellite networks (LSN) is essential to support diversified services. In this paper, we investigate a resource slicing problem in LSN to reserve resources in satellites to achieve efficient resource pro…
View article: User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin
User-centric Immersive Communications in 6G: A Data-oriented Framework via Digital Twin Open
In this article, we present a novel user-centric service provision for immersive communications (IC) in 6G to deal with the uncertainty of individual user behaviors while satisfying unique requirements on the quality of multi-sensory exper…
View article: Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks
Meta Learning Based Adaptive Cooperative Perception in Nonstationary Vehicular Networks Open
To accommodate high network dynamics in real-time cooperative perception (CP), reinforcement learning (RL) based adaptive CP schemes have been proposed, to allow adaptive switchings between CP and stand-alone perception modes among connect…
View article: Inhibitory Control, Impulsivity and Internet Addiction: Testing the Mediating Role of Oppositional Defiant Disorder Among ADHD Adolescents With and Without Gaming Disorder
Inhibitory Control, Impulsivity and Internet Addiction: Testing the Mediating Role of Oppositional Defiant Disorder Among ADHD Adolescents With and Without Gaming Disorder Open
Aims To test whether inhibitory control and impulsivity are significant predictor of Internet addiction in adolescents with ADHD and ADHD + GD and whether the relationship between inhibitory control/impulsivity and Internet addiction is me…
View article: Cognitive enhancing effect of rTMS combined with tDCS in patients with major depressive disorder: a double-blind, randomized, sham-controlled study
Cognitive enhancing effect of rTMS combined with tDCS in patients with major depressive disorder: a double-blind, randomized, sham-controlled study Open
View article: Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation Open
This paper explores the integration of active machine learning (ML) for 6G networks, an area that remains under-explored yet holds potential. Unlike passive ML systems, active ML can be made to interact with the network environment. It act…
View article: When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management
When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management Open
Generative artificial intelligence (GAI) and digital twin (DT) are advanced data processing and virtualization technologies to revolutionize communication networks. Thanks to the powerful data processing capabilities of GAI, integrating it…
View article: Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles Open
To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sensing and computing scheme among CAVs and road-side infrastr…
View article: Digital Twin Assisted Intelligent Network Management for Vehicular Applications
Digital Twin Assisted Intelligent Network Management for Vehicular Applications Open
The emerging data-driven methods based on artificial intelligence (AI) have paved the way for intelligent, flexible, and adaptive network management in vehicular applications. To enhance network management towards network automation, this …
View article: An Overview of VTS Technical Committees [President’s Message]
An Overview of VTS Technical Committees [President’s Message] Open
s you read in our last issue, we are excited to see what 2024 holds for the field of vehicular technology.In this article, we showcase the IEEE Vehicular Technology Society (VTS) technical committees in the fields of land transportation, m…
View article: Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection
Approximate Message Passing-Enhanced Graph Neural Network for OTFS Data Detection Open
Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to support high-mobility wireless communications, for which, cost-effective data detectors are critical. Although graph neural network (GNN)-based data d…
View article: Proceedings of the IEEE Publication Information
Proceedings of the IEEE Publication Information Open
View article: The Transactions on Intelligent Vehicles Information
The Transactions on Intelligent Vehicles Information Open
Field of Interest:The theoretical, experimental
View article: Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles
Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles Open
Cooperative perception (CP) is a key technology to facilitate consistent and accurate situational awareness for connected and autonomous vehicles (CAVs). To tackle the network resource inefficiency issue in traditional broadcast-based CP, …
View article: Proceedings of the IEEE Publication Information
Proceedings of the IEEE Publication Information Open
View article: Dual Chalcogenide Coordination Engineering for Boosting Hydrogen Evolution Reaction
Dual Chalcogenide Coordination Engineering for Boosting Hydrogen Evolution Reaction Open