Nan Cheng
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View article: Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS
Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS Open
Addressing the problem of Age of Information (AoI) deterioration caused by packet collisions and vehicle speed-related channel uncertainties in Semi-Persistent Scheduling (SPS) for the Internet of Vehicles (IoV), this letter proposes an op…
View article: UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks
UrbanMIMOMap: A Ray-Traced MIMO CSI Dataset with Precoding-Aware Maps and Benchmarks Open
Sixth generation (6G) systems require environment-aware communication, driven by native artificial intelligence (AI) and integrated sensing and communication (ISAC). Radio maps (RMs), providing spatially continuous channel information, are…
View article: Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks Open
In this paper, we consider the fair access problem and the Age of Information (AoI) under 5G New Radio (NR) Vehicle-to-Infrastructure (V2I) Mode 2 in vehicular networks. Specifically, vehicles follow Mode 2 to communicate with Roadside Uni…
View article: RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication
RadioDiff-3D: A 3D$\times$3D Radio Map Dataset and Generative Diffusion Based Benchmark for 6G Environment-Aware Communication Open
Radio maps (RMs) serve as a critical foundation for enabling environment-aware wireless communication, as they provide the spatial distribution of wireless channel characteristics. Despite recent progress in RM construction using data-driv…
View article: AI-based Environment-Aware XL-MIMO Channel Estimation with Location-Specific Prior Knowledge Enabled by CKM
AI-based Environment-Aware XL-MIMO Channel Estimation with Location-Specific Prior Knowledge Enabled by CKM Open
Accurate and efficient acquisition of wireless channel state information (CSI) is crucial to enhance the communication performance of wireless systems. However, with the continuous densification of wireless links, increased channel dimensi…
View article: On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach
On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach Open
The exponential growth of multimedia data traffic in 6G networks poses unprecedented challenges for immersive communication, where ultra-high-definition, multi-quality streaming must be delivered on demand while minimizing network operatio…
View article: Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission Open
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper proposes a true-and-false (T/F) frequency multiplexing based anti…
View article: RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction Open
View article: RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction Open
In this paper, we propose a novel physics-informed generative learning approach, named RadioDiff-$k^2$, for accurate and efficient multipath-aware radio map (RM) construction. As future wireless communication evolves towards environment-aw…
View article: Observation of mechanical kink control and generation via phonons
Observation of mechanical kink control and generation via phonons Open
Kinks (or domain walls) are localized transitions between distinct ground states associated with a topological invariant, and are central to many phenomena across physics, from condensed matter to cosmology. While phonon (i.e., small-ampli…
View article: Dynamic Virtual Simulation with Real-time Haptic Feedback for Robotic Internal Mammary Artery Harvesting
Dynamic Virtual Simulation with Real-time Haptic Feedback for Robotic Internal Mammary Artery Harvesting Open
Coronary heart disease, a leading global cause of mortality, has witnessed significant advancement through robotic coronary artery bypass grafting (CABG), with the internal mammary artery (IMA) emerging as the preferred "golden condui…
View article: Electrochemical sensor based on Pd@Nb <sub>2</sub>C nanocomposites for rapid and sensitive detection of ciprofloxacin
Electrochemical sensor based on Pd@Nb <sub>2</sub>C nanocomposites for rapid and sensitive detection of ciprofloxacin Open
This study introduced an electrochemical sensor for the rapid, sensitive, and accurate detection of ciprofloxacin (CIP). The sensor utilized a screen-printed carbon electrode (SPCE) modified with Pd@Nb2C nanocomposites, which were prepared…
View article: PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X
PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X Open
On-ramp merging presents a critical challenge in autonomous driving, as vehicles from merging lanes need to dynamically adjust their positions and speeds while monitoring traffic on the main road to prevent collisions. To address this chal…
View article: Quantitative Detection of Pericardial Adhesions Using 4D CT: A Novel Motion-Based Analysis Framework
Quantitative Detection of Pericardial Adhesions Using 4D CT: A Novel Motion-Based Analysis Framework Open
Objective: Pericardial adhesions can unexpectedly occur prior to cardiac surgery or catheter ablation, even in patients without known risk factors, potentially increasing procedural risks. This study proposes and validates a novel, quantit…
View article: QoE-oriented Communication Service Provision for Annotation Rendering in Mobile Augmented Reality
QoE-oriented Communication Service Provision for Annotation Rendering in Mobile Augmented Reality Open
As mobile augmented reality (MAR) continues to evolve, future 6G networks will play a pivotal role in supporting immersive and personalized user experiences. In this paper, we address the communication service provision problem for annotat…
View article: Symmetry-Driven Phenomena in Complex Media
Symmetry-Driven Phenomena in Complex Media Open
Physical laws are fundamentally governed by underlying symmetries, resulting in distinct behaviors across systems characterized by different symmetry groups. Recent advances in experimental techniques have enabled the synthesis of complex …
View article: A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G
A Comprehensive Survey of Knowledge-Driven Deep Learning for Intelligent Wireless Network Optimization in 6G Open
View article: DRL-based federated self-supervised learning for task offloading and resource allocation in ISAC-enabled vehicle edge computing
DRL-based federated self-supervised learning for task offloading and resource allocation in ISAC-enabled vehicle edge computing Open
Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles (IoV). This integration inevitably increases computing …
View article: V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario Open
This paper investigates distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenario under transportation cyber-physical system. Firstly, a centralized cooperative trajectory planning pr…
View article: Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles Open
The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of privacy leakage to vehicle users. Applying blockchain techn…
View article: Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion
Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion Open
Understanding the mechanisms behind neural network optimization is crucial for improving network design and performance. While various optimization techniques have been developed, a comprehensive understanding of the underlying principles …
View article: User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach
User-centric Service Provision for Edge-assisted Mobile AR: A Digital Twin-based Approach Open
Future 6G networks are envisioned to support mobile augmented reality (MAR) applications and provide customized immersive experiences for users via advanced service provision. In this paper, we investigate user-centric service provision fo…
View article: DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing Open
Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehicles (IoV). This integration inevitably increases computing …
View article: GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network Open
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of UAV trajectories in unknown areas or areas without suffici…
View article: DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV Open
In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving solution by aggregating local models without sharing data. Traditional supervised learning requires image data with labels, but data labeling involves…
View article: Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation Open
Vehicular edge computing (VEC) is an emerging technology with significant potential in the field of internet of vehicles (IoV), enabling vehicles to perform intensive computational tasks locally or offload them to nearby edge devices. Howe…
View article: Cramer-Rao Bound Minimization for Movable Antenna-Assisted Multiuser Integrated Sensing and Communications
Cramer-Rao Bound Minimization for Movable Antenna-Assisted Multiuser Integrated Sensing and Communications Open
This paper investigates a movable antenna (MA)-assisted multiuser integrated sensing and communication (ISAC) system, where the base station (BS) and communication users are all equipped with MA for improving both the sensing and communica…
View article: Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network Open
As a promising technology, vehicular edge computing (VEC) can provide computing and caching services by deploying VEC servers near vehicles. However, VEC networks still face challenges such as high vehicle mobility. Digital twin (DT), an e…
View article: Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications Open
In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, Cellular Vehicle-to-Everything (C-V2X) communication has attracted much attention due to its superior performance in coverage, latency, and throughput. Resource al…
View article: Enhancing Robustness and Security in ISAC Network Design: Leveraging Transmissive Reconfigurable Intelligent Surface with RSMA
Enhancing Robustness and Security in ISAC Network Design: Leveraging Transmissive Reconfigurable Intelligent Surface with RSMA Open
In this paper, we propose a novel transmissive reconfigurable intelligent surface transceiver-enhanced robust and secure integrated sensing and communication network. A time-division sensing communication mechanism is designed for the scen…