3 citations · 9 across the 28 of their papers we have counts for
30 papers
Foundation Models for Wireless Localization: Pretraining, Adaptation, and Utilization
Guangjin Pan, Jiajia Guo, Zheng Xing +4
Accurate wireless localization is a key enabler for 6G networks, yet remains challenging under diverse and rapidly changing propagation conditions. Model-based methods degrade when…
Physics-Informed WiFi Sensing for Robust 3D Human Pose Estimation in Mobile and Cross-Environment Settings
Kaixuan Huang, Yuanbo Chen, Guangjin Pan +4
Device-free human pose estimation using commodity WiFi signals has emerged as a promising paradigm for pervasive sensing in mobile computing systems. However, existing approaches o…
RA-LWLM: Retrieval-Augmented In-Context Localization with Wireless Foundation Models
Guangjin Pan, Hui Chen, Hei Victor Cheng +1
Wireless localization is a fundamental capability of sixth-generation (6G) networks. Conventional model-based methods require accurate modeling of the propagation environment and d…
Survey-Free Radio Map Construction via HMM-Based Coarse-to-Fine Inference
Zheng Xing, Weibing Zhao, Guanghui Zhang +6
Traditional radio map construction methods mandate labor-intensive data collection and precise location labeling. To address these limitations, we propose a novel survey-free appro…
Active Inference-Enabled Agentic Closed-Loop ISAC with Long-Horizon Planning
Guangjin Pan, Zhuojun Tian, Mehdi Bennis +1
Wireless agentic systems enable agents to autonomously perceive, reason, and act. However, existing works neglect the tight coupling between sensing and control in closed-loop inte…
SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression
Zehang Lin, Miao Yang, Haihan Zhu +9
The growing complexity of neural networks hinders the deployment of distributed machine learning on resource-constrained devices. Split learning (SL) offers a promising solution by…
A Retrieval-Assisted Framework for Wireless Localization
Haoyu Huang, Guangjin Pan, Kaixuan Huang +5
Accurate and robust wireless localization is a key enabler for a wide range of mobile computing applications. Fingerprint-based localization using channel state information (CSI) h…
Sidelink Positioning: Standardization Advancements, Challenges and Opportunities
Yuan Gao, Guangjin Pan, Zhiyong Zhong +4
With the integration of cellular networks in vertical industries that demand precise location information, such as vehicle-to-everything (V2X), public safety, and Industrial Intern…
Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems
Guangjin Pan, Ayça Özçelikkale, Christian Häger +2
The growing integration of distributed integrated sensing and communication (ISAC) with closed-loop control in intelligent networks demands efficient information transmission under…
UNILocPro: Unified Localization Integrating Model-Based Geometry and Channel Charting
Yuhao Zhang, Guangjin Pan, Musa Furkan Keskin +3
In this paper, we propose a unified localization framework (called UNILocPro) that integrates model-based localization and channel charting (CC) for mixed line-of-sight (LoS)/non-l…
Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Guangjin Pan, Liping Bai, Zhuojun Tian +3
Integrated sensing and communication (ISAC) is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Exis…
Enhanced Fingerprint-based Positioning With Practical Imperfections: Deep learning-based approaches
Shugong Xu, Jun Jiang, Wenjun Yu +7
High-precision positioning is vital for cellular networks to support innovative applications such as extended reality, unmanned aerial vehicles (UAVs), and industrial Internet of T…
Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks
Guangjin Pan, Kaixuan Huang, Hui Chen +3
Accurate and robust localization is a critical enabler for emerging 5G and 6G applications, including autonomous driving, extended reality (XR), and smart manufacturing. While data…
A Unified QoS-Aware Multiplexing Framework for Next Generation Immersive Communication with Legacy Wireless Applications
Jihong Li, Shunqing Zhang, Tao Yu +7
Immersive communication, including emerging augmented reality, virtual reality, and holographic telepresence, has been identified as a key service for enabling next-generation wire…
Observation Compression in Rate-Limited Closed-Loop Distributed ISAC Systems: From Signal Reconstruction to Control
Guangjin Pan, Zhixing Li, Ayça Özçelikkale +3
In closed-loop distributed multi-sensor integrated sensing and communication (ISAC) systems, performance often hinges on transmitting high-dimensional sensor observations over rate…
UNILoc: Unified Localization Combining Model-Based Geometry and Unsupervised Learning
Yuhao Zhang, Guangjin Pan, Musa Furkan Keskin +3
Accurate mobile device localization is critical for emerging 5G/6G applications such as autonomous vehicles and augmented reality. In this paper, we propose a unified localization…
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Yanzan Sun, Jiacheng Qiu, Guangjin Pan +4
Extended reality (XR), blending virtual and real worlds, is a key application of future networks. While AI advancements enhance XR capabilities, they also impose significant comput…
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan, Yuan Gao, Yilin Gao +5
Wireless positioning technologies hold significant value for applications in autonomous driving, extended reality (XR), unmanned aerial vehicles (UAVs), and more. With the advancem…
Optimizing 5G-Advanced Networks for Time-critical Applications: The Role of L4S
Guangjin Pan, Shugong Xu, Pin Jiang
As 5G networks strive to support advanced time-critical applications, such as immersive Extended Reality (XR), cloud gaming, and autonomous driving, the demand for Real-time Broadb…
Quality of Experience Optimization for Real-time XR Video Transmission with Energy Constraints
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended Reality (XR) is an important service in the 5G network and in future 6G networks. In contrast to traditional video on demand services, real-time XR video is transmitted fr…
Quality of Experience Oriented Cross-layer Optimization for Real-time XR Video Transmission
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of beyond 5G and 6G networks. Real-time XR video transmission presents challenges in terms of data rate and delay. I…
Real-time Extended Reality Video Transmission Optimization Based on Frame-priority Scheduling
Guangjin Pan, Shugong Xu, Shunqing Zhang +2
Extended reality (XR) is one of the most important applications of 5G. For real-time XR video transmission in 5G networks, a low latency and high data rate are required. In this pa…
End-to-End Delay Minimization based on Joint Optimization of DNN Partitioning and Resource Allocation for Cooperative Edge Inference
Xinrui Ye, Yanzan Sun, Dingzhu Wen +2
Cooperative inference in Mobile Edge Computing (MEC), achieved by deploying partitioned Deep Neural Network (DNN) models between resource-constrained user equipments (UEs) and edge…
Joint Optimization of Video-based AI Inference Tasks in MEC-assisted Augmented Reality Systems
Guangjin Pan, Heng Zhang, Shugong Xu +2
The high computational complexity and energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. However, mobile edge…