15 citations · 27 across the 14 of their papers we have counts for
17 papers
Adversarial Pilot Injection Against AI-Based CSI Feedback in FDD Massive MIMO Systems
Jinli Zhai, Yusen Wang, Qimei Cui +3
Artificial intelligence (AI)-based channel state information (CSI) feedback reduces overhead in frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) sys…
LoRa Fluid Antenna Multiple Access
Gaoze Mu, Yanzhao Hou, Peichang Zhang +4
Concurrent long-range (LoRa) transmissions over the same time-frequency and spreading factor (SF) resources generally result in packet collisions, as the gateway cannot distinguish…
From Ideal Motion to Flight-Executable Communications: LLM-Evolved Multi-UAV Deployment for Cell-Free Massive MIMO
Yuyao Wang, Gaoze Mu, Yongan Zheng +5
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a promising paradigm for future wireless networks, providing user-centric services and cooperative coverage. By using…
Wireless communication empowers online scheduling of partially-observable transportation multi-robot systems in a smart factory
Yaxin Liao, Qimei Cui, Kwang-Cheng Chen +5
Achieving agile and reconfigurable production flows in smart factories depends on online multi-robot task assignment (MRTA), which requires online collision-free and congestion-fre…
Coverage Performance Analysis of FAS-enhanced LoRa Wide Area Networks under both Co-SF and Inter-SF Interference
Gaoze Mu, Yanzhao Hou, Mingjie Chen +4
This paper presents an analytical framework for evaluating the coverage performance of the fluid antenna system (FAS)-enhanced LoRa wide-area networks (LoRaWANs). We investigate th…
Advancing LLM-Based Security Automation with Customized Group Relative Policy Optimization for Zero-Touch Networks
Xinye Cao, Yihan Lin, Guoshun Nan +9
Zero-Touch Networks (ZTNs) represent a transformative paradigm toward fully automated and intelligent network management, providing the scalability and adaptability required for th…
Sensing and Understanding the World over Air: A Large Multimodal Model for Mobile Networks
Zhuoran Duan, Yuhao Wei, Guoshun Nan +9
Large models (LMs), such as ChatGPT, have made a significant impact across diverse domains and hold great potential to facilitate the evolution of network intelligence. Wireless-na…
Agile Orchestration at Will: An Entire Smart Service-Based Security Architecture Towards 6G
Zhuoran Duan, Guoshun Nan, Rushan Li +8
The upcoming 6G will fundamentally reshape mobile networks beyond communications, unlocking a multitude of applications that were once considered unimaginable. Meanwhile, security…
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
Xiyu Zhao, Qimei Cui, Weicai Li +5
Personalized federated learning (PFL), e.g., the renowned Ditto, strikes a balance between personalization and generalization by conducting federated learning (FL) to guide persona…
A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
Xiyu Zhao, Qimei Cui, Wei Ni +5
The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can re…
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
Xiyu Zhao, Qimei Cui, Ziqiang Du +6
Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). L…
An LLM-based Self-Evolving Security Framework for 6G Space-Air-Ground Integrated Networks
Qi Qin, Xinye Cao, Guoshun Nan +8
Recently emerged 6G space-air-ground integrated networks (SAGINs), which integrate satellites, aerial networks, and terrestrial communications, offer ubiquitous coverage for variou…
SplitFrozen: Split Learning with Device-side Model Frozen for Fine-Tuning LLM on Heterogeneous Resource-Constrained Devices
Jian Ma, Xinchen Lyu, Jun Jiang +3
Fine-tuning large language models (LLMs) on private, on-device data can empower tailored personalized AI agents. However, fine-tuning LLMs on resource-constrained edge devices face…
220 GHz RIS-Aided Multi-user Terahertz Communication System: Prototype Design and Over-the-Air Experimental Trials
Yanzhao Hou, Guoning Wang, Chen Chen +4
Terahertz (THz) communication technology is regarded as a promising enabler for achieving ultra-high data rate transmission in next-generation communication systems. To mitigate th…
On Performance of LoRa Fluid Antenna Systems
Gaoze Mu, Yanzhao Hou, Kai-Kit Wong +4
This paper advocates a fluid antenna system (FAS)-assisted long-range communication (LoRa-FAS) for Internet-of-Things (IoT) applications. \textcolor{blue}{In the proposed system, F…
Semantic Entropy Can Simultaneously Benefit Transmission Efficiency and Channel Security of Wireless Semantic Communications
Yankai Rong, Guoshun Nan, Minwei Zhang +9
Recently proliferated deep learning-based semantic communications (DLSC) focus on how transmitted symbols efficiently convey a desired meaning to the destination. However, the sens…
3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
Chenyang Qiu, Yingsheng Geng, Junrui Lu +8
Network-based intrusion detection system (NIDS) monitors network traffic for malicious activities, forming the frontline defense against increasing attacks over information infrast…