Publications (61)
Error Rate and Power Allocation Analysis of Regenerative Networks under Generalized Fading Conditions
Mulugeta K. Fikadu, Paschalis C. Sofotasios, Mikko Valkama +3
Cooperative communication has been shown to provide significant increase of transmission reliability and network capacity while expanding coverage in cellular networks. The present…
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators
Jian Xiao, Ji Wang, Qimei Cui +4
Flexible intelligent metasurfaces (FIMs) offer a new solution for wireless communications by introducing morphological degrees of freedom, dynamically morphing their three-dimensio…
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…
Design and Analysis of Downlink Channel Estimation Based on Parametric Model for Massive MIMO in FDD Systems
Yinsheng Liu, Yinjun Liu, Qimei Cui +1
This paper investigates downlink channel estimation in frequency-division duplex (FDD)-based massive multiple-input multiple-output (MIMO) systems. To reduce the overhead of downli…
Optimal Allocation of Power Pool for Two-Cell Single-User Joint Transmission
Tong Zhang, Xiaodong Xu, Xiaofeng Tao +1
Joint transmission is a kind of cooperative transmission technology, which converts other cell interference into signal. In this letter, for single-user joint transmission, we prop…
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…
Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion
Yuhao Zhang, Zhiyan Cui, Qimei Cui +4
The split control and user plane is key to the future heterogeneous cellular network (HCN), where the small cells are dedicated for the most data transmission while the macrocells…
Event-triggered Online Proactive Network Association to Mobile Edge Computing for IoT
Jian Zhang, Qimei Cui, Xuefei Zhang +2
Ultra-low latency communication for mobile machines emerges as a critical technology in Internet of Things (IoT). Proactive network association has been suggested to support ultra-…
Energy Efficiency Maximization for CoMP Joint Transmission with Non-Ideal Power Amplifiers
Yuhao Zhang, Qimei Cui, Ning Wang
Coordinated multipoint (CoMP) joint transmission (JT) can save a great deal of energy especially for cell-edge users due to strengthened received signal, but at the cost of deployi…
Distributed Layered Grant-Free Non-Orthogonal Multiple Access for Massive MTC
Hui Jiang, Qimei Cui, Yu Gu +3
Grant-free transmission is considered as a promising technology to support sporadic data transmission in massive machine-type communications (mMTC). Due to the distributed manner,…
Energy Efficiency Maximization of Full-Duplex Two-Way Relay With Non-Ideal Power Amplifiers and Non-Negligible Circuit Power
Qimei Cui, Yuhao Zhang, Wei Ni +2
In this paper, we maximize the energy efficiency (EE) of full-duplex (FD) two-way relay (TWR) systems under non-ideal power amplifiers (PAs) and non-negligible transmission-depende…
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks
Zhenzhen Gong, Omar Hashash, Yingze Wang +4
In this paper, a novel joint energy and age of information (AoI) optimization framework for IoT devices in a non-stationary environment is presented. In particular, IoT devices tha…
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Hang Du, Sicheng Zhang, Binzhu Xie +16
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial…
Optimal Scheduling across Heterogeneous Air Interfaces of LTE/WiFi Aggregation
Yu Gu, Qimei Cui, Wei Ni +2
LTE/WiFi Aggregation (LWA) provides a promising approach to relieve data traffic congestion in licensed bands by leveraging unlicensed bands. Critical challenges arise from provisi…
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…
Optimal Pilot Symbols Ratio in terms of Spectrum and Energy Efficiency in Uplink CoMP Networks
Yuhao Zhang, Qimei Cui, Ning Wang
In wireless networks, Spectrum Efficiency (SE) and Energy Efficiency (EE) can be affected by the channel estimation that needs to be well designed in practice. In this paper, consi…
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…
Accurate Energy-Efficient Power Control for Uplink NOMA Systems under Delay Constraint
Bowen Cai, Yu Chen, Qimei Cui +2
Machine-type communications (MTC) devices in 5G will use the Non-orthogonal multiple access (NOMA) technology for massive connections. These devices switch between the transmission…
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…
Energy-aware Adaptive Spectrum Access and Power Allocation in LAA Networks via Lyapunov Optimization
Yu Gu, Qimei Cui, Yue Wang +1
To relieve the traffic burden and improve the system capacity, licensed-assisted access (LAA) has been becoming a promising technology to the supplementary utilization of the unlic…
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…
Advancing Expert Specialization for Better MoE
Hongcan Guo, Haolang Lu, Guoshun Nan +8
Mixture-of-Experts (MoE) models enable efficient scaling of large language models (LLMs) by activating only a subset of experts per input. However, we observe that the commonly use…
Game-Theoretic Optimization for Machine-Type Communications Under QoS Guarantee
Yu Gu, Qimei Cui, Qiang Ye +1
Massive machine-type communication (mMTC) is a new focus of services in fifth generation (5G) communication networks. The associated stringent delay requirement of end-to-end (E2E)…
Effective Capacity of Licensed-Assisted Access in Unlicensed Spectrum for 5G: From Theory to Application
Qimei Cui, Yu Gu, Wei Ni +1
License-assisted access (LAA) is a promising technology to offload dramatically increasing cellular traffic to unlicensed bands. Challenges arise from the provision of quality-of-s…
Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G
Chenyu Zhang, Xinchen Lyu, Chenshan Ren +2
Wireless foundation models offer a path toward reusable channel state information (CSI) intelligence for sixth-generation (6G) systems. However, existing generic-backbone adaptatio…
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…
HeterCSI: Channel-Adaptive Heterogeneous CSI Pretraining Framework for Generalized Wireless Foundation Models
Chenyu Zhang, Xinchen Lyu, Chenshan Ren +3
Wireless foundation models promise transformative capabilities for channel state information (CSI) processing across diverse 6G network applications, yet face fundamental challenge…
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…
ContextBLIP: Doubly Contextual Alignment for Contrastive Image Retrieval from Linguistically Complex Descriptions
Honglin Lin, Siyu Li, Guoshun Nan +8
Image retrieval from contextual descriptions (IRCD) aims to identify an image within a set of minimally contrastive candidates based on linguistically complex text. Despite the suc…
User Association for Offloading in Heterogeneous Network Based on Matern Cluster Process
Yuxuan Xie, Xuefei Zhang, Qimei Cui +1
Future mobile networks are converging toward heterogeneous multi-tier networks, where various classes of base stations (BS) are deployed based on user demand. So it is quite necess…
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…
Energy-Efficient Transmission of Hybrid Array with Non-Ideal Power Amplifiers and Circuitry
Yuhao Zhang, Qimei Cui, Wei Ni +1
This paper presents a new approach to efficiently maximizing the energy efficiency (EE) of hybrid arrays under a practical setting of non-ideal power amplifiers (PAs) and non-negli…
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
Guoshun Nan, Zhichun Li, Jinli Zhai +7
End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…
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…
When Vision-Language Model (VLM) Meets Beam Prediction: A Multimodal Contrastive Learning Framework
Ji Wang, Bin Tang, Jian Xiao +3
As the real propagation environment becomes in creasingly complex and dynamic, millimeter wave beam prediction faces huge challenges. However, the powerful cross modal representati…
Effective Capacity Analysis in Ultra-Dense Wireless Networks with Random Interference
Yu Gu, Qimei Cui, Yu Chen +3
Ultra-dense networks (UDNs) provide a promising paradigm to cope with exponentially increasing mobile traffic. However, little work has to date considered unsaturated traffic with…
Lifelong Learning for Minimizing Age of Information in Internet of Things Networks
Zhenzhen Gong, Qimei Cui, Christina Chaccour +3
In this paper, a lifelong learning problem is studied for an Internet of Things (IoT) system. In the considered model, each IoT device aims to balance its information freshness and…
Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
Chenyu Zhang, Xinchen Lyu, Chenshan Ren +2
Positional encoding plays a pivotal role in determin?ing the extrapolation and generalization performance of wireless foundation models for channel state information (CSI) modeling…
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Junlin Liu, Xinchen Lyu, Qimei Cui +1
Split learning is a promising paradigm for privacy-preserving distributed learning. The learning model can be cut into multiple portions to be collaboratively trained at the partic…
Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks
Yuhao Zhang, Qimei Cui, Ning Wang +2
In this paper, we propose Mapped Two-way Water Filling (MTWF) scheme to maximize Energy Efficiency (EE) for hybrid bursty services with Quality of Services (QoS) requirements in Tw…
Analytic performance evaluation of M-QAM based decode-and-forward relay networks over enriched multipath fading channels
Mulugeta K. Fikadu, Paschalis C. Sofotasios, Qimei Cui +1
This work is devoted to the analysis of a regenerative multi-node dual-hop cooperative system over enriched multipath fading channels. Novel analytic expressions are derived for 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…
Two-Timescale Learning for Pilot-Free ISAC Systems
Jian Xiao, Ji Wang, Qimei Cui +4
A pilot-free integrated sensing and communication (ISAC) system is investigated, in which phase-modulated continuous wave (PMCW) and non-orthogonal multiple access (NOMA) waveforms…
Energy-Efficient Adaptive Transmission in Machine Type Communications with Delay-Outage Constraints
Linlin Zou, Yanzhao Hou, Xiaofeng Tao +2
In this paper, we propose a novel Adaptive Transmission Strategy to improve energy efficiency~(EE) in a wireless point-to-point transmission system with Quality of Service~(QoS) re…
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…
Joint Multi-Cell Resource Allocation Using Pure Binary-Integer Programming for LTE Uplink
Tong Zhang, Xiaofeng Tao, Qimei Cui
Due to high system capacity requirement, 3GPP Long Term Evolution (LTE) is likely to adopt frequency reuse factor 1 at the cost of suffering severe inter-cell interference (ICI). O…
DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding
Hang Du, Guoshun Nan, Sicheng Zhang +6
Multimodal Sarcasm Understanding (MSU) has a wide range of applications in the news field such as public opinion analysis and forgery detection. However, existing MSU benchmarks an…
Energy-Efficient User Access Control and Resource Allocation in HCNs with Non-Ideal Circuitry
Yuhao Zhang, Qimei Cui, Ning Wang
In this paper, we study the energy-efficient user access control (UAC) based on resource allocation (RA) in heterogeneous cellular networks (HCNs) with the required downlink data r…
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong +6
Graph convolution networks (GCNs) are extensively utilized in various graph tasks to mine knowledge from spatial data. Our study marks the pioneering attempt to quantitatively inve…
Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications
Zeju Li, Xinghan Liu, Guoshun Nan +4
End-to-end semantic communication (ESC) system is able to improve communication efficiency by only transmitting the semantics of the input rather than raw bits. Although promising,…
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…
Learning Function-to-Function Mappings: A Fourier Neural Operator for Next-Generation MIMO Systems
Jian Xiao, Ji Wang, Qi Sun +4
Next-generation multiple-input multiple-output (MIMO) systems, characterized by extremely large-scale arrays, holographic surfaces, three-dimensional architectures, and flexible an…
Preserving Reliability to Heterogeneous Ultra-Dense Distributed Networks in Unlicensed Spectrum
Qimei Cui, Yu Gu, Wei Ni +4
This article investigates the prominent dilemma between capacity and reliability in heterogeneous ultra-dense distributed networks, and advocates a new measure of effective capacit…
Exact Error Analysis and Energy-Efficiency Optimization of Regenerative Relay Systems with Spatial Correlation
Mulugeta K. Fikadu, Paschalis C. Sofotasios, Qimei Cui +2
Energy efficiency and its optimization constitute critical tasks in the design of low-power wireless networks. The present work is devoted to the error rate analysis and energy-eff…
Reflection-Driven Self-Optimization 6G Agentic AI RAN via Simulation-in-the-Loop Workflows
Yunhao Hu, Xinchen Lyu, Chenshan Ren +3
The escalating complexity of sixth-generation (6G) networks demands unprecedented levels of autonomy beyond the capabilities of traditional optimization-based and current AI-based…
Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Qi Qin, Yankai Rong, Guoshun Nan +4
Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of t…
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…
FourierCompress: Layer-Aware Spectral Activation Compression for Efficient and Accurate Collaborative LLM Inference
Jian Ma, Xinchen Lyu, Jun Jiang +4
Collaborative large language model (LLM) inference enables real-time, privacy-preserving AI services on resource-constrained edge devices by partitioning computational workloads be…
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Xinghan Liu, Guoshun Nan, Qimei Cui +6
Recently proliferated semantic communications (SC) aim at effectively transmitting the semantics conveyed by the source and accurately interpreting the meaning at the destination.…
Use of Two-Mode Circuitry and Optimal Energy-Efficient Power Control Under Target Delay-Outage Constraints
Jinkun Xu, Yu Chen, Hao Chen +2
An accurate energy efficiency analytical model based on a two-mode circuitry was recently proposed; and the model showed that the use of this circuitry can significantly improve a…