Publications (158)
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation
Kangwei Qi, Qiong Wu, Pingyi Fan +3
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…
Shannon Shakes Hands with Chernoff: Big Data Viewpoint On Channel Information Measures
Shanyun Liu, Rui She, Jiaxun Lu +1
Shannon entropy is the most crucial foundation of Information Theory, which has been proven to be effective in many fields such as communications. Renyi entropy and Chernoff inform…
Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles
Cui Zhang, Maoxin Ji, Qiong Wu +2
As Internet of Vehicles (IoV) technology continues to advance, edge computing has become an important tool for assisting vehicles in handling complex tasks. However, the process of…
Uplink Age of Information of Unilaterally Powered Two-way Data Exchanging Systems
Yunquan Dong, Zhengchuan Chen, Pingyi Fan
We consider a two-way data exchanging system where a master node transfers energy and data packets to a slave node alternatively. The slave node harvests the transferred energy and…
FISHER: A Foundation Model for Multi-Modal Industrial Signal Comprehensive Representation
Pingyi Fan, Anbai Jiang, Shuwei Zhang +9
Industrial signal analysis is hindered by severe data heterogeneity, which we characterize as the M5 problem. Existing solutions rely on specialized models that lack robustness and…
Outage Probability of Energy Harvesting Relay-aided Cooperative Networks Over Rayleigh Fading Channel
Tao Li, Pingyi Fan, Khaled Ben Letaief
Energy harvesting technique is a potential way for relay node energy supply in cooperative networks in terms of deployment flexibility and maintain charge reduction. Unlike traditi…
Every-user delay guarantee for wireless multiple access systems
Chuang Zhang, Pingyi Fan, Ke Xiong +1
The quality of service (QoS) requirements are usually different from user to user in a multiaccess system, and it is necessary to take the different requirements into account when…
Intelligent networking with Mobile Edge Computing: Vision and Challenges for Dynamic Network Scheduling
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Mobile edge computing (MEC) has been considered as a promising technique for internet of things (IoT). By deploying edge servers at the proximity of devices, it is expected to prov…
How Many Samples Required in Big Data Collection: A Differential Message Importance Measure
Shanyun Liu, Rui She, Pingyi Fan
Information collection is a fundamental problem in big data, where the size of sampling sets plays a very important role. This work considers the information collection process by…
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Shuo Wan, Jiaxun Lu, Pingyi Fan +3
Federated learning (FL) has recently emerged as an important and promising learning scheme in IoT, enabling devices to jointly learn a model without sharing their raw data sets. Ho…
DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
Xueying Gu, Qiong Wu, Pingyi Fan +3
Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehic…
Towards Big data processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Heavy data load and wide cover range have always been crucial problems for online data processing in internet of things (IoT). Recently, mobile-edge computing (MEC) and unmanned ae…
Satellite NOMA for Direct-to-Cell Communications: Fundamentals, Protocols, and Opportunities
Xiangyu Li, Bodong Shang, Junchao Ma +3
Direct-to-cell (DTC) satellite communication is regarded as one of the most recent technologies that provides global connectivity. However, with the growing number of wireless user…
Focusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data
Rui She, Shanyun Liu, Yunquan Dong +1
Message importance measure (MIM) is applicable to characterize the importance of information in the scenario of big data, similar to entropy in information theory. In fact, MIM wit…
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
Zhiyu Shao, Qiong Wu, Pingyi Fan +4
This work aims to investigate semantic communication in high-speed mobile Internet of vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to-vehicle (…
Deploying Multiple Antennas on High-speed Trains: Equidistant Strategy v.s. Fixed-Interval Strategy
Yang Lu, Ke Xiong, Pingyi Fan +1
Deploying multiple antennas on high speed trains is an effective way to enhance the information transmission performance for high speed railway (HSR) wireless communication systems…
Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks
Xiao Xu, Qiong Wu, Pingyi Fan +1
Vehicle-to-Infrastructure (V2I) technology enables information exchange between vehicles and road infrastructure. Specifically, when a vehicle approaches a roadside unit (RSU), it…
Time-dependent Performance Analysis of the 802.11p-based Platooning Communications Under Disturbance
Qiong Wu, Hongmei Ge, Pingyi Fan +3
Platooning is a critical technology to realize autonomous driving. Each vehicle in platoons adopts the IEEE 802.11p standard to exchange information through communications to maint…
PPO-Based Hybrid Optimization for RIS-Assisted Semantic Vehicular Edge Computing
Wei Feng, Jingbo Zhang, Qiong Wu +2
To support latency-sensitive Internet of Vehicles (IoV) applications amidst dynamic environments and intermittent links, this paper proposes a Reconfigurable Intelligent Surface (R…
Age of Information of CSMA/CA Based Wireless Networks
Liang Li, Yunquan Dong, Chengsheng Pan +1
We consider a wireless network where N nodes compete for a shared channel over the CSMA/CA protocol to deliver observed updates to a common remote monitor. For this network, we rat…
URLLC-Awared Resource Allocation for Heterogeneous Vehicular Edge Computing
Qiong Wu, Wenhua Wang, Pingyi Fan +3
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular applications, where vehicles offload intensive computation tasks to the nearby VEC server fo…
Machine Learning Based Prediction and Classification of Computational Jobs in Cloud Computing Centers
Zheqi Zhu, Pingyi Fan
With the rapid growth of the data volume and the fast increasing of the computational model complexity in the scenario of cloud computing, it becomes an important topic that how to…
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning
Shulin Song, Zheng Zhang, Qiong Wu +2
Autonomous driving may be the most important application scenario of next generation, the development of wireless access technologies enabling reliable and low-latency vehicle comm…
FedNC: A Secure and Efficient Federated Learning Method with Network Coding
Yuchen Shi, Zheqi Zhu, Pingyi Fan +2
Federated Learning (FL) is a promising distributed learning mechanism which still faces two major challenges, namely privacy breaches and system efficiency. In this work, we reconc…
Beyond Empirical Models: Pattern Formation Driven Placement of UAV Base Stations
Jiaxun Lu, Shuo Wan, Xuhong Chen +3
This work considers the placement of unmanned aerial vehicle base stations (UAV-BSs) with criterion of minimum UAV-recall-frequency (UAV-RF), indicating the energy efficiency of mo…
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV
Zheng Zhang, Qiong Wu, Pingyi Fan +3
To address communication latency issues, the Third Generation Partnership Project (3GPP) has defined Cellular-Vehicle to Everything (C-V2X) technology, which includes Vehicle-to-Ve…
AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection
Anbai Jiang, Bing Han, Zhiqiang Lv +6
Large pre-trained models have demonstrated dominant performances in multiple areas, where the consistency between pre-training and fine-tuning is the key to success. However, few w…
Optimal Design of SWIPT-Aware Fog Computing Networks
Jingxian Liu, Ke Xiong, Pingyi Fan +2
This paper studies a simultaneous wireless information and power transfer (SWIPT)-aware fog computing network, where a multiple antenna fog function integrated hybrid access point…
EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
Yuchen Shi, Qijun Hou, Pingyi Fan +1
Federated Learning (FL) has emerged as a transformative distributed learning paradigm in the era of Internet of Things (IoT), reconceptualizing data processing methodologies. Howev…
Optimal Online Transmission Policy in Wireless Powered Networks with Urgency-aware Age of Information
Yang Lu, Ke Xiong, Pingyi Fan +2
This paper investigates the age of information (AoI) for a radio frequency (RF) energy harvesting (EH) enabled network, where a sensor first scavenges energy from a wireless power…
Network Coding Tree Algorithm for Multiple Access System
Zhengchuan Chen, Ke Xiong, Pingyi Fan +1
Network coding is famous for significantly improving the throughput of networks. The successful decoding of the network coded data relies on some side information of the original d…
Minor probability events detection in big data: An integrated approach with Bayesian testing and MIM
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
The minor probability events detection is a crucial problem in Big data. Such events tend to include rarely occurring phenomenons which should be detected and monitored carefully.…
Semi-centralized control for multi-robot formation and theoretical lower bound
Shuo Wan, Jiaxun Lu, Pingyi Fan +1
Multi-robot formation control enables robots to cooperate as a working group in completing complex tasks, which has been widely used in both civilian and military scenarios. Before…
Improving Anomalous Sound Detection via Low-Rank Adaptation Fine-Tuning of Pre-Trained Audio Models
Xinhu Zheng, Anbai Jiang, Bing Han +4
Anomalous Sound Detection (ASD) has gained significant interest through the application of various Artificial Intelligence (AI) technologies in industrial settings. Though possessi…
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
Cui Zhang, Xiao Xu, Qiong Wu +4
In vehicle edge computing (VEC), asynchronous federated learning (AFL) is used, where the edge receives a local model and updates the global model, effectively reducing the global…
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
Yu Xie, Qiong Wu, Pingyi Fan +4
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 challe…
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method
Qiong Wu, Shuai Shi, Ziyang Wan +3
Vehicles on the road exchange data with base station (BS) frequently through vehicle to infrastructure (V2I) communications to ensure the normal use of vehicular applications, wher…
Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV
Maoxin Ji, Qiong Wu, Pingyi Fan +4
This paper investigates a multi-Unmanned Aerial Vehicle (UAV) joint base station-assisted Internet of Vehicles (IoV) task offloading system in dense urban environments. To minimize…
Asynchronous Federated Learning for Edge-assisted Vehicular Networks
Siyuan Wang, Qiong Wu, Qiang Fan +2
Vehicular networks enable vehicles support real-time vehicular applications through training data. Due to the limited computing capability, vehicles usually transmit data to a road…
Capacity Region of Gaussian Multiple-Access Channels with Energy Harvesting and Energy Cooperation
Yunquan Dong, Zhengchuan Chen, Pingyi Fan
We consider the capacity region of a -user multiple access channel (MAC) with energy harvesting transmitters. Each user stores and schedules the randomly arriving energy using a…
A Survey on Semantic Communications in Internet of Vehicles
Sha Ye, Qiong Wu, Pingyi Fan +1
Internet of Vehicles (IoV), as the core of intelligent transportation system, enables comprehensive interconnection between vehicles and their surroundings through multiple communi…
High Speed Railway Wireless Communications: Efficiency v.s. Fairness
Yunquan Dong, Pingyi Fan, Khaled Ben Letaief
High speed railways (HSRs) have been deployed widely all over the world in recent years. Different from traditional cellular communication, its high mobility makes it essential to…
Importance of Small Probability Events in Big Data: Information Measures, Applications, and Challenges
Rui She, Shanyun Liu, Shuo Wan +2
In many applications (e.g., anomaly detection and security systems) of smart cities, rare events dominate the importance of the total information of big data collected by Internet…
Blockchain-Enabled Variational Information Bottleneck for IoT Networks
Qiong Wu, Le Kuai, Pingyi Fan +3
In Internet of Things (IoT) networks, the amount of data sensed by user devices may be huge, resulting in the serious network congestion. To solve this problem, intelligent data co…
FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
Qijun Hou, Yuchen Shi, Pingyi Fan +1
Federated Learning (FL) facilitates collaborative model training across decentralized clients while preserving data privacy by avoiding raw data exchange. Despite its potential, FL…
Remote Antenna Unit Selection Assisted Seamless Handover for High-Speed Railway Communications with Distributed Antennas
Yang Lu, Ke Xiong, Zhuyan Zhao +2
To attain seamless handover and reduce the han- dover failure probability for high-speed railway (HSR) com- munication systems, this paper proposes a remote antenna unit (RAU) sele…
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks
Qiong Wu, Xiaobo Wang, Qiang Fan +3
Federated edge learning (FEEL) technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users. In t…
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network
Qiong Wu, Wenhua Wang, Pingyi Fan +3
Edge caching is a promising solution for next-generation networks by empowering caching units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users'…
Time-Switching Based SWIPT for Network-Coded Two-Way Relay Transmission with Data Rate Fairness
Ke Xiong, Pingyi Fan, Khaled Ben Letaief
This paper investigates the simultaneous wireless power and information transfer (SWPIT) for network-coded two-way re- lay transmission from an information theoretical viewpoint, w…
QoS-distinguished Achievable Rate Region for High Speed Railway Wireless Communications
Tao Li, Pingyi Fan, Ke Xiong +1
In high speed railways (HSRs) communication system, when a train travels along the railway with high velocity, the wireless channel between the train and base station varies strenu…
V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario
Qiong Wu, Jiahou Chu, Pingyi Fan +4
This paper investigates distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenario under transportation cyber-physical system…
An Importance Aware Weighted Coding Theorem Using Message Importance Measure
Zheqi Zhu, Shanyun Liu, Rui She +3
There are numerous scenarios in source coding where not only the code length but the importance of each value should also be taken into account. Different from the traditional codi…
Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization
Shanyun Liu, Rui She, Pingyi Fan
Data collection is a fundamental problem in the scenario of big data, where the size of sampling sets plays a very important role, especially in the characterization of data struct…
Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles
Cui Zhang, Wenjun Zhang, Qiong Wu +4
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…
A GAN-based Semantic Communication for Text without CSI
Jin Mao, Ke Xiong, Ming Liu +4
Recently, semantic communication (SC) has been regarded as one of the potential paradigms of 6G. Current SC frameworks require channel state information (CSI) to handle severe sign…
LLM-Empowered Cooperative Content Caching in Vehicular Fog Caching-Assisted Platoon Networks
Bowen Tan, Qiong Wu, Pingyi Fan +3
This letter proposes a novel three-tier content caching architecture for Vehicular Fog Caching (VFC)-assisted platoon, where the VFC is formed by the vehicles driving near the plat…
Velocity-Adaptive Access Scheme for Semantic-Aware Vehicular Networks: Joint Fairness and AoI Optimization
Xiao Xu, Qiong Wu, Pingyi Fan +4
In this paper, we address the problem of fair access and Age of Information (AoI) optimization in 5G New Radio (NR) Vehicle to Everything (V2X) Mode 2. Specifically, vehicles need…
Storage Space Allocation Strategy for Digital Data with Message Importance
Shanyun Liu, Rui She, Zheqi Zhu +1
This paper mainly focuses on the problem of lossy compression storage from the perspective of message importance when the reconstructed data pursues the least distortion within lim…
Tracking Angles of Departure and Arrival in a Mobile Millimeter Wave Channel
Chuang Zhang, Dongning Guo, Pingyi Fan
Millimeter wave provides a very promising approach for meeting the ever-growing traffic demand in next generation wireless networks. To utilize this band, it is crucial to obtain t…
Energy-efficient 3D UAV-BS Placement Versus Mobile Users' Density and Circuit Power
Jiaxun Lu, Shuo Wan, Xuhong Chen +1
Properly 3D placement of unmanned aerial vehicle mounted base stations (UAV-BSs) can effectively prolong the life-time of the mobile ad hoc network, since UAVs are usually powered…
Group Cooperation with Optimal Resource Allocation in Wireless Powered Communication Networks
Ke Xiong, Chen Chen, Gang Qu +2
This paper considers a wireless powered communication network (WPCN) with group cooperation, where two communication groups cooperate with each other via wireless power transfer an…
Efficient Signal-Time Coding Design and its Application in Wireless Gaussian Relay Networks
Pingyi Fan, Pei Sun, Khaled Ben Letaief
Signal-time coding, which combines the traditional encoding/modulation mode in the signal domain with signal pulse phase modulation in the time domain, was proposed to improve the…
Joint Channel Probing and Proportional Fair Scheduling in Wireless Networks
Hui Zhou, Pingyi Fan, Dongning Guo
The design of a scheduling scheme is crucial for the efficiency and user-fairness of wireless networks. Assuming that the quality of all user channels is available to a central con…
EXK-SC: A Semantic Communication Model Based on Information Framework Expansion and Knowledge Collision
Gangtao Xin, Pingyi Fan
Semantic communication is not focused on improving the accuracy of transmitted symbols, but is concerned with expressing the expected meaning that the symbol sequence exactly carri…
Fog-Assisted Multi-User SWIPT Networks: Local Computing or Offloading
Haina Zheng, Ke Xiong, Pingyi Fan +2
This paper investigates a fog computing-assisted multi-user simultaneous wireless information and power transfer (SWIPT) network, where multiple sensors with power splitting (PS) r…
Decentralized Power Allocation for MIMO-NOMA Vehicular Edge Computing Based on Deep Reinforcement Learning
Hongbiao Zhu, Qiong Wu, Xiaojun Wu +3
Vehicular edge computing (VEC) is envisioned as a promising approach to process the explosive computation tasks of vehicular user (VU). In the VEC system, each VU allocates power t…
Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS
Maoxin Ji, Tong Wang, Qiong Wu +3
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…
Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks
Xiao Xu, Qiong Wu, Pingyi Fan +4
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. Specifical…
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning
Zheqi Zhu, Yuchen Shi, Jiajun Luo +4
Federated learning (FL) has prevailed as an efficient and privacy-preserved scheme for distributed learning. In this work, we mainly focus on the optimization of computation and co…
Optimum Transmission Policies for Energy Harvesting Sensor Networks Powered By a Mobile Control Center
Tao Li, Pingyi Fan, Zhengchuan Chen +1
Wireless energy transfer, namely RF-based energy harvesting, is a potential way to prolong the lifetime of energy-constrained devices, especially in wireless sensor networks. Howev…
Vehicle Selection for C-V2X Mode 4 Based Federated Edge Learning Systems
Qiong Wu, Xiaobo Wang, Pingyi Fan +3
Federated learning (FL) is a promising technology for vehicular networks to protect vehicles' privacy in Internet of Vehicles (IoV). Vehicles with limited computation capacity may…
Energy Consumption Minimization in Secure Multi-antenna UAV-assisted MEC Networks with Channel Uncertainty
Weihao Mao, Ke Xiong, Yang Lu +2
This paper investigates the robust and secure task transmission and computation scheme in multi-antenna unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks,…
Exploring Self-Supervised Audio Models for Generalized Anomalous Sound Detection
Bing Han, Anbai Jiang, Xinhu Zheng +4
Machine anomalous sound detection (ASD) is a valuable technique across various applications. However, its generalization performance is often limited due to challenges in data coll…
New-Type Hoeffding's Inequalities and Application in Tail Bounds
Pingyi Fan
It is well known that Hoeffding's inequality has a lot of applications in the signal and information processing fields. How to improve Hoeffding's inequality and find the refinemen…
Mobility-Aware Federated Self-supervised Learning in Vehicular Network
Xueying Gu, Qiong Wu, Pingyi Fan +1
Federated Learning (FL) is an advanced distributed machine learning approach, that protects the privacy of each vehicle by allowing the model to be trained on multiple devices simu…
Simultaneous Wireless Information and Power Transfer in Cooperative Relay Networks with Rateless Codes
Xiaofei Di, Ke Xiong, Pingyi Fan +1
This paper investigates the simultaneous wireless information and power transfer (SWIPT) in cooperative relay networks, where a relay harvests energy from the radio frequency (RF)…
Mobility-Aware Uplink Interference Model for 5G Heterogeneous Networks
Yunquan Dong, Zhi Chen, Pingyi Fan +1
To meet the surging demand for throughput, 5G cellular networks need to be more heterogeneous and much denser, by deploying more and more small cells. In particular, the number of…
Amplifying Inter-message Distance: On Information Divergence Measures in Big Data
Rui She, Shanyun Liu, Pingyi Fan
Message identification (M-I) divergence is an important measure of the information distance between probability distributions, similar to Kullback-Leibler (K-L) and Renyi divergenc…
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV
Xueying Gu, Qiong Wu, Pingyi Fan +4
In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving solution by aggregating local models without sharing data. Traditional supervised learning…
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks
Rui She, Pingyi Fan
In order to introduce deep learning technologies into anomaly detection, Generative Adversarial Networks (GANs) are considered as important roles in the algorithm design and realis…
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems
Hongbiao Zhu, Qiong Wu, Qiang Fan +3
Multi-input multi-out and non-orthogonal multiple access (MIMO-NOMA) internet-of-things (IoT) systems can improve channel capacity and spectrum efficiency distinctly to support the…
Queueing Analysis for Block Fading Rayleigh Channels in the Low SNR Regime
Yunquan Dong, Pingyi Fan
Wireless fading channels suffer from both channel fadings and Additive White Gaussian Noise (AWGN). As a result, it is impossible for fading channels to support a constant rate dat…
Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
Zheqi Zhu, Shuo Wan, Pingyi Fan +1
As an emerging technique, mobile edge computing (MEC) introduces a new processing scheme for various distributed communication-computing systems such as industrial Internet of Thin…
Velocity-adaptive Access Scheme for MEC-assisted Platooning Networks: Access Fairness Via Data Freshness
Qiong Wu, Ziyang Wan, Qiang Fan +2
Platooning strategy is an important part of autonomous driving technology. Due to the limited resource of autonomous vehicles in platoons, mobile edge computing (MEC) is usually us…
Channel Service Based High Speed Railway Base Station Arrangement
Chuang Zhang, Pingyi Fan, Yunquan Dong +1
With the rapid development of high-speed railways, demands on high mobility wireless communication increase greatly. To provide stable and high data rate wireless access for users…
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
Jingbo Zhang, Qiong Wu, Pingyi Fan +1
Federated Edge Learning (FEL), an emerging distributed Machine Learning (ML) paradigm, enables model training in a distributed environment while ensuring user privacy by using phys…
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
Qiong Wu, Siyuan Wang, Pingyi Fan +1
In the traditional vehicular network, computing tasks generated by the vehicles are usually uploaded to the cloud for processing. However, since task offloading toward the cloud wi…
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
Maoxin Ji, Qiong Wu, Pingyi Fan +4
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 pe…
CoopASD: Cooperative Machine Anomalous Sound Detection with Privacy Concerns
Anbai Jiang, Yuchen Shi, Pingyi Fan +2
Machine anomalous sound detection (ASD) has emerged as one of the most promising applications in the Industrial Internet of Things (IIoT) due to its unprecedented efficacy in mitig…
Weighted Sum-Throughput Maximization for MIMO Broadcast Channel: Energy Harvesting Under System Imperfection
Zhi Chen, Pingyi Fan, Dapeng Oliver Wu +1
In this work, a MIMO broadcast channel under the energy harvesting (EH) constraint and the peak power constraint is investigated. The transmitter is equipped with a hybrid energy s…
Low-complexity Location-aware Multi-user Massive MIMO Beamforming for High Speed Train Communications
Xuhong Chen, Pingyi Fan
Massive Multiple-input Multiple-output (MIMO) adaption is one of the primary evolving objectives for the next generation high speed train (HST) communication system. In this paper,…
6D Movable Antenna for Internet of Vehicles: CSI-Free Dynamic Antenna Configuration
Maoxin Ji, Qiong Wu, Pingyi Fan +3
Deploying six-dimensional movable antenna (6DMA) systems in Internet-of-Vehicles (IoV) scenarios can greatly enhance spectral efficiency. However, the high mobility of vehicles cau…
PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems
Wei Sun, Yijun Chen, Bo Gao +4
Federated learning (FL) is vulnerable to data poisoning attacks due to its distributed nature. Although recent GAN-based data poisoning methods have indicated the potential of usin…
A Swarming Approach to Optimize the One-hop Delay in Smart Driving Inter-platoon Communications
Qiong Wu, Shuzhen Nie, Pingyi Fan +3
In this paper, we propose a swarming approach and optimize the one-hop delay for interplatoon communications through adjusting the minimum contention window size of each backbone v…
Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention
Qijun Hou, Yuchen Shi, Pingyi Fan +1
Federated learning relies on effective client selection to alleviate the performance degradation caused by data heterogeneity. Most existing methods assume full visibility of all c…
State Variation Mining: On Information Divergence with Message Importance in Big Data
Rui She, Shanyun Liu, Pingyi Fan
Information transfer which reveals the state variation of variables usually plays a vital role in big data analytics and processing. In fact, the measures for information transfer…
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling
Zheqi Zhu, Yuchen Shi, Pingyi Fan +2
As a promising learning paradigm integrating computation and communication, federated learning (FL) proceeds the local training and the periodic sharing from distributed clients. D…
Soft Compression for Lossless Image Coding
Gangtao Xin, Pingyi Fan
Soft compression is a lossless image compression method, which is committed to eliminating coding redundancy and spatial redundancy at the same time by adopting locations and shape…
Single-Step Six-Dimensional Movable Antenna Reconfiguration for High-Mobility IoV: Modeling, Analysis, and Optimization
Maoxin Ji, Qiong Wu, Pingyi Fan +4
The Six-Dimensional Movable Antenna (6DMA) system has emerged as a promising technology to enhance wireless capacity by fully exploiting spatial degrees of freedom. However, applyi…
Position-aided Large-scale MIMO Channel Estimation for High-Speed Railway Communication Systems
Tao Li, Xiaodong Wang, Pingyi Fan +1
We consider channel estimation for high-speed railway communication systems, where both the transmitter and the receiver are equipped with large-scale antenna arrays. It is known t…