590 citations · 1.9k across the 75 of their papers we have counts for
76 papers
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
Li Dong, Yubo Peng, Feibo Jiang +2
In fire surveillance, Industrial Internet of Things (IIoT) devices require transmitting large monitoring data frequently, which leads to huge consumption of spectrum resources. Hen…
Large AI Model Empowered Multimodal Semantic Communications
Feibo Jiang, Li Dong, Yubo Peng +4
Multimodal signals, including text, audio, image, and video, can be integrated into Semantic Communication (SC) systems to provide an immersive experience with low latency and high…
LAMBO: Large AI Model Empowered Edge Intelligence
Li Dong, Feibo Jiang, Yubo Peng +4
Next-generation edge intelligence is anticipated to benefit various applications via offloading techniques. However, traditional offloading architectures face several issues, inclu…
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning
Yao Wen, Guopeng Zhang, Kezhi Wang +1
To alleviate the shortage of computing power faced by clients in training deep neural networks (DNNs) using federated learning (FL), we leverage the edge computing and split learni…
Large AI Model-Based Semantic Communications
Feibo Jiang, Yubo Peng, Li Dong +4
Semantic communication (SC) is an emerging intelligent paradigm, offering solutions for various future applications like metaverse, mixed reality, and the Internet of Everything. H…
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets
Na Yan, Kezhi Wang, Cunhua Pan +3
To jointly overcome the communication bottleneck and privacy leakage of wireless federated learning (FL), this paper studies a differentially private over-the-air federated averagi…
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
Musbahu Mohammed Adam, Liqiang Zhao, Kezhi Wang +1
In recent years, the exponential proliferation of smart devices with their intelligent applications poses severe challenges on conventional cellular networks. Such challenges can b…
Device Scheduling for Over-the-Air Federated Learning with Differential Privacy
Na Yan, Kezhi Wang, Cunhua Pan +1
In this paper, we propose a device scheduling scheme for differentially private over-the-air federated learning (DP-OTA-FL) systems, referred to as S-DPOTAFL, where the privacy of…
Joint Optimization of Deployment and Trajectory in UAV and IRS-Assisted IoT Data Collection System
Li Dong, Zhibin Liu, Feibo Jiang +1
Unmanned aerial vehicles (UAVs) can be applied in many Internet of Things (IoT) systems, e.g., smart farms, as a data collection platform. However, the UAV-IoT wireless channels ma…
Toward Secure and Private Over-the-Air Federated Learning
Na Yan, Kezhi Wang, Kangda Zhi +3
In this paper, a novel secure and private over-the-air federated learning (SP-OTA-FL) framework is studied where noise is employed to protect data privacy and system security. Spec…
Secrecy Performance Analysis of RIS-aided Communication System with Randomly Flying Eavesdroppers
Lai Wei, Kezhi Wang, Cunhua Pan +1
In this letter, we analyze the secrecy performance of a reconfigurable intelligent surface (RIS)-aided communication system with spatially random unmanned aerial vehicles (UAVs) ac…
Task-load-Aware Game-Theoretic Framework for Wireless Federated Learning
Jiawei Liu, Guopeng Zhang, Kezhi Wang +1
Federated learning (FL) has been proposed as a popular learning framework to protect the users' data privacy but it has difficulties in motivating the users to participate in task…
Joint Program Partitioning and Resource Allocation for Completion Time Minimization in Multi-MEC Systems
Taizhou Yi, Guopeng Zhang, Kezhi Wang +1
This paper considers a practical mobile edge computing (MEC) system, where edge server does not pre-install the program required to perform user offloaded computing tasks. A partia…
Long-Term CSI-based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning
Hong Ren, Cunhua Pan, Liang Wang +2
In this paper, we study the transmission design for reconfigurable intelligent surface (RIS)-aided multiuser communication networks. Different from most of the existing contributio…
Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments
Jianxin Dai, Feng Zhu, Cunhua Pan +2
We consider a reconfigurable intelligent surface (RIS)-aided massive multi-user multiple-input multiple-output (MIMO) communication system with transceiver hardware impairments (HW…
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart Cities
Muhammad Khalid, Liang Wang, Kezhi Wang +3
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAV…
Multi-User Cooperative Computation Framework Based on Bertrand Game
Nan Zhang, Guopeng Zhang, Kezhi Wang +1
In this paper, a multi-user cooperative computing framework is applied to enable mobile users to utilize available computing resources from other neighboring users via direct commu…
Two-Timescale Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Imperfect CSI
Kangda Zhi, Cunhua Pan, Hong Ren +7
This paper investigates the two-timescale transmission design for reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems, where the be…
Reconfigurable Intelligent Surface-Aided MISO Systems with Statistical CSI: Channel Estimation, Analysis and Optimization
Kangda Zhi, Cunhua Pan, Hong Ren +2
This paper investigates the reconfigurable reflecting surface (RIS)-aided multiple-input-single-output (MISO) systems with imperfect channel state information (CSI), where RIS-rela…
Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with ZF Detectors
Kangda Zhi, Cunhua Pan, Hong Ren +1
This letter investigates the reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems with a two-timescale design. First, the zero-forci…
Matching-Theory-Based Multi-User Cooperative Computing Framework
Ya Zhou, Guopeng Zhang, Kezhi Wang +1
In this paper, we propose a matching theory based multi-user cooperative computing (MUCC) scheme to minimize the overall energy consumption of a group of user equipments (UEs), whe…
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model
Jeyamohan Neera, Xiaomin Chen, Nauman Aslam +2
Recommendation systems rely heavily on users behavioural and preferential data (e.g. ratings, likes) to produce accurate recommendations. However, users experience privacy concerns…
Intelligent Reflecting Surface-aided URLLC in a Factory Automation Scenario
Hong Ren, Kezhi Wang, Cunhua Pan
Different from conventional wired line connections, industrial control through wireless transmission is widely regarded as a promising solution due to its reduced cost, increased l…
Reconfigurable Intelligent Surface aided Massive MIMO Systems with Low-Resolution DACs
Jianxin Dai, Yuanyuan Wang, Cunhua Pan +3
We investigate a reconfigurable intelligent surface (RIS)-aided multi-user massive multiple-input multi-output (MIMO) system where low-resolution digital-analog converters (DACs) a…