11 citations · 43 across the 22 of their papers we have counts for
22 papers
Approximate Wireless Communication for Lossy Gradient Updates in IoT Federated Learning
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
Federated learning (FL) has emerged as a distributed machine learning (ML) technique that can protect local data privacy for participating clients and improve system efficiency. In…
Exploring Communication Technologies, Standards, and Challenges in Electrified Vehicle Charging
Xiang Ma, Yuan Zhou, Hanwen Zhang +4
As public awareness of environmental protection continues to grow, the trend of integrating more electric vehicles (EVs) into the transportation sector is rising. Unlike convention…
Spatial Channel State Information Prediction with Generative AI: Towards Holographic Communication and Digital Radio Twin
Lihao Zhang, Haijian Sun, Yong Zeng +1
As 5G technology becomes increasingly established, the anticipation for 6G is growing, which promises to deliver faster and more reliable wireless connections via cutting-edge radi…
WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing
Lihao Zhang, Haijian Sun, Jin Sun +1
The accurate modeling of indoor radio propagation is crucial for localization, monitoring, and device coordination, yet remains a formidable challenge, due to the complex nature of…
Precise Coil Alignment for Dynamic Wireless Charging of Electric Vehicles with RFID Sensing
Haijian Sun, Xiang Ma, Rose Qingyang Hu +1
Electric vehicle (EV) has emerged as a transformative force for the sustainable and environmentally friendly future. To alleviate range anxiety caused by battery and charging facil…
Energy Efficient Robust Beamforming for Vehicular ISAC with Imperfect Channel Estimation
Hanwen Zhang, Haijian Sun, Tianyi He +2
This paper investigates robust beamforming for system-centric energy efficiency (EE) optimization in the vehicular integrated sensing and communication (ISAC) system, where the mob…
Map2Schedule: An End-to-End Link Scheduling Method for Urban V2V Communications
Lihao Zhang, Haijian Sun, Jin Sun +3
Urban vehicle-to-vehicle (V2V) link scheduling with shared spectrum is a challenging problem. Its main goal is to find the scheduling policy that can maximize system performance (u…
Relay-Enabled Backscatter Communications: Linear Mapping and Resource Allocation
Rui Xu, Liqin Shi, Yinghui Ye +2
Relay-enabled backscatter communication (BC) is an intriguing paradigm to alleviate energy shortage and improve throughput of Internet-of-Things (IoT) devices. Most of the existing…
CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning
Xiang Ma, Qun Wang, Haijian Sun +2
Asynchronous federated learning aims to solve the straggler problem in heterogeneous environments, i.e., clients have small computational capacities that could cause aggregation de…
Approximate Wireless Communication for Federated Learning
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
This paper presents an approximate wireless communication scheme for federated learning (FL) model aggregation in the uplink transmission. We consider a realistic channel that reve…
A New Implementation of Federated Learning for Privacy and Security Enhancement
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
Motivated by the ever-increasing concerns on personal data privacy and the rapidly growing data volume at local clients, federated learning (FL) has emerged as a new machine learni…
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
Qun Wang, Haijian Sun, Rose Qingyang Hu +1
The exponential growth of internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions. C…
User Scheduling for Federated Learning Through Over-the-Air Computation
Xiang Ma, Haijian Sun, Qun Wang +1
A new machine learning (ML) technique termed as federated learning (FL) aims to preserve data at the edge devices and to only exchange ML model parameters in the learning process.…
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network
Qun Wang, Han Hu, Haijian Sun +1
Energy efficiency and security are two critical issues for mobile edge computing (MEC) networks. With stochastic task arrivals, time-varying dynamic environment, and passive existi…
Scheduling Policy and Power Allocation for Federated Learning in NOMA Based MEC
Xiang Ma, Haijian Sun, Rose Qingyang Hu
Federated learning (FL) is a highly pursued machine learning technique that can train a model centrally while keeping data distributed. Distributed computation makes FL attractive…
Towards Green Mobile Edge Computing Offloading Systems with Security Enhancement
Haijian Sun, Qun Wang, Xiang Ma +2
Mobile edge computing (MEC) is an emerging communication scheme that aims at reducing latency. In this paper, we investigate a green MEC system under the existence of an eavesdropp…
Adaptive Federated Learning With Gradient Compression in Uplink NOMA
Haijian Sun, Xiang Ma, Rose Qingyang Hu
Federated learning (FL) is an emerging machine learning technique that aggregates model attributes from a large number of distributed devices. Several unique features such as energ…
Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT
Haijian Sun, Fuhui Zhou, Rose Qingyang Hu +1
This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realisti…
Artificial Noise Aided Secure Cognitive Beamforming for Cooperative MISO-NOMA Using SWIPT
Fuhui Zhou, Zheng Chu, Haijian Sun +2
Cognitive radio (CR) and non-orthogonal multiple access (NOMA) have been deemed two promising technologies due to their potential to achieve high spectral efficiency and massive co…
Resource Allocation for Secure MISO-NOMA Cognitive Radios Relying on SWIPT
Fuhui Zhou, Zheng Chu, Haijian Sun +1
Cognitive radio (CR) and non-orthogonal multiple access (NOMA) are two promising technologies in the next generation wireless communication systems. The security of a NOMA CR netwo…
UAV-Enabled Mobile Edge Computing: Offloading Optimization and Trajectory Design
Fuhui Zhou, Yongpeng Wu, Haijian Sun +1
With the emergence of diverse mobile applications (such as augmented reality), the quality of experience of mobile users is greatly limited by their computation capacity and finite…
Wearable Communications in 5G: Challenges and Enabling Technologies
Haijian Sun, Zekun Zhang, Rose Qingyang Hu +1
As wearable devices become more ingrained in our daily lives, traditional communication networks primarily designed for human being-oriented applications are facing tremendous chal…