activity
20222026
most citedHypergraph-Aided Task-Resource Matching for Maximizing Value of Task Completion in Collaborative IoT Systems

12 citations · 29 across the 16 of their papers we have counts for

collaborators

16 papers

cs.IT2026

SLM, LLM or Agentic AI? Toward Intelligent UAV-Enabled WPT Systems in Low-Altitude Economy Networks

Feibo Jiang, Li Dong, Lei Mao +3

Unmanned Aerial Vehicles (UAVs) have become key enabling platforms for low-altitude economic networks, yet achieving efficient and adaptive optimization under resource-constrained…

cs.RO2025

Game-Theoretic Safe Multi-Agent Motion Planning with Reachability Analysis for Dynamic and Uncertain Environments (Extended Version)

Wenbin Mai, Minghui Liwang, Xinlei Yi +3

Ensuring safe, robust, and scalable motion planning for multi-agent systems in dynamic and uncertain environments is a persistent challenge, driven by complex inter-agent interacti…

cs.CR2025

Secure Low-altitude Maritime Communications via Intelligent Jamming

Jiawei Huang, Aimin Wang, Geng Sun +5

Low-altitude wireless networks (LAWNs) have emerged as a viable solution for maritime communications. In these maritime LAWNs, unmanned aerial vehicles (UAVs) serve as practical lo…

cs.NI2025★ 6 cited

Networked Physical Computing: A New Paradigm for Effective Task Completion via Hypergraph Aided Trusted Task-Resource Matching

Botao Zhu, Xianbin Wang

Due to the diverse physical attributes of computing resources and tasks, developing effective mechanisms to facilitate task and resource matching in complex connected systems for v…

cs.LG2025

Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks

Bibo Wu, Fang Fang, Xianbin Wang

Despite the advantage of preserving data privacy, federated learning (FL) still suffers from the straggler issue due to the limited computing resources of distributed clients and t…

cs.IT2024

Ambient IoT towards 6G: Standardization, Potentials, and Challenges

Kan Zheng, Rongtao Xu, Jie Mei +3

The Ambient Internet of Things (A-IoT) has emerged as a critical direction for achieving effective connectivity as the IoT system evolves to 6G. However, the introduction of A-IoT…

cs.IT2024

OTFS-MDMA: An Elastic Multi-Domain Resource Utilization Mechanism for High Mobility Scenarios

Jie Chen, Xianbin Wang, Lajos Hanzo

By harnessing the delay-Doppler (DD) resource domain, orthogonal time-frequency space (OTFS) substantially improves the communication performance under high-mobility scenarios by m…

eess.SY2024★ 12 cited

Hypergraph-Aided Task-Resource Matching for Maximizing Value of Task Completion in Collaborative IoT Systems

Botao Zhu, Xianbin Wang

With the growing scale and intrinsic heterogeneity of Internet of Things (IoT) systems, distributed device collaboration becomes essential for effective task completion by dynamica…

eess.SP2024

Learning-Based Intermittent CSI Estimation with Adaptive Intervals in Integrated Sensing and Communication Systems

Jie Chen, Xianbin Wang

Due to the distinct objectives and multipath utilization mechanisms between the communication module and radar module, the system design of integrated sensing and communication (IS…

eess.SP2024

Dual-Functional Waveform Design with Local Sidelobe Suppression via OTFS Signaling

Kecheng Zhang, Weijie Yuan, Pingzhi Fan +1

Integrated sensing and communication (ISAC) is viewed as a key technology in future wireless networks. One of the main challenges in realizing ISAC is developing dual-functional wa…

cs.IT2024★ 2 cited

Safeguarding Next Generation Multiple Access Using Physical Layer Security Techniques: A Tutorial

Lu Lv, Dongyang Xu, Rose Qingyang Hu +6

Driven by the ever-increasing requirements of ultra-high spectral efficiency, ultra-low latency, and massive connectivity, the forefront of wireless research calls for the design o…

cs.DC2023

QoE-oriented Dependent Task Scheduling under Multi-dimensional QoS Constraints over Distributed Networks

Xuwei Fan, Zhipeng Cheng, Ning Chen +2

Task scheduling as an effective strategy can improve application performance on computing resource-limited devices over distributed networks. However, existing evaluation mechanism…

cs.LG2023

Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning

Bibo Wu, Fang Fang, Xianbin Wang +3

Hierarchical federated learning (HFL) shows great advantages over conventional two-layer federated learning (FL) in reducing network overhead and interaction latency while still re…

eess.SP2023★ 7 cited

NoncovANM: Gridless DOA Estimation for LPDF System

Yangying Zhao, Peng Chen, Zhenxin Cao +1

Direction of arrival (DOA) estimation is an important research in the area of array signal processing, and has been studied for decades. High resolution DOA estimation requires lar…

eess.SP2022★ 1 cited

Beamforming Design and Trajectory Optimization for UAV-Empowered Adaptable Integrated Sensing and Communication

Cailian Deng, Xuming Fang, Xianbin Wang

Unmanned aerial vehicle (UAV) has high flexibility and controllable mobility, therefore it is considered as a promising enabler for future integrated sensing and communication (ISA…

eess.SP2022★ 1 cited

Joint Optimization of Resource Allocation and Trajectory Control for Mobile Group Users in Fixed-Wing UAV-Enabled Wireless Network

Xuezhen Yan, Xuming Fang, Cailian Deng +1

Owing to the controlling flexibility and cost-effectiveness, fixed-wing unmanned aerial vehicles (UAVs) are expected to serve as flying base stations (BSs) in the air-ground integr…