7 citations · 17 across the 34 of their papers we have counts for
37 papers
Rethinking Wireless Communications through Formal Mathematical AI Reasoning
Changyuan Zhao, Jiacheng Wang, Dusit Niyato +5
Mathematical analysis has long underpinned wireless communication theory, yet the growing complexity of next-generation systems demands increasingly sophisticated reasoning from do…
Intelligent Forensics in Next-Generation Mobile Networks: Evidence, Methods, and Applications
Jiacheng Wang, Weihong Qin, Jialing He +3
This survey examines intelligent forensics in next-generation mobile networks, arguing that future wireless security must move beyond real-time detection toward accountable post-in…
From Digital Twins to World Models:Opportunities, Challenges, and Applications for Mobile Edge General Intelligence
Jie Zheng, Dusit Niyato, Changyuan Zhao +2
The rapid evolution toward 6G and beyond communication systems is accelerating the convergence of digital twins and world models at the network edge. Traditional digital twins prov…
Leveraging Large Vision Model for Multi-UAV Co-perception in Low-Altitude Wireless Networks
Yunting Xu, Jiacheng Wang, Ruichen Zhang +6
Multi-uncrewed aerial vehicle (UAV) cooperative perception has emerged as a promising paradigm for diverse low-altitude economy applications, where complementary multi-view observa…
Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions
Guangyuan Liu, Changyuan Zhao, Yinqiu Liu +2
Mobile agentic AI is extending autonomous capabilities to resource-constrained platforms such as edge robots and unmanned aerial vehicles (UAVs), where strict size, weight, power,…
Agentic AI-Driven UAV Network Deployment: An LLM-Enhanced Exact Potential Game Approach
Xin Tang, Xiaohuan Li, Qian Chen +6
Unmanned aerial vehicular network (UAVN) is envisioned to provide flexible connectivity, wide-area coverage, and low-latency services in dynamic environments. From an agentic artif…
Wireless Context Engineering for Efficient Mobile Agentic AI and Edge General Intelligence
Changyuan Zhao, Jiacheng Wang, Yunting Xu +5
Future wireless networks demand increasingly powerful intelligence to support sensing, communication, and autonomous decision-making. While scaling laws suggest improving performan…
UAV-Assisted Joint Data Collection and Wireless Power Transfer for Batteryless Sensor Networks
Wen Zhang, Aimin Wang, Geng Sun +4
The development of wireless power transfer (WPT) and Internet of Things (IoT) offers significant potential but faces challenges such as limited energy supply, dynamic environmental…
Hierarchical Online Optimization Approach for IRS-enabled Low-altitude MEC in Vehicular Networks
Yixian Wang, Geng Sun, Zemin Sun +2
In this paper, we propose an intelligent reflecting surface (IRS)-enabled low-altitude multi-access edge computing (MEC) architecture, where an aerial MEC server cooperates with a…
Stackelberg Game-Driven Defense for ISAC Against Channel Attacks in Low-Altitude Networks
Jiacheng Wang, Changyuan Zhao, Dusit Niyato +4
The increasing saturation of terrestrial resources has driven economic activities into low-altitude airspace. These activities, such as air taxis, rely on low-altitude wireless net…
Wireless Laser Power Transfer for Low-altitude Uncrewed Aerial Vehicle-assisted Internet of Things: Paradigms, Challenges, and Solutions
Chengzhen Li, Likun Zhang, Chuang Zhang +4
Low-altitude uncrewed aerial vehicles (UAVs) have become integral enablers for the Internet of Things (IoT) by offering enhanced coverage, improved connectivity and access to remot…
SecDiff: Diffusion-Aided Secure Deep Joint Source-Channel Coding Against Adversarial Attacks
Changyuan Zhao, Jiacheng Wang, Ruichen Zhang +5
Deep joint source-channel coding (JSCC) has emerged as a promising paradigm for semantic communication, delivering significant performance gains over conventional separate coding s…
Security-Aware Joint Sensing, Communication, and Computing Optimization in Low Altitude Wireless Networks
Jiacheng Wang, Changyuan Zhao, Jialing He +5
As terrestrial resources become increasingly saturated, the research attention is shifting to the low-altitude airspace, with many emerging applications such as urban air taxis and…
From Agentification to Self-Evolving Agentic AI for Wireless Networks: Concepts, Approaches, and Future Research Directions
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +5
Self-evolving agentic artificial intelligence (AI) offers a new paradigm for future wireless systems by enabling autonomous agents to continually adapt and improve without human in…
Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions
Ruichen Zhang, Guangyuan Liu, Yinqiu Liu +10
The rapid expansion of sixth-generation (6G) wireless networks and the Internet of Things (IoT) has catalyzed the evolution from centralized cloud intelligence towards decentralize…
Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges
Changyuan Zhao, Guangyuan Liu, Ruichen Zhang +11
Edge General Intelligence (EGI) represents a transformative evolution of edge computing, where distributed agents possess the capability to perceive, reason, and act autonomously a…
Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning
Saichao Liu, Geng Sun, Chuang Zhang +4
Mobile edge computing (MEC) is a promising technique to improve the computational capacity of smart devices (SDs) in Internet of Things (IoT). However, the performance of MEC is re…
Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications
Jiacheng Wang, Changyuan Zhao, Zehui Xiong +5
AI-enabled wireless communications have attracted tremendous research interest in recent years, particularly with the rise of novel paradigms such as low-altitude integrated sensin…
Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances
Geng Sun, Chenbang Liu, Jiahui Li +5
Unmanned aerial vehicle (UAV) swarms utilizing collaborative beamforming (CB) in low-altitude wireless networks (LAWN) demonstrate significant potential for enhanced communication…
Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
Geng Sun, Likun Zhang, Jiahui Li +5
The integration of unmanned aerial vehicles (UAVs) with Internet of Things (IoT) networks offers promising solutions for efficient data collection. However, the limited energy capa…
Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks
Xudong Wang, Lei Feng, Jiacheng Wang +4
As a key component of low-altitude wireless networks, aerial base stations (AeBSs) provide flexible and reliable wireless coverage to support 6G ultra-reliable and low-latency comm…
Generative AI-enhanced Low-Altitude UAV-Mounted Stacked Intelligent Metasurfaces
Geng Sun, Mingzhe Fan, Lei Zhang +6
Wireless communication systems face challenges in meeting the demand for higher data rates and reliable connectivity in complex environments. Stacked intelligent metasurfaces (SIMs…
World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang +5
World models are emerging as a transformative paradigm in artificial intelligence, enabling agents to construct internal representations of their environments for predictive reason…
Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking
Lingyi Cai, Ruichen Zhang, Changyuan Zhao +5
Low-Altitude Economic Networking (LAENet) aims to support diverse flying applications below 1,000 meters by deploying various aerial vehicles for flexible and cost-effective aerial…