activity
20222026
most citedGenerative AI for Space-Air-Ground Integrated Networks

117 citations · 195 across the 62 of their papers we have counts for

collaborators

63 papers

eess.SY2026

Edge-Native Embodied Intelligence for Action-Aware Wireless Edge Networks

Yiru Wang, Chuanao Jiang, Jiahui Cui +4

Embodied intelligence is shifting artificial intelligence from passive digital perception toward active physical interaction. However, foundation-model-enabled embodied agents face…

cs.NI2026

Agentic-SecPBFT: Agentic AI-Driven Proactive Security Framework for Wireless PBFT Consensus in Mobile Ad-Hoc Networks

Haoxiang Luo, Yinqiu Liu, Ruichen Zhang +5

The standard Practical Byzantine Fault Tolerance (PBFT) protocol, designed for stable, wired environments, exhibits critical vulnerabilities when deployed in settings like mobile a…

cs.NI2026

SkyChain Intelligence: A Blockchain-Secured Multi-Agent DRL Framework for Low-Altitude Embodied Artificial Intelligence

Haoxiang Luo, Tianqi Jiang, Ruichen Zhang +5

With the rapid development of the Low-Altitude Economy (LAE) ecosystem, Low-Altitude Embodied Artificial Intelligence (LAEAI) agents have become the core carriers of autonomous aer…

eess.SP2026

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…

cs.CV2026

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…

cs.NI2026

Unleashing Tool Engineering and Intelligence for Agentic AI in Next-Generation Communication Networks

Yinqiu Liu, Ruichen Zhang, Dusit Niyato +3

Nowadays, agentic AI is emerging as a transformative paradigm for next-generation communication networks, promising to evolve large language models (LLMs) from passive chatbots int…

cs.NI2026

Cross-reality location privacy protection in 6G-enabled vehicular metaverses: an LLM-enhanced hybrid generative diffusion model-based approach

Xiaofeng Luo, Jiayi He, Jiawen Kang +4

The emergence of 6G-enabled vehicular metaverses enables Autonomous Vehicles (AVs) to operate across physical and virtual spaces through space-air-ground-sea integrated networks. T…

cs.NI2025

Wireless Copilot: An AI-Powered Partner for Navigating Next-Generation Wireless Complexity

Haoxiang Luo, Ruichen Zhang, Yinqiu Liu +3

The sixth-generation (6G) of wireless networks introduces a level of operational complexity that exceeds the limits of traditional automation and manual oversight. This paper intro…

cs.AI2025

Agentic AI for ISAC: Analysis, Framework, and Case Study

Wenwen Xie, Geng Sun, Chuang Zhang +2

Integrated sensing and communication (ISAC) has emerged as a key development direction in the sixth-generation (6G) era, which provides essential support for the collaborative sens…

cs.LG2025

Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems

Weihong Qin, Aimin Wang, Geng Sun +5

Space-air-ground integrated multi-access edge computing (SAGIN-MEC) provides a promising solution for the rapidly developing low-altitude economy (LAE) to deliver flexible and wide…

cs.LG2025

Efficient Onboard Vision-Language Inference in UAV-Enabled Low-Altitude Economy Networks via LLM-Enhanced Optimization

Yang Li, Ruichen Zhang, Yinqiu Liu +4

The rapid advancement of Low-Altitude Economy Networks (LAENets) has enabled a variety of applications, including aerial surveillance, environmental sensing, and semantic data coll…

cs.NI2025

RIS-assisted Data Collection and Wireless Power Transfer in Low-altitude Wireless Networks

Wenwen Xie, Geng Sun, Jiahui Li +5

Low-altitude wireless networks (LAWNs) have become effective solutions for collecting data from low-power Internet-of-Things devices (IoTDs) in remote areas with limited communicat…

eess.SP2025★ 1 cited

Low-Altitude Wireless Networks: A Comprehensive Survey

Jun Wu, Yaoqi Yang, Weijie Yuan +25

The rapid development of the low-altitude economy has imposed unprecedented demands on wireless infrastructure to accommodate large-scale drone deployments and facilitate intellige…

cs.NI2025★ 1 cited

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Yinqiu Liu, Ruichen Zhang, Haoxiang Luo +9

Agentification serves as a critical enabler of Edge General Intelligence (EGI), transforming massive edge devices into cognitive agents through integrating Large Language Models (L…

cs.NI2025

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…

eess.SP2025★ 8 cited

Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead

Jun Wu, Weijie Yuan, Xiaoqi Zhang +7

Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental per…

cs.NI2025★ 2 cited

Safeguarding ISAC Performance in Low-Altitude Wireless Networks Under Channel Access Attack

Jiacheng Wang, Jialing He, Geng Sun +5

The increasing saturation of terrestrial resources has driven the exploration of low-altitude applications such as air taxis. Low altitude wireless networks (LAWNs) serve as the fo…

cs.LG2025

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…

eess.SP2025

Advancing the Control of Low-Altitude Wireless Networks: Architecture, Design Principles, and Future Directions

Haijia Jin, Weijie Yuan, Jun Wu +11

This article introduces a control-oriented low-altitude wireless network (LAWN) that integrates near-ground communications and remote estimation of the internal system state. This…

eess.SP2025

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…

eess.SP2025

Predictive Control over Low-Altitude Wireless Networks: Joint Trajectory Design and Resource Allocation

Haijia Jin, Jun Wu, Weijie Yuan +5

Low-altitude wireless networks (LAWNs) have been envisioned as flexible and transformative platforms for enabling delay-sensitive control applications in Internet of Things (IoT) s…

eess.SP2025

From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks

Weijie Yuan, Yuanhao Cui, Jiacheng Wang +13

In this article, we introduce a novel low-altitude wireless network (LAWN), which is a reconfigurable, three-dimensional (3D) layered architecture. In particular, the LAWN integrat…

cs.AI2025

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…

cs.CR2025

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey

Shuang Tian, Tao Zhang, Jiqiang Liu +8

With the rapid development of technology and the acceleration of digitalisation, the frequency and complexity of cyber security threats are increasing. Traditional cybersecurity ap…