117 citations · 195 across the 62 of their papers we have counts for
30 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Hybrid Reinforcement Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing
Minrui Xu, Dusit Niyato, Jiawen Kang +5
Exploiting quantum computing at the mobile edge holds immense potential for facilitating large-scale network design, processing multimodal data, optimizing resource management, and…
Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey
Yunting Xu, Jiacheng Wang, Ruichen Zhang +10
Mixture of Experts (MoE) has emerged as a promising paradigm for scaling model capacity while preserving computational efficiency, particularly in large-scale machine learning arch…
Generative Artificial Intelligence for Beamforming in Low-Altitude Economy
Geng Sun, Jia Qi, Chuang Zhang +5
The growth of low-altitude economy (LAE) has driven a rising demand for efficient and secure communication. However, conventional beamforming optimization techniques struggle in th…
AOLO: Analysis and Optimization For Low-Carbon Oriented Wireless Large Language Model Services
Xiaoqi Wang, Hongyang Du, Yuehong Gao +1
Recent advancements in large language models (LLMs) have led to their widespread adoption and large-scale deployment across various domains. However, their environmental impact, pa…
Aerial Secure Collaborative Communications under Eavesdropper Collusion in Low-altitude Economy: A Generative Swarm Intelligent Approach
Jiahui Li, Geng Sun, Qingqing Wu +4
In this work, we aim to introduce distributed collaborative beamforming (DCB) into AAV swarms and handle the eavesdropper collusion by controlling the corresponding signal distribu…
Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
Yinqiu Liu, Ruichen Zhang, Jiacheng Wang +4
Due to massive computational demands of large generative models, AI-Generated Content (AIGC) can organize collaborative Mobile AIGC Service Providers (MASPs) at network edges to pr…
SWIPTNet: A Unified Deep Learning Framework for SWIPT based on GNN and Transfer Learning
Hong Han, Yang Lu, Zihan Song +5
This paper investigates the deep learning based approaches for simultaneous wireless information and power transfer (SWIPT). The quality-of-service (QoS) constrained sum-rate maxim…