2 citations · 4 across the 22 of their papers we have counts for
23 papers
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…
Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Ping Zhang, Rui Meng, Xiaodong Xu +23
Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges i…
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…
STCC: A Unified Source-Channel Semantic Token Coding Framework for Semantic Communications
Zhicheng Bao, Chen Dong, Sen Wang +6
Deep Joint Source-Channel Coding (JSCC) has emerged as a promising paradigm for overcoming the ``cliff effect" in wireless communications. However, existing Deep JSCC frameworks op…
IPRU: Input-Perturbation-based Radio Frequency Fingerprinting Unlearning for LAWNs
Ce Liu, Rui Meng, Yinqiu Liu +4
Radio Frequency Fingerprinting (RFF) is a key technology for identity authentication in wireless networks. However, due to the rapid dynamics of Autonomous Aerial Vehicles (AAVs) i…
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,…
Federated Agentic AI for Wireless Networks: Fundamentals, Approaches, and Applications
Lingyi Cai, Yu Zhang, Ruichen Zhang +5
Agentic artificial intelligence (AI) presents a promising pathway toward realizing autonomous and self-improving wireless network services. However, resource-constrained, widely di…
Real-World Asset Integration in Next-Generation Communication Networks: Fundamental, Framework, and Case Study
Tingxuan Su, Haoxiang Luo, Ruichen Zhang +3
Next-generation communication networks are characterized by integrated ultra-high reliability, ultra-low latency, massive connectivity, and ubiquitous coverage. However, this parad…
IGAA: Intent-Driven General Agentic AI for Edge Services Scheduling using Generative Meta Learning
Yan Sun, Yinqiu Liu, Shaoyong Guo +6
Agentic AI (AAI), which extends Large Language Models with enhanced reasoning capabilities, has emerged as a promising paradigm for autonomous edge service scheduling. However, use…
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…
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…
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Yuxuan Wu, Linghan Ma, Ruichen Zhang +9
Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…
Toward Integrated Air-Ground Computing and Communications: A Synergy of Computing Power Networks and Low-Altitude Economy Network
Yan Sun, Yinqiu Liu, Shaoyong Guo +5
With the rapid rise of the Low-Altitude Economy (LAE), the demand for intelligent processing and real-time response in services such as aerial traffic, emergency communications, an…
DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
Guangyuan Liu, Yinqiu Liu, Ruichen Zhang +5
Wireless networks are undergoing a paradigm shift toward massive connectivity with energy-efficient operation, driving the integration of satellite-terrestrial architectures with s…
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…
AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives
Haoxiang Luo, Yu Yan, Yanhui Bian +9
Artificial Intelligence (AI) techniques play a pivotal role in optimizing wireless communication networks. However, traditional deep learning approaches often act as closed boxes,…
Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial
Bisheng Wei, Ruihong Jiang, Ruichen Zhang +9
The rapid advancement toward sixth-generation (6G) wireless networks has significantly intensified the complexity and scale of optimization problems, including resource allocation…
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…
Real World Assets on-Chain Assistance Low-Altitude Computility Networks: Architecture, Methodology, and Challenges
Haoxiang Luo, Ruichen Zhang, Yinqiu Liu +3
Low-altitude airspace is becoming a new frontier for smart city services and commerce. Networks of drones, electric Vertical Takeoff and Landing (eVTOL) vehicles, and other aircraf…
Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers
Rui Meng, Song Gao, Haixiao Gao +6
As one of the most promising technologies for intellicise (intelligent and consice) wireless networks, Semantic Communication (SemCom) significantly improves communication efficien…
Hallucination-aware Optimization for Large Language Model-empowered Communications
Yinqiu Liu, Guangyuan Liu, Ruichen Zhang +5
Large Language Models (LLMs) have significantly advanced communications fields, such as Telecom Q\&A, mathematical modeling, and coding. However, LLMs encounter an inherent issue k…
Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion
Yinqiu Liu, Guangyuan Liu, Hongyang Du +5
In the rapidly evolving Next-Generation Networking (NGN) era, the adoption of zero-trust architectures has become increasingly crucial to protect security. However, provisioning ze…