7 citations · 23 across the 22 of their papers we have counts for
23 papers
Leveraging the Power of Ensemble Learning for Secure Low Altitude Economy
Yaoqi Yang, Yong Chen, Jiacheng Wang +3
Low Altitude Economy (LAE) holds immense promise for enhancing societal well-being and driving economic growth. However, this burgeoning field is vulnerable to security threats, pa…
Joint Computing Resource Allocation and Task Offloading in Vehicular Fog Computing Systems Under Asymmetric Information
Geng Sun, Siyi Chen, Zemin Sun +5
Vehicular fog computing (VFC) has emerged as a promising paradigm, which leverages the idle computational resources of nearby fog vehicles (FVs) to complement the computing capabil…
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…
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…
Chain-of-Thought for Large Language Model-empowered Wireless Communications
Xudong Wang, Jian Zhu, Ruichen Zhang +6
Recent advances in large language models (LLMs) have opened new possibilities for automated reasoning and decision-making in wireless networks. However, applying LLMs to wireless c…
Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks
Minrui Xu, Jiani Fan, Xinyu Huang +8
With the continuous evolution of Large Language Models (LLMs), LLM-based agents have advanced beyond passive chatbots to become autonomous cyber entities capable of performing comp…
LAMeTA: Intent-Aware Agentic Network Optimization via a Large AI Model-Empowered Two-Stage Approach
Yinqiu Liu, Guangyuan Liu, Jiacheng Wang +5
Nowadays, Generative AI (GenAI) reshapes numerous domains by enabling machines to create content across modalities. As GenAI evolves into autonomous agents capable of reasoning, co…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking
Ruichen Zhang, Shunpu Tang, Yinqiu Liu +5
The increasing complexity and scale of modern telecommunications networks demand intelligent automation to enhance efficiency, adaptability, and resilience. Agentic AI has emerged…
Online Collaborative Resource Allocation and Task Offloading for Multi-access Edge Computing
Geng Sun, Minghua Yuan, Zemin Sun +5
Multi-access edge computing (MEC) is emerging as a promising paradigm to provide flexible computing services close to user devices (UDs). However, meeting the computation-hungry an…
Deep Learning-Assisted Jamming Mitigation with Movable Antenna Array
Xiao Tang, Yudan Jiang, Jinxin Liu +3
This paper reveals the potential of movable antennas in enhancing anti-jamming communication. We consider a legitimate communication link in the presence of multiple jammers and pr…
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
Hongjia Wu, Hui Zeng, Zehui Xiong +5
Timely updating of Internet of Things data is crucial for achieving immersion in vehicular metaverse services. However, challenges such as latency caused by massive data transmissi…
Enhancing Wireless Networks with Attention Mechanisms: Insights from Mobile Crowdsensing
Yaoqi Yang, Hongyang Du, Zehui Xiong +3
The increasing demand for sensing, collecting, transmitting, and processing vast amounts of data poses significant challenges for resource-constrained mobile users, thereby impacti…
Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach
Yongju Tong, Junlong Chen, Minrui Xu +5
Vehicular Metaverses are developed to enhance the modern automotive industry with an immersive and safe experience among connected vehicles and roadside infrastructures, e.g., Road…
Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing
Yaoqi Yang, Bangning Zhang, Daoxing Guo +4
Recently, generative AI has attracted much attention from both academic and industrial fields, which has shown its potential, especially in the data generation and synthesis aspect…
Exploring Equilibrium Strategies in Network Games with Generative AI
Yaoqi Yang, Hongyang Du, Geng Sun +3
Game theory offers a powerful framework for analyzing strategic interactions among decision-makers, providing tools to model, analyze, and predict their behavior. However, implemen…
Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments
Jiacheng Wang, Hongyang Du, Dusit Niyato +5
Groundbreaking applications such as ChatGPT have heightened research interest in generative artificial intelligence (GAI). Essentially, GAI excels not only in content generation bu…
Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
Jinbo Wen, Ruichen Zhang, Dusit Niyato +4
By integrating Artificial Intelligence (AI) with the Internet of Things (IoT), Artificial Intelligence of Things (AIoT) has revolutionized many fields. However, AIoT is facing the…
Generative AI for Game Theory-based Mobile Networking
Long He, Geng Sun, Dusit Niyato +5
With the continuous advancement of network technology, various emerging complex networking optimization problems have created a wide range of applications utilizing game theory. Ho…
Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks
Minrui Xu, Dusit Niyato, Hongliang Zhang +4
Edge intelligence in space-air-ground integrated networks (SAGINs) can enable worldwide network coverage beyond geographical limitations for users to access ubiquitous and low-late…
A Unified Framework for Underwater Metaverse with Optical Perception
Jingyang Cao, Mu Zhou, Jiacheng Wang +5
With the advancement of AI technology and increasing attention to deep-sea exploration, the underwater Metaverse is gradually emerging. This paper explores the concept of underwate…
When Large Language Model Agents Meet 6G Networks: Perception, Grounding, and Alignment
Minrui Xu, Dusit Niyato, Jiawen Kang +5
AI agents based on multimodal large language models (LLMs) are expected to revolutionize human-computer interaction and offer more personalized assistant services across various do…
The Age of Generative AI and AI-Generated Everything
Hongyang Du, Dusit Niyato, Jiawen Kang +9
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Gener…