219 citations · 570 across the 44 of their papers we have counts for
17 papers · 1 filter
JC5A: Service Delay Minimization for Aerial MEC-assisted Industrial Cyber-Physical Systems
Geng Sun, Jiaxu Wu, Zemin Sun +5
In the era of the sixth generation (6G) and industrial Internet of Things (IIoT), an industrial cyber-physical system (ICPS) drives the proliferation of sensor devices and computin…
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…
JPPO++: Joint Power and Denoising-inspired Prompt Optimization for Mobile LLM Services
Feiran You, Hongyang Du, Kaibin Huang +1
Large Language Models (LLMs) are increasingly integrated into mobile services over wireless networks to support complex user requests. This trend has led to longer prompts, which i…
JPPO: Joint Power and Prompt Optimization for Accelerated Large Language Model Services
Feiran You, Hongyang Du, Kaibin Huang +1
Large Language Models (LLMs) have demonstrated remarkable capabilities in various tasks, leading to their increasing deployment in wireless networks for a wide variety of user serv…
The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
Hanwen Zhang, Dusit Niyato, Wei Zhang +5
With the advancements of generative artificial intelligence (GenAI) models, their capabilities are expanding significantly beyond content generation and the models are increasingly…
Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and Communication
Jingran Xu, Huizhi Wang, Yong Zeng +5
Integrated super-resolution sensing and communication (ISSAC) has emerged as a promising technology to achieve extremely high precision sensing for those key parameters, such as th…
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…
Balancing Performance and Cost for Two-Hop Cooperative Communications: Stackelberg Game and Distributed Multi-Agent Reinforcement Learning
Yuanzhe Geng, Erwu Liu, Wei Ni +5
This paper aims to balance performance and cost in a two-hop wireless cooperative communication network where the source and relays have contradictory optimization goals and make d…
Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments
Pengcheng Sun, Erwu Liu, Wei Ni +6
Non-independent and identically distributed (Non- IID) data adversely affects federated learning (FL) while heterogeneity in communication quality can undermine the reliability of…
Movable Antenna-Enhanced Wireless Powered Mobile Edge Computing Systems
Pengcheng Chen, Yuxuan Yang, Bin Lyu +2
In this paper, we propose a movable antenna (MA) enhanced scheme for wireless powered mobile edge computing (WP-MEC) system, where the hybrid access point (HAP) equipped with multi…
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Minrui Xu, Dusit Niyato, Jiawen Kang +6
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, com…
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
Kai Li, Xin Yuan, Jingjing Zheng +3
This paper puts forth a new training data-untethered model poisoning (MP) attack on federated learning (FL). The new MP attack extends an adversarial variational graph autoencoder…
ProSecutor: Protecting Mobile AIGC Services on Two-Layer Blockchain via Reputation and Contract Theoretic Approaches
Yinqiu Liu, Hongyang Du, Dusit Niyato +5
Mobile AI-Generated Content (AIGC) has achieved great attention in unleashing the power of generative AI and scaling the AIGC services. By employing numerous Mobile AIGC Service Pr…
Collaborative Ground-Space Communications via Evolutionary Multi-objective Deep Reinforcement Learning
Jiahui Li, Geng Sun, Qingqing Wu +4
In this paper, we propose a distributed collaborative beamforming (DCB)-based uplink communication paradigm for enabling ground-space direct communications. Specifically, DCB treat…
Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse
Guangyuan Liu, Hongyang Du, Dusit Niyato +5
In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However,…
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission
Ruichen Zhang, Hongyang Du, Yinqiu Liu +5
In response to the needs of 6G global communications, satellite communication networks have emerged as a key solution. However, the large-scale development of satellite communicati…
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Guangyuan Liu, Nguyen Van Huynh, Hongyang Du +7
With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms have received great attention from both academia and industry due to their potential to p…