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20232026
most citedCached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks

7 citations · 23 across the 22 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

eess.SP2024

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…

cs.LG2024★ 1 cited

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…

cs.NI2024★ 1 cited

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…

cs.AI2024

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…

cs.CR2024

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…

cs.GT2024

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…

eess.SP2024

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…

cs.NI2024★ 1 cited

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…

cs.GT2024

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…

cs.NI2024★ 7 cited

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…

cs.HC2024

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…

cs.AI2024

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…