activity
20232025
most citedInteractive AI with Retrieval-Augmented Generation for Next Generation Networking

136 citations · 331 across the 22 of their papers we have counts for

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Showing 2023Show all

11 papers · 1 filter

eess.SP2023

Acceleration Estimation of Signal Propagation Path Length Changes for Wireless Sensing

Jiacheng Wang, Hongyang Du, Dusit Niyato +3

As indoor applications grow in diversity, wireless sensing, vital in areas like localization and activity recognition, is attracting renewed interest. Indoor wireless sensing relie…

cs.NI2023

Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study

Bingkun Lai, Jinbo Wen, Jiawen Kang +5

As the next-generation wireless communication system, Sixth-Generation (6G) technologies are emerging, enabling various mobile edge networks that can revolutionize wireless communi…

cs.NI2023★ 117 cited

Generative AI for Space-Air-Ground Integrated Networks

Ruichen Zhang, Hongyang Du, Dusit Niyato +5

Recently, generative AI technologies have emerged as a significant advancement in artificial intelligence field, renowned for their language and image generation capabilities. Mean…

eess.SP2023★ 1 cited

Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective

Jiacheng Wang, Hongyang Du, Dusit Niyato +4

As generative artificial intelligence (GAI) models continue to evolve, their generative capabilities are increasingly enhanced and being used extensively in content generation. Bey…

cs.LG2023★ 2 cited

From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks

Jinbo Wen, Jiangtian Nie, Jiawen Kang +4

Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data and facilitating advanced decision-making. By integrating GAI into modern Internet…

eess.SY2023

Knowledge Base Aware Semantic Communication in Vehicular Networks

Le Xia, Yao Sun, Dusit Niyato +3

Semantic communication (SemCom) has recently been considered a promising solution for the inevitable crisis of scarce communication resources. This trend stimulates us to explore t…

cs.GT2023★ 2 cited

Task Freshness-aware Incentive Mechanism for Vehicle Twin Migration in Vehicular Metaverses

Jinbo Wen, Jiawen Kang, Zehui Xiong +4

Vehicular metaverse, which is treated as the future continuum between automotive industry and metaverse, is envisioned as a blended immersive domain as the digital twins of intelli…

cs.GT2023

Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration

Junhong Zhang, Jiangtian Nie, Jinbo Wen +4

Vehicular metaverses are an emerging paradigm that integrates extended reality technologies and real-time sensing data to bridge the physical space and digital spaces for intellige…

cs.GT2023★ 18 cited

Blockchain-assisted Twin Migration for Vehicular Metaverses: A Game Theory Approach

Yue Zhong, Jinbo Wen, Junhong Zhang +5

As the fusion of automotive industry and metaverse, vehicular metaverses establish a bridge between the physical space and virtual space, providing intelligent transportation servi…

cs.NI2023

Dual Auction Mechanism for Transaction Relay and Validation in Complex Wireless Blockchain Network

Weiyi Wang, Yutao Jiao, Jin Chen +3

In traditional public blockchain networks, transaction fees are only allocated to full nodes (i.e., miners). However, the lack of relay rewards reduces the willingness of light nod…

cs.CR2023★ 2 cited

Privacy Attacks and Defenses for Digital Twin Migrations in Vehicular Metaverses

Xiaofeng Luo, Jinbo Wen, Jiawen Kang +5

The gradual fusion of intelligent transportation systems with metaverse technologies is giving rise to vehicular metaverses, which blend virtual spaces with physical space. As indi…