activity
20232026
most citedMeta Reinforcement Learning for Fast Spectrum Sharing in Vehicular Networks

1 citations · 2 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.IT2026

Agentic UE-CoMIMO for 6G Terminals: From Virtual Antenna Augmentation to AI-Native Virtualization

Chao-Kai Wen, Yen-Cheng Chan, Lung-Sheng Tsai +2

End-user-centric collaborative MIMO (UE-CoMIMO) lets nearby devices form a virtual multi-antenna terminal to overcome the antenna limitations of individual user equipment. Extendin…

cs.IT2025

AI/ML Life Cycle Management for Interoperable AI Native RAN

Chu-Hsiang Huang, Yuan-Chih Fan Chiang, Chao-Kai Wen +1

Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral to the 5G Radio Access Network (RAN), enabling beam management, channel state information (CSI)…

cs.IT2024

Semantic Communication for Cooperative Perception using HARQ

Yucheng Sheng, Le Liang, Hao Ye +2

Cooperative perception, offering a wider field of view than standalone perception, is becoming increasingly crucial in autonomous driving. This perception is enabled through vehicl…

cs.IT2023

Semantic Communication for Cooperative Perception based on Importance Map

Yucheng Sheng, Hao Ye, Le Liang +2

Cooperative perception, which has a broader perception field than single-vehicle perception, has played an increasingly important role in autonomous driving to conduct 3D object de…

cs.IT2023★ 1 cited

Meta Reinforcement Learning for Fast Spectrum Sharing in Vehicular Networks

Kai Huang, Le Liang, Shi Jin +1

In this paper, we investigate the problem of fast spectrum sharing in vehicle-to-everything communication. In order to improve the spectrum efficiency of the whole system, the spec…