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20232026
most citedOverview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

198 citations · 202 across the 29 of their papers we have counts for

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5 papers · 1 filter

cs.LG2026

Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications

Wenkai Liu, Nan Ma, Jianqiao Chen +3

In multiple-input multiple-output (MIMO) semantic communication, imperfect channel state information (CSI) and equalization mismatch can seriously degrade semantic reconstruction q…

cs.LG2026

-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference

Rui Bao, Yaping Sun, Zhiyong Chen +4

Edge deployments of generative inference increasingly face two practical realities: per-device per-model performance is often unknown at deployment time, and it is non-stationary d…

cs.LG2026

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G

Kejia Bian, Meixia Tao, Jianhua Mo +2

The success of large foundation models is catalyzing a new paradigm for AI-native 6G network design: wireless foundation models for physical-layer design. However, existing models…

cs.LG2025

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning

Zhongwei Wang, Tong Wu, Zhiyong Chen +3

Federated semi-supervised learning (FSSL) is primarily challenged by two factors: the scarcity of labeled data across clients and the non-independent and identically distribution (…

cs.LG2024★ 1 cited

WDMoE: Wireless Distributed Mixture of Experts for Large Language Models

Nan Xue, Yaping Sun, Zhiyong Chen +6

Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoro…