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20242026
most citedToward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges

1 citations · 4 across the 35 of their papers we have counts for

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cs.IT2026

RMWorld: Task-Aware Radio World Models with Value-of-Information Guided Multi-Trial Learning for Multi-UAV Communication Control

Xiucheng Wang, Nan Cheng, Junxi Huan

Reliable multi-UAV communication control depends on predicting which aerial links will serve traffic before measurements are available. Radio world models (radio WMs) make such pla…

cs.IT2026

RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization

Xiucheng Wang, Junxi Huang, Nan Cheng

Angular radio maps describe the received-power distribution over the angle of arrival and underpin beam selection and receiver localization in sixth-generation (6G) networks. Predi…

cs.IT2026

SateBeam: Beam-Aware Radio Map Estimation With Physics-Consistent Parametric Modeling for Unknown Multiple Satellites

Xiucheng Wang, Nan Cheng, Zhisheng Yin +2

Dense low-Earth-orbit (LEO) networks increasingly reuse spectrum across moving satellites and overlapping beams, making a spatial radio map essential for interference diagnosis and…

cs.IT2026

Physics-informed line-of-sight learning for scalable deterministic channel modeling

Xiucheng Wang, Junxi Huang, Conghao Zhou +2

Deterministic channel modeling maps a physical environment to its site-specific electromagnetic response. Ray tracing produces complete multi-dimensional channel information but re…

cs.IT2026

BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding

Xiucheng Wang, Yue Zhang, Nan Cheng

Integrating large language models (LLMs) into wireless communication optimization is a promising yet challenging direction. Existing approaches either use LLMs as black-box solvers…