Author

Zhenyu Tao

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#artificial intelligence Preprint Jun 2026

Intelligent Base Station Deployment in Urban Wireless Networks: A Geographic Data-Informed Digital Twin Approach

This work proposes an intelligent BS deployment framework that integrates a geographic data-informed wireless network digital twin (DT) with deep reinforcement learning (DRL), enabling sample-free macro BS deployment optimization from solely open geographic data.

Zhen-Yu Tao, Yuxuan Li, Wei Xu et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Data

Experiments show that aeSFT identifies useful synthetic data using substantially fewer real test samples than mean-based sequential testing, matches the power of fixed-sample sign-flip testing and the paired $t$-test, while keeping the false-positive rate below the target level.

Zhen-Yu Tao, Wei Xu, Xiao-Hu You et al. · 0 citations