102 citations · 162 across the 23 of their papers we have counts for
6 papers · 1 filter
Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Data
Zhenyu Tao, Wei Xu, Xiaohu You +2
Digital twins (DTs) and learned world models are increasingly used to generate synthetic data that augment the scarce real datasets available for training artificial intelligence (…
Transfer Learning-Enabled Distortion Compensation for Amplitude-Phase-Time Block Modulation-Based Nonlinear Single-Carrier Wireless Communications
Guoxing Duan, Min Fan, Cheng Yi +4
Power amplifier (PA) nonlinearity and memory effects significantly limit the spectral compliance, reliability, and energy efficiency of communication systems. To address this, we p…
Intelligent Base Station Deployment in Urban Wireless Networks: A Geographic Data-Informed Digital Twin Approach
Zhenyu Tao, Yuxuan Li, Wei Xu +2
The placement of base station (BS) is a fundamental determinant of coverage and capacity of urban wireless networks. Yet large-scale BS deployment optimization remains challenging…
Towards World Model-Empowered Integrated Sensing, Communication, and Decision for Complex Unmanned Systems
Xue Han, Yongpeng Wu, Meng Shen +6
Complex unmanned systems comprising satellites, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and quadruped robots are increasingly deployed to perform large-sc…
A general performance analysis framework for bitwise neural polar decoding
Hongzhi Zhu, Wei Xu, Xiaohu You
This paper investigates when the population mean-squared error (MSE) of a bitwise neural predictor is sufficient to guarantee a bit-error rate (BER) close to the successive-cancell…
Large Language Model Empowered CSI Feedback in Massive MIMO Systems
Jie Wu, Wei Xu, Le Liang +2
Despite the success of large language models (LLMs) across domains, their potential for efficient channel state information (CSI) compression and feedback in frequency division dup…