Search Results for author: Boyu Hua

Found 7 papers, 0 papers with code

Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network

no code implementations19 Aug 2024 Yubin Zang, Boyu Hua, Zhenzhou Tang, Zhipeng Lin, Fangzheng Zhang, Simin Li, Zuxing Zhang, Hongwei Chen

Therefore, the model can greatly alleviate the heavy burden of re-training since only the linear combination coefficients need to be found when changing the transmission condition.

Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network

no code implementations19 Aug 2024 Yubin Zang, Boyu Hua, Zhipeng Lin, Fangzheng Zhang, Simin Li, Zuxing Zhang, Hongwei Chen

By taking into the account of the previously proposed principle driven fiber model, the reduced basis expansion method and transforming the parameterized inputs into parameterized coefficients of the Nonlinear Schrodinger Equations, universal solutions with respect to inputs corresponding to different bit rates can all be obtained without the need of re-training the whole model.

Channel Modeling for UAV-to-Ground Communications with Posture Variation and Fuselage Scattering Effect

no code implementations5 Oct 2022 Boyu Hua, Haoran Ni, Qiuming Zhu, Cheng-Xiang Wang, Tongtong Zhou, Kai Mao, Junwei Bao, Xiaofei Zhang

Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role for reliable communications between UAV and ground terminal.

A Realistic 3D Non-Stationary Channel Model for UAV-to-Vehicle Communications Incorporating Fuselage Posture

no code implementations19 Sep 2022 Boyu Hua, Tongtong Zhou, Qiuming Zhu, Kai Mao, Junwei Bao, Weizhi Zhong, Naeem Ahmed

Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input multiple-output (MIMO) UAV-to-vehicle (U2V) channels.

Machine Learning-Based 3D Channel Modeling for U2V mmWave Communications

no code implementations5 Sep 2021 Kai Mao, Qiuming Zhu, Maozhong Song, Hanpeng Li, Benzhe Ning, Boyu Hua, Wei Fan

Moreover, the impact of 3D rotations, which has rarely been reported in previous works, can be observed in the generated CCF and ACF, which are also consistent with the theoretical and measurement results.

BIG-bench Machine Learning Generative Adversarial Network

Map-based Channel Modeling and Generation for U2V mmWave Communication

no code implementations8 Apr 2021 Qiuming Zhu, Kai Mao, Maozhong Song, Xiaomin Chen, Boyu Hua, Weizhi Zhong, Xijuan Ye

The computation and generation methods of channel parameters including interpath and intra-path are analyzed in detail.

Effects of Digital Map on the RT-based Channel Model for UAV mmWave Communications

no code implementations28 Jul 2020 Qiuming Zhu, Shan Jiang, Cheng-Xiang Wang, Boyu Hua, Kai Mao, Xiaomin Chen, Weizhi Zhong

Based on the geometry and ray tracing (RT) theory, a millimeter wave (mmWave) channel model and parameter computation method for unmanned aerial vehicle (UAV) assisted air-to-ground (A2G) communications are proposed in this paper.

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