Search Results for author: Kai Mao

Found 9 papers, 0 papers with code

Automating Psychological Hypothesis Generation with AI: Large Language Models Meet Causal Graph

no code implementations22 Feb 2024 Song Tong, Kai Mao, Zhen Huang, Yukun Zhao, Kaiping Peng

Leveraging the synergy between causal knowledge graphs and a large language model (LLM), our study introduces a groundbreaking approach for computational hypothesis generation in psychology.

Knowledge Graphs Language Modelling +2

Enhancing Vital Sign Estimation Performance of FMCW MIMO Radar by Prior Human Shape Recognition

no code implementations16 Mar 2023 Hadi Alidoustaghdam, Min Chen, Ben Willetts, Kai Mao, André Kokkeler, Yang Miao

Additionally, human's random body movements deteriorate the estimation of breathing and heart rates, therefore the information of the chest location and a narrow radar beam toward the chest are demanded for more accurate vital sign estimation.

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.

Height-Dependent LoS Probability Model for A2G MmWave Communications under Built-up Scenarios

no code implementations6 Sep 2021 Minghui Pang, Qiuming Zhu, Fei Bai, Zhuo Li, Hanpeng Li, Kai Mao, Yue Tian

Based on the three-dimensional propagation characteristic under built-up scenarios, a height-dependent line-of-sight (LoS) probability model for air-to-ground (A2G) millimeter wave (mmWave) communications is proposed in this paper.

Geometry-Based Stochastic Line-of-Sight Probability Model for A2G Channels under Urban Scenarios

no code implementations6 Sep 2021 Qiuming Zhu, Fei Bai, Minghui Pang, Jie Li, Weizhi Zhong, Xiaomin Chen, Kai Mao

Line-of-sight (LoS) path is essential for the reliability of air-to-ground (A2G) communications, but the existence of LoS path is difficult to predict due to random obstacles on the ground.

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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