Q
Qiyue Li
Researcher at Hefei University of Technology
Publications - 69
Citations - 704
Qiyue Li is an academic researcher from Hefei University of Technology. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 8, co-authored 49 publications receiving 322 citations. Previous affiliations of Qiyue Li include University of Science and Technology of China.
Papers
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Fingerprint and Assistant Nodes Based Wi-Fi Localization in Complex Indoor Environment
TL;DR: Experiments demonstrate that in complex indoor environments, the proposed Wi-Fi indoor localization method can outperform its counterparts with robust performance and low localization estimation error.
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AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems
TL;DR: In this article, the authors proposed an Amplitude-Feature Deep Convolutional Generative Adversarial Network (AF-DCGAN) model to increase the diversity of the CSI amplitude feature map.
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WNN-LQE: Wavelet-Neural-Network-Based Link Quality Estimation for Smart Grid WSNs
TL;DR: A wavelet-neural-network-based LQE (WNN-LQE) algorithm that closes the gap between the QoS requirements of smart grids and the features of radio links by estimating the probability-guaranteed limits on the packet reception ratio (PRR).
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End-to-End Data Delivery Reliability Model for Estimating and Optimizing the Link Quality of Industrial WSNs
TL;DR: This paper suggests a new approach in which WSN nodes are used to measure and estimate the parameters of the scenario in which the nodes will be deployed and then to estimate and optimize the worst case reliability (which is a lower-bound value rather than a smoothed value) to ensure that the network is qualified.
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Point Cloud Video Streaming: Challenges and Solutions
TL;DR: The challenges of and proposed solutions to wireless transmission systems of point cloud video, which is the most popular and favored way to represent volumetric media and significantly differs from the other types of videos are responded to.