Xin Lan - IEEE Xplore Author Profile
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Xin Lan

Publications
5
Citations
6
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (13)
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Xin Lan

Affiliation

School of Communications and Information Engineering
Chongqing University of Posts and Telecommunications
Chongqing, China

Publication Topics

Biography

Xin Lan received the B.S. degree in communication engineering from Chongqing Jiaotong University, Chongqing, China, in 2021. She is currently pursuing the M.S. degree with the School of Information and Communication Engineering, Chongqing University of Posts and Telecommunications, Chongqing.,Her current research interests indoor WLAN localization.(Based on document published on 25 April 2023).
Publications
5
Citations
6
Publications by Year
20222025
Co-Authors:
Show All Co-Authors (13)
Author's Published Works

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A Novel RIS-Aided Indoor Localization in Single Access Point Scenarios via Generative AI

Qiaolin Pu;Wenjun Yu;Xin Lan;Mu Zhou;Xiaolong Yang

IEEE Internet of Things Journal
Year: 2025 | Early Access Article |
With the continuous development of 6G communication technology and artificial intelligence (AI), reconfigurable intelligent surface (RIS) technology and generative artificial intelligence (GAI) have received widespread attention. Hence, combining these two techniques to solve the problem of non-localizability in single access point (AP) scenarios is promising. This paper proposes a novel RIS-aided...Show More

A Novel RIS-Aided Indoor Localization in Single Access Point Scenarios via Generative AI

Qiaolin Pu;Wenjun Yu;Xin Lan;Mu Zhou;Xiaolong Yang

Year: 2025 | Early Access Article |

RIS-Aided Indoor Positioning System Based on Passive Reflective Elements Optimization

Qiaolin Pu;Xin Lan;Mu Zhou;Fengyi Jiang;Rui Cai;Lei Guo

IEEE Transactions on Vehicular Technology
Year: 2024 | Volume: 73, Issue: 11 | Journal Article |
Cited by: Papers (1)
With the development of 6G technology, Reconfigurable Intelligent Surface (RIS), as one of the core technologies, has received wide attention in recent years. It not only improves the performance of the wireless communication system but also constructs a new localization scenario that utilizes the RIS as assistance. The RIS-aided positioning system can improve the localization performance of the N...Show More

RIS-Aided Indoor Positioning System Based on Passive Reflective Elements Optimization

Qiaolin Pu;Xin Lan;Mu Zhou;Fengyi Jiang;Rui Cai;Lei Guo

Year: 2024 | Volume: 73, Issue: 11 | Journal Article |

Large Environment Indoor Localization Leveraging Semi-Tensor Product Compression Sensing

Qiaolin Pu;Xin Lan;Mu Zhou;Joseph Kee-Yin Ng;Yong Ma;Hengjie Xiang

IEEE Internet of Things Journal
Year: 2023 | Volume: 10, Issue: 19 | Journal Article |
Cited by: Papers (1)
The sparsity of the localization problem makes the compression sensing (CS) theory suitable for indoor localization in wireless local area networks (WLANs). However, in practice, we find that the location errors and computing complexity increase significantly as the dimensionality of the sparse vector and measurement matrix are high in a large environment, so most CS-based localization techniques ...Show More

Large Environment Indoor Localization Leveraging Semi-Tensor Product Compression Sensing

Qiaolin Pu;Xin Lan;Mu Zhou;Joseph Kee-Yin Ng;Yong Ma;Hengjie Xiang

Year: 2023 | Volume: 10, Issue: 19 | Journal Article |

Indoor Localization Based on Semi-tensor Product Compression Sensing

Xin Lan;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Youkun Chen;Quan Long;Li Fu

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The sparsity of the localization problem makes the Compression Sensing (CS) theory suitable for indoor localization in Wireless Local Area Network (WLAN). However, when the target environment has a large number of Access Points (APs), online measurement takes a lot of time and increases the storage space of the AP selection matrix. To address this drawback, a Semi-tensor Product Compression Sensin...Show More

Indoor Localization Based on Semi-tensor Product Compression Sensing

Xin Lan;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Youkun Chen;Quan Long;Li Fu

Year: 2022 | Conference Paper |

Indoor Wi-Fi Localization Based on CNN Feature Fusion Network

Youkun Chen;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Xin Lan;Quan Long;Li Fu

2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
With the rise of 5G new smart city construction, the demand for location-based services (LBS) has been increasing rapidly. Indoor positioning technology based on Wi-Fi has attracted extensive attention due to its advantages of low deployment cost and high positioning accuracy. However, traditional neural networks ignore a large amount of available information in the intermediate layer when conduct...Show More

Indoor Wi-Fi Localization Based on CNN Feature Fusion Network

Youkun Chen;Qiaolin Pu;Mu Zhou;Xiaolong Yang;Xin Lan;Quan Long;Li Fu

Year: 2022 | Conference Paper |

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