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Deep Neural Network-based Telco Outdoor Localization

Published: 04 November 2018 Publication History

Abstract

When Telecommunication (Telco) networks provide phone call and data services for mobile users, measurement record (MR) data is generated by mobile devices during each call/session. MR data reports the connection states, e.g., signal strength, between mobile devices and nearby base stations. Given the MR data, the literature has proposed various Telco localization approaches, to localize mobile devices. Unfortunately, such approaches typically estimate the individual position independently, and could compromise the temporal and spatial locality in underlying mobility patterns. To address this issue, in this paper, we propose a deep neural network-based localization approach, namely RecuLSTM, to automatically extract contextual features and predict the positions of mobile devices from an input sequence of MR data. Our preliminary experiment validates that RecuLSTM greatly outperforms three recent works [1, 2, 4] which suffer from 3.2×, 1.91× and 3.56× median errors on the dataset in a 2G GSM suburban area, respectively.

References

[1]
Robert Margolies, Richard A. Becker, Simon D. Byers, Supratim Deb, Rittwik Jana, Simon Urbanek, and Chris Volinsky. 2017. Can you find me now? Evaluation of network-based localization in a 4G LTE network. In INFOCOM. 1--9.
[2]
Avik Ray, Supratim Deb, and Pantelis Monogioudis. 2016. Localization off LTE measurement records with missing information. In INFOCOM. 1--9,
[3]
From Wikipedia the free encyclopedia. 2018. Long shortterm memory. https://en.wikipedia.org/wiki/Long_short-term_memory. (2018).
[4]
Fangzhou Zhu, Chen Luo, Mingxuan Yuan, Yijian Zhu, Zhengqing Zhang, Tao Gu, Ke Deng, Weixiong Rao, and Jia Zeng. 2016. City-Scale Localization with Telco Big Data. In CIKM. 439--448.

Cited By

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  • (2024)DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338388136:10(5120-5137)Online publication date: Oct-2024
  • (2023)Outdoor Position Recovery From Heterogeneous Telco Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.323236135:11(11736-11750)Online publication date: 1-Nov-2023
  • (2023)FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving TrajectoriesIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.332284141:12(3878-3892)Online publication date: Dec-2023
  • Show More Cited By

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cover image ACM Conferences
SenSys '18: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
November 2018
449 pages
ISBN:9781450359528
DOI:10.1145/3274783
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2018

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Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

View all
  • (2024)DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.338388136:10(5120-5137)Online publication date: Oct-2024
  • (2023)Outdoor Position Recovery From Heterogeneous Telco Cellular DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2022.323236135:11(11736-11750)Online publication date: 1-Nov-2023
  • (2023)FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving TrajectoriesIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.332284141:12(3878-3892)Online publication date: Dec-2023
  • (2020)DMMProceedings of the 26th Annual International Conference on Mobile Computing and Networking10.1145/3372224.3421461(1-14)Online publication date: 16-Apr-2020
  • (2020)Intelligent Trajectory Inference Through Cellular Signaling DataIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2019.29616606:2(586-596)Online publication date: Jun-2020
  • (2019)DeepLocProceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.1145/3360774.3360779(258-267)Online publication date: 12-Nov-2019
  • (2019)PRNetProceedings of the 28th ACM International Conference on Information and Knowledge Management10.1145/3357384.3357908(1933-1942)Online publication date: 3-Nov-2019
  • (2019)Outdoor Localization Framework with Telco Data2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.00-14(395-396)Online publication date: Jun-2019

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