Localization in cellular network using machine learning and fingerprint methods-Reference-Cited by-同舟云学术

Localization in cellular network using machine learning and fingerprint methods

Published:2024-06-14 Issue: Volume: Page:87-94
ISSN:
Container-title:Proceedings of the International Conference on Computer Systems and Technologies 2024
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Author:

Pham Ngoc Hung¹^ORCID,Nguyen Huy Dinh¹^ORCID,Nguyen Dinh Thuan¹^ORCID,La The Vinh¹^ORCID,Ta Hai Tung¹^ORCID,Hoang Van Hiep²^ORCID

Affiliation:

1. School of Information and Communication Technology, Hanoi University of Science and Technology, Viet Nam

2. School of Information and Communication Technology, Hano University of Science and Technology, Viet Nam

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3674912.3674950

Reference17 articles.

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3. P BRÍDA, J BENIKOVSKÝ, and J MACHAJ. 2010. Localization in Real GSM Network with Fingerprinting Utilization. In 2nd International ICST Conference on Mobile Lightweight Wireless Systems MOBILIGHT.

4. Peter Brida, Peter Cepel, and Jan Duha. 2006. A novel adaptive algorithm for RSS positioning in GSM networks. In Proceedings of the International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP’06). 748–751.

5. Peter Brida Peter Cepel and Jan Duha. 2009. Mobile positioning in next generation networks. In Handbook of research on heterogeneous next generation networking: Innovations and Platforms. IGI Global 223–252.