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Publikationstyp: Konferenz: Paper
Art der Begutachtung: Peer review (Publikation)
Titel: PIM detection in wireless networks as an anomaly detection problem
Autor/-in: Cantali, Gokcan
Deniz, Eren
Ozay, Ozcan
Yildirim, Onur
Gür, Gürkan
Alagoz, Fatih
et. al: No
DOI: 10.1109/BalkanCom58402.2023.10167980
10.21256/zhaw-29466
Tagungsband: 2023 International Balkan Conference on Communications and Networking (BalkanCom)
Angaben zur Konferenz: 6th International Balkan Conference on Communications and Networking (BalkanCom), İstanbul, Türkiye, 5-8 June 2023
Erscheinungsdatum: 2023
Verlag / Hrsg. Institution: IEEE
ISBN: 979-8-3503-3910-9
Sprache: Englisch
Schlagwörter: Passive intermodulation (PIM); Wireless network; Radio access network (RAN); Anomaly detection
Fachgebiet (DDC): 004: Informatik
Zusammenfassung: As the number of base stations keeps increasing due to ever-growing wireless services and pervasive connectivity, the cost of operation for network service providers rises proportionally. In addition, with the evolution of wireless technology and development of next generation networks such as 5G and 6G, network operators are expected to encounter more complex challenges soon. One such network issue is the Passive Inter-modulation (PIM) problem that is observed in both 4G and 5G networks. Although there is a significant body of work regarding PIM detection and cancellation methods, majority of such studies depend on hardware solutions and manual investigation by network engineers, which is costly in terms of time and labor. In this paper, we propose a time-series based anomaly detection method, for identifying PIM problems in network sites. The proposed solution utilizes a set of Key Performance Indicator (KPI) data of base stations, obtained from network management systems for a significantly long time interval, and detects possible PIM problems in a site without the need for a human-in-the-loop. We measure the performance of our solution, with the guidance of experienced network engineers, on our collected dataset.
URI: https://digitalcollection.zhaw.ch/handle/11475/29466
Volltext Version: Akzeptierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institut für Informatik (InIT)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Cantali, G., Deniz, E., Ozay, O., Yildirim, O., Gür, G., & Alagoz, F. (2023). PIM detection in wireless networks as an anomaly detection problem. 2023 International Balkan Conference on Communications and Networking (BalkanCom). https://doi.org/10.1109/BalkanCom58402.2023.10167980
Cantali, G. et al. (2023) ‘PIM detection in wireless networks as an anomaly detection problem’, in 2023 International Balkan Conference on Communications and Networking (BalkanCom). IEEE. Available at: https://doi.org/10.1109/BalkanCom58402.2023.10167980.
G. Cantali, E. Deniz, O. Ozay, O. Yildirim, G. Gür, and F. Alagoz, “PIM detection in wireless networks as an anomaly detection problem,” in 2023 International Balkan Conference on Communications and Networking (BalkanCom), 2023. doi: 10.1109/BalkanCom58402.2023.10167980.
CANTALI, Gokcan, Eren DENIZ, Ozcan OZAY, Onur YILDIRIM, Gürkan GÜR und Fatih ALAGOZ, 2023. PIM detection in wireless networks as an anomaly detection problem. In: 2023 International Balkan Conference on Communications and Networking (BalkanCom). Conference paper. IEEE. 2023. ISBN 979-8-3503-3910-9
Cantali, Gokcan, Eren Deniz, Ozcan Ozay, Onur Yildirim, Gürkan Gür, and Fatih Alagoz. 2023. “PIM Detection in Wireless Networks as an Anomaly Detection Problem.” Conference paper. In 2023 International Balkan Conference on Communications and Networking (BalkanCom). IEEE. https://doi.org/10.1109/BalkanCom58402.2023.10167980.
Cantali, Gokcan, et al. “PIM Detection in Wireless Networks as an Anomaly Detection Problem.” 2023 International Balkan Conference on Communications and Networking (BalkanCom), IEEE, 2023, https://doi.org/10.1109/BalkanCom58402.2023.10167980.


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