Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi

Samet Hatipoglu; Mehmet Basaran; Mehmet Akif Yazici; Lutfiye Durak-Ata

doi:10.1109/SIU49456.2020.9302030

Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi

Samet Hatipoglu
, Mehmet Basaran
, Mehmet Akif Yazici
, Lutfiye Durak-Ata

Bilişim Enstitüsü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

In this paper, an algorithm that improves HO performance in heavily-used routes in order to improve overall cellular network performance and reduce negative impacts on the network is presented. When a user is going to experience HO, the proposed algorithm assesses the signal levels from neighboring cells that are close to the serving cell. After determining the location of base stations (BS) in the test area, the neighboring states of BSs are examined using k-nearest neighbors (KNN) method. The proposed algorithm is set to maximize the quality of service and received power for the current network status. Besides, received signal power data is collected and analyzed systematically for this study. Numerical results show that the proposed algorithm provides 9.63% performance improvement in terms of service quality and power comparison to the current practice.

Tercüme edilen katkı başlığı	Handover-Based Cellular Network Healing in Heavily-Used Routes
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728172064
DOI'lar	https://doi.org/10.1109/SIU49456.2020.9302030
Yayın durumu	Yayınlandı - 5 Eki 2020
Etkinlik	28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Süre: 5 Eki 2020 → 7 Eki 2020

Yayın serisi

Adı	2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	28th Signal Processing and Communications Applications Conference, SIU 2020
Ülke/Bölge	Turkey
Şehir	Gaziantep
Periyot	5/10/20 → 7/10/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

Cellular network
Handover (HO)
Load balancing (LB)
RSRP
Self healing
k-nearest neighbors (KNN)

Belgeye Erişim

10.1109/SIU49456.2020.9302030

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Hatipoglu, S., Basaran, M., Yazici, M. A., & Durak-Ata, L. (2020). Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings Makale 9302030 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU49456.2020.9302030

Hatipoglu, Samet ; Basaran, Mehmet ; Yazici, Mehmet Akif et al. / Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi. 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

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title = "Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi",

abstract = "In this paper, an algorithm that improves HO performance in heavily-used routes in order to improve overall cellular network performance and reduce negative impacts on the network is presented. When a user is going to experience HO, the proposed algorithm assesses the signal levels from neighboring cells that are close to the serving cell. After determining the location of base stations (BS) in the test area, the neighboring states of BSs are examined using k-nearest neighbors (KNN) method. The proposed algorithm is set to maximize the quality of service and received power for the current network status. Besides, received signal power data is collected and analyzed systematically for this study. Numerical results show that the proposed algorithm provides 9.63\% performance improvement in terms of service quality and power comparison to the current practice.",

keywords = "Cellular network, Handover (HO), Load balancing (LB), RSRP, Self healing, k-nearest neighbors (KNN)",

author = "Samet Hatipoglu and Mehmet Basaran and Yazici, \{Mehmet Akif\} and Lutfiye Durak-Ata",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 28th Signal Processing and Communications Applications Conference, SIU 2020 ; Conference date: 05-10-2020 Through 07-10-2020",

year = "2020",

month = oct,

day = "5",

doi = "10.1109/SIU49456.2020.9302030",

language = "T{\"u}rk{\c c}e",

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Hatipoglu, S, Basaran, M, Yazici, MA & Durak-Ata, L 2020, Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi. in 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings., 9302030, 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Turkey, 5/10/20. https://doi.org/10.1109/SIU49456.2020.9302030

Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi. / Hatipoglu, Samet; Basaran, Mehmet; Yazici, Mehmet Akif et al.
2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9302030 (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi

AU - Hatipoglu, Samet

AU - Basaran, Mehmet

AU - Yazici, Mehmet Akif

AU - Durak-Ata, Lutfiye

PY - 2020/10/5

Y1 - 2020/10/5

N2 - In this paper, an algorithm that improves HO performance in heavily-used routes in order to improve overall cellular network performance and reduce negative impacts on the network is presented. When a user is going to experience HO, the proposed algorithm assesses the signal levels from neighboring cells that are close to the serving cell. After determining the location of base stations (BS) in the test area, the neighboring states of BSs are examined using k-nearest neighbors (KNN) method. The proposed algorithm is set to maximize the quality of service and received power for the current network status. Besides, received signal power data is collected and analyzed systematically for this study. Numerical results show that the proposed algorithm provides 9.63% performance improvement in terms of service quality and power comparison to the current practice.

AB - In this paper, an algorithm that improves HO performance in heavily-used routes in order to improve overall cellular network performance and reduce negative impacts on the network is presented. When a user is going to experience HO, the proposed algorithm assesses the signal levels from neighboring cells that are close to the serving cell. After determining the location of base stations (BS) in the test area, the neighboring states of BSs are examined using k-nearest neighbors (KNN) method. The proposed algorithm is set to maximize the quality of service and received power for the current network status. Besides, received signal power data is collected and analyzed systematically for this study. Numerical results show that the proposed algorithm provides 9.63% performance improvement in terms of service quality and power comparison to the current practice.

KW - Cellular network

KW - Handover (HO)

KW - Load balancing (LB)

KW - RSRP

KW - Self healing

KW - k-nearest neighbors (KNN)

UR - https://www.scopus.com/pages/publications/85100298231

U2 - 10.1109/SIU49456.2020.9302030

DO - 10.1109/SIU49456.2020.9302030

M3 - Konferans katkısı

AN - SCOPUS:85100298231

T3 - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

BT - 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th Signal Processing and Communications Applications Conference, SIU 2020

Y2 - 5 October 2020 through 7 October 2020

ER -

Hatipoglu S, Basaran M, Yazici MA , Durak-Ata L. Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi. In 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9302030. (2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings). doi: 10.1109/SIU49456.2020.9302030

Yogun Kullanilan Guzergahlarda El Degistirmelere Dayali Hucresel Ag Iyilestirilmesi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap