5G Enhanced Mobile Broadband Downlink Scheduler

Mehmet Izzet Saglam; Mesut Kartal

doi:10.23919/ELECO47770.2019.8990378

5G Enhanced Mobile Broadband Downlink Scheduler

Mehmet Izzet Saglam
, Mesut Kartal

Elektronik ve Hab.Müh.Bölümü

Department of Research and Development

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

10 Atıf (Scopus)

Özet

A new 5G enhanced Mobile BroadBand (eMBB) downlink scheduler is proposed in this paper. 5G can support a diversity of services and user requirements. These services and user requirements can be handled by functions like scheduling, link adaptation and power control. Scheduling has a close relation with other functionalities for an efficient system resources. The proposed 5G eMBB scheduling algorithm is throughput and Channel Quality Indicator (CQI) aware. The proposed algorithm, named 5G eMBB lean scheduler, is inspired by lean production method and possesses the properties of both best CQI and proportional fair (PF) algorithms. According to our best knowledge, lean production method has not been applied to 5G mobile communication scheduling algorithms. The proposed scheduler exceeds the performance of best CQI and PF algorithms in fairness and the throughput respectively even for cell edge users.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	687-692
Sayfa sayısı	6
ISBN (Elektronik)	9786050112757
DOI'lar	https://doi.org/10.23919/ELECO47770.2019.8990378
Yayın durumu	Yayınlandı - Kas 2019
Etkinlik	11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Süre: 28 Kas 2019 → 30 Kas 2019

Yayın serisi

Adı	ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

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???event.eventtypes.event.conference???	11th International Conference on Electrical and Electronics Engineering, ELECO 2019
Ülke/Bölge	Turkey
Şehir	Bursa
Periyot	28/11/19 → 30/11/19

Bibliyografik not

Publisher Copyright:
© 2019 Chamber of Turkish Electrical Engineers.

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Belgeye Erişim

10.23919/ELECO47770.2019.8990378

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Saglam, M. I., & Kartal, M. (2019). 5G Enhanced Mobile Broadband Downlink Scheduler. In ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering (pp. 687-692). Makale 8990378 (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELECO47770.2019.8990378

@inproceedings{e995cf3f62324112b95287d6bf07f5e8,

title = "5G Enhanced Mobile Broadband Downlink Scheduler",

abstract = "A new 5G enhanced Mobile BroadBand (eMBB) downlink scheduler is proposed in this paper. 5G can support a diversity of services and user requirements. These services and user requirements can be handled by functions like scheduling, link adaptation and power control. Scheduling has a close relation with other functionalities for an efficient system resources. The proposed 5G eMBB scheduling algorithm is throughput and Channel Quality Indicator (CQI) aware. The proposed algorithm, named 5G eMBB lean scheduler, is inspired by lean production method and possesses the properties of both best CQI and proportional fair (PF) algorithms. According to our best knowledge, lean production method has not been applied to 5G mobile communication scheduling algorithms. The proposed scheduler exceeds the performance of best CQI and PF algorithms in fairness and the throughput respectively even for cell edge users.",

author = "Saglam, \{Mehmet Izzet\} and Mesut Kartal",

note = "Publisher Copyright: {\textcopyright} 2019 Chamber of Turkish Electrical Engineers.; 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 ; Conference date: 28-11-2019 Through 30-11-2019",

year = "2019",

month = nov,

doi = "10.23919/ELECO47770.2019.8990378",

language = "English",

series = "ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "687--692",

booktitle = "ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering",

address = "United States",

}

Saglam, MI & Kartal, M 2019, 5G Enhanced Mobile Broadband Downlink Scheduler. in ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering., 8990378, ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 687-692, 11th International Conference on Electrical and Electronics Engineering, ELECO 2019, Bursa, Turkey, 28/11/19. https://doi.org/10.23919/ELECO47770.2019.8990378

5G Enhanced Mobile Broadband Downlink Scheduler. / Saglam, Mehmet Izzet; Kartal, Mesut.
ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering. Institute of Electrical and Electronics Engineers Inc., 2019. p. 687-692 8990378 (ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering).

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

TY - GEN

T1 - 5G Enhanced Mobile Broadband Downlink Scheduler

AU - Saglam, Mehmet Izzet

AU - Kartal, Mesut

PY - 2019/11

Y1 - 2019/11

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AB - A new 5G enhanced Mobile BroadBand (eMBB) downlink scheduler is proposed in this paper. 5G can support a diversity of services and user requirements. These services and user requirements can be handled by functions like scheduling, link adaptation and power control. Scheduling has a close relation with other functionalities for an efficient system resources. The proposed 5G eMBB scheduling algorithm is throughput and Channel Quality Indicator (CQI) aware. The proposed algorithm, named 5G eMBB lean scheduler, is inspired by lean production method and possesses the properties of both best CQI and proportional fair (PF) algorithms. According to our best knowledge, lean production method has not been applied to 5G mobile communication scheduling algorithms. The proposed scheduler exceeds the performance of best CQI and PF algorithms in fairness and the throughput respectively even for cell edge users.

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M3 - Conference contribution

AN - SCOPUS:85080856133

T3 - ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering

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EP - 692

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 28 November 2019 through 30 November 2019

ER -

5G Enhanced Mobile Broadband Downlink Scheduler

Özet

Yayın serisi

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BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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