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A new long-term evolution downlink delay based lean scheduler

  • Mehmet İzzet Sağlam*
  • , Aktül Kavas
  • , Mesut Kartal
  • *Corresponding author for this work
  • Turkcell Iletisim Hizmetleri A.S.
  • Yildiz Technical University

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A new delay-based long-term evolution scheduler is proposed in this paper. The scheduler allows sharing of radio and base station resources between different radio bearers. It provides a trade-off between user fairness and system performance. The proposed algorithm is based on the scheduler having knowledge of the age of real-time (RT) applications packets. By considering the age of the packet with the lean production concept, the scheduler can determine different types of RT application packets and must be scheduled within their packet delay budget. The proposed algorithm is called the delay-based lean scheduler (DBLS). Simulation results shows that the proposed DBLS algorithm provides superior throughput and delay performance to the modified largest weighted delay first (M-LWDF) algorithm irrespective of the number of users.

Original languageEnglish
Pages (from-to)742-747
Number of pages6
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume14
Issue number5
DOIs
Publication statusPublished - May 2019

Bibliographical note

Publisher Copyright:
© 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Funding

This work was supported in part by the Ministry of Science, Industry and Technology of Turkey under Grant 0717.STZ.2014. Turkcell Teknoloji Arastirma ve Gelistirme A.S. supported the simulation environment.

FundersFunder number
Ministry of Science, Industry and Technology of Turkey0717

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Keywords

    • communication technology
    • lean
    • scheduling

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