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Resource Allocation of eMBB and URLLC Traffic using Pre-emption Mechanism

  • Ege Engin*
  • , Ibrahim Hokelek
  • , Hakan Ali Cirpan
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

5G and beyond networks accommodate eMBB service for high throughput needs while URLLC service provides stringent latency and reliability requirements with relatively small packet sizes. In this paper, we study resource allocation for jointly considering the requirements of eMBB and URLLC services, where codeblock group-based transmission and preemption mechanisms in 5G NR standards are utilized. The proposed algorithm, which is called Patient and Intelligent Pre-Empter (PIPE), waits for a suitable symbol time to pre-empt an eMBB traffic for scheduling URLLC traffic. The selection of punctured eMBB packets is done intelligently to minimize the eMBB throughput degradation using puncture allowance rates from error coding schemes. Simulation results show that the eMBB throughput is maximized by sufficiently delaying the scheduling of URLLC traffic without violating its delay constraint.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 46th International Conference on Telecommunications and Signal Processing, TSP 2023
EditörlerNorbert Herencsar
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar129-133
Sayfa sayısı5
ISBN (Elektronik)9798350303964
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik46th International Conference on Telecommunications and Signal Processing, TSP 2023 - Virtual, Online, Czech Republic
Süre: 12 Tem 202314 Tem 2023

Yayın serisi

Adı2023 46th International Conference on Telecommunications and Signal Processing, TSP 2023

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???event.eventtypes.event.conference???46th International Conference on Telecommunications and Signal Processing, TSP 2023
Ülke/BölgeCzech Republic
ŞehirVirtual, Online
Periyot12/07/2314/07/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

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