Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)
49 Downloads (Pure)

Abstract

In this paper, we propose a null-space-based preemptive scheduling framework for cross-objective optimization to always guarantee robust URLLC performance, while extracting the maximum possible eMBB capacity. The proposed scheduler perpetually grants incoming URLLC traffic a higher priority for instant scheduling. In case that radio resources are not immediately schedulable, proposed scheduler forcibly enforces an artificial spatial user separation, for the URLLC traffic to get instantly scheduled over shared resources with ongoing eMBB transmissions. A pre-defined reference spatial subspace is constructed for which scheduler instantly picks the active eMBB user whose precoder is the closest possible. Then, it projects the eMBB precoder on-the-go onto the reference subspace, in order for its paired URLLC user to orient its decoder matrix into one possible null space of the reference subspace. Hence, a robust decoding ability is always preserved at the URLLC user, while cross-maximizing the ergodic capacity. Compared to the state-of-the-art proposals from industry and academia, proposed scheduler shows extreme URLLC latency robustness with significantly improved overall spectral efficiency. Analytical analysis and extensive system level simulations are presented to support paper conclusions.
Original languageEnglish
Title of host publication2018 IEEE Globecom Workshops (GC Wkshps)
Number of pages6
PublisherIEEE
Publication date21 Feb 2019
Article number8644351
ISBN (Print)978-1-5386-4920-6
ISBN (Electronic)978-1-5386-4920-6
DOIs
Publication statusPublished - 21 Feb 2019
Event2018 IEEE Globecom Workshops (GC Wkshps) - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Conference

Conference2018 IEEE Globecom Workshops (GC Wkshps)
CountryUnited Arab Emirates
CityAbu Dhabi
Period09/12/201813/12/2018
SeriesIEEE Globecom Workshops (GC Wkshps)

Fingerprint

Scheduling
Decoding
Industry

Keywords

  • 5G
  • MU-MIMO
  • Null space
  • Preemptive
  • Puncture scheduling
  • URLLC
  • eMBB

Cite this

Abdul-Mawgood Ali Ali Esswie, Ali ; Pedersen, Klaus I. / Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks. 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. (IEEE Globecom Workshops (GC Wkshps)).
@inproceedings{1b5b56611fed4272b9474fb3a8b9a0d3,
title = "Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks",
abstract = "In this paper, we propose a null-space-based preemptive scheduling framework for cross-objective optimization to always guarantee robust URLLC performance, while extracting the maximum possible eMBB capacity. The proposed scheduler perpetually grants incoming URLLC traffic a higher priority for instant scheduling. In case that radio resources are not immediately schedulable, proposed scheduler forcibly enforces an artificial spatial user separation, for the URLLC traffic to get instantly scheduled over shared resources with ongoing eMBB transmissions. A pre-defined reference spatial subspace is constructed for which scheduler instantly picks the active eMBB user whose precoder is the closest possible. Then, it projects the eMBB precoder on-the-go onto the reference subspace, in order for its paired URLLC user to orient its decoder matrix into one possible null space of the reference subspace. Hence, a robust decoding ability is always preserved at the URLLC user, while cross-maximizing the ergodic capacity. Compared to the state-of-the-art proposals from industry and academia, proposed scheduler shows extreme URLLC latency robustness with significantly improved overall spectral efficiency. Analytical analysis and extensive system level simulations are presented to support paper conclusions.",
keywords = "5G, MU-MIMO, Null space, Preemptive, Puncture scheduling, URLLC, eMBB",
author = "{Abdul-Mawgood Ali Ali Esswie}, Ali and Pedersen, {Klaus I.}",
year = "2019",
month = "2",
day = "21",
doi = "10.1109/GLOCOMW.2018.8644351",
language = "English",
isbn = "978-1-5386-4920-6",
booktitle = "2018 IEEE Globecom Workshops (GC Wkshps)",
publisher = "IEEE",
address = "United States",

}

Abdul-Mawgood Ali Ali Esswie, A & Pedersen, KI 2019, Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks. in 2018 IEEE Globecom Workshops (GC Wkshps)., 8644351, IEEE, IEEE Globecom Workshops (GC Wkshps), 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates, 09/12/2018. https://doi.org/10.1109/GLOCOMW.2018.8644351

Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks. / Abdul-Mawgood Ali Ali Esswie, Ali; Pedersen, Klaus I.

2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. 8644351 (IEEE Globecom Workshops (GC Wkshps)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

TY - GEN

T1 - Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks

AU - Abdul-Mawgood Ali Ali Esswie, Ali

AU - Pedersen, Klaus I.

PY - 2019/2/21

Y1 - 2019/2/21

N2 - In this paper, we propose a null-space-based preemptive scheduling framework for cross-objective optimization to always guarantee robust URLLC performance, while extracting the maximum possible eMBB capacity. The proposed scheduler perpetually grants incoming URLLC traffic a higher priority for instant scheduling. In case that radio resources are not immediately schedulable, proposed scheduler forcibly enforces an artificial spatial user separation, for the URLLC traffic to get instantly scheduled over shared resources with ongoing eMBB transmissions. A pre-defined reference spatial subspace is constructed for which scheduler instantly picks the active eMBB user whose precoder is the closest possible. Then, it projects the eMBB precoder on-the-go onto the reference subspace, in order for its paired URLLC user to orient its decoder matrix into one possible null space of the reference subspace. Hence, a robust decoding ability is always preserved at the URLLC user, while cross-maximizing the ergodic capacity. Compared to the state-of-the-art proposals from industry and academia, proposed scheduler shows extreme URLLC latency robustness with significantly improved overall spectral efficiency. Analytical analysis and extensive system level simulations are presented to support paper conclusions.

AB - In this paper, we propose a null-space-based preemptive scheduling framework for cross-objective optimization to always guarantee robust URLLC performance, while extracting the maximum possible eMBB capacity. The proposed scheduler perpetually grants incoming URLLC traffic a higher priority for instant scheduling. In case that radio resources are not immediately schedulable, proposed scheduler forcibly enforces an artificial spatial user separation, for the URLLC traffic to get instantly scheduled over shared resources with ongoing eMBB transmissions. A pre-defined reference spatial subspace is constructed for which scheduler instantly picks the active eMBB user whose precoder is the closest possible. Then, it projects the eMBB precoder on-the-go onto the reference subspace, in order for its paired URLLC user to orient its decoder matrix into one possible null space of the reference subspace. Hence, a robust decoding ability is always preserved at the URLLC user, while cross-maximizing the ergodic capacity. Compared to the state-of-the-art proposals from industry and academia, proposed scheduler shows extreme URLLC latency robustness with significantly improved overall spectral efficiency. Analytical analysis and extensive system level simulations are presented to support paper conclusions.

KW - 5G

KW - MU-MIMO

KW - Null space

KW - Preemptive

KW - Puncture scheduling

KW - URLLC

KW - eMBB

UR - http://www.scopus.com/inward/record.url?scp=85063447702&partnerID=8YFLogxK

U2 - 10.1109/GLOCOMW.2018.8644351

DO - 10.1109/GLOCOMW.2018.8644351

M3 - Article in proceeding

SN - 978-1-5386-4920-6

BT - 2018 IEEE Globecom Workshops (GC Wkshps)

PB - IEEE

ER -