Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

129 Downloads (Pure)

Resumé

Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service class of the fifth generation mobile networks. URLLC applications demand stringent radio latency requirements of 1 millisecond with 99.999\% confidence. Obviously, the coexistence of the URLLC services and enhanced mobile broadband (eMBB) applications on the same spectrum imposes a challenging scheduling problem. In this paper, we propose an enhanced spatial preemptive scheduling framework for URLLC-eMBB traffic coexistence. The proposed scheduler ensures an instant and interference-free signal subspace for critical URLLC transmissions, while achieving best-effort eMBB performance. Furthermore, the impacted eMBB capacity is then recovered by limited network-assisted signaling. The performance of the proposed scheduler is evaluateeed by highly detailed system level simulations of the major performance indicators. Compared to the state-of-the-art multi-traffic schedulers from industry and academia, the proposed scheduler meets the stringent URLLC latency requirements, while significantly improving the achievable ergodic capacity.
OriginalsprogEngelsk
Titel2018 IEEE Globecom Workshops (GC Wkshps)
Antal sider6
ForlagIEEE
Publikationsdato19 feb. 2019
Artikelnummer8644070
ISBN (Trykt)978-1-5386-4921-3
ISBN (Elektronisk)978-1-5386-4920-6
DOI
StatusUdgivet - 19 feb. 2019
Begivenhed2018 IEEE Globecom Workshops (GC Wkshps) - Abu Dhabi, United Arab Emirates
Varighed: 9 dec. 201813 dec. 2018

Konference

Konference2018 IEEE Globecom Workshops (GC Wkshps)
LandUnited Arab Emirates
ByAbu Dhabi
Periode09/12/201813/12/2018
NavnIEEE Global Communications Conference (GLOBECOM) 2018

Fingerprint

Telecommunication traffic
Scheduling
Communication
Wireless networks
Industry

Citer dette

Abdul-Mawgood Ali Ali Esswie, Ali ; Pedersen, Klaus I. / Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio. 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. (IEEE Global Communications Conference (GLOBECOM) 2018).
@inproceedings{502f6b93c96a46b59cc4cffd729fe96e,
title = "Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio",
abstract = "Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service class of the fifth generation mobile networks. URLLC applications demand stringent radio latency requirements of 1 millisecond with 99.999\{\%} confidence. Obviously, the coexistence of the URLLC services and enhanced mobile broadband (eMBB) applications on the same spectrum imposes a challenging scheduling problem. In this paper, we propose an enhanced spatial preemptive scheduling framework for URLLC-eMBB traffic coexistence. The proposed scheduler ensures an instant and interference-free signal subspace for critical URLLC transmissions, while achieving best-effort eMBB performance. Furthermore, the impacted eMBB capacity is then recovered by limited network-assisted signaling. The performance of the proposed scheduler is evaluateeed by highly detailed system level simulations of the major performance indicators. Compared to the state-of-the-art multi-traffic schedulers from industry and academia, the proposed scheduler meets the stringent URLLC latency requirements, while significantly improving the achievable ergodic capacity.",
keywords = "5G, Latency, MU-MIMO, Preemptive scheduling, URLLC, eMBB",
author = "{Abdul-Mawgood Ali Ali Esswie}, Ali and Pedersen, {Klaus I.}",
year = "2019",
month = "2",
day = "19",
doi = "10.1109/GLOCOMW.2018.8644070",
language = "English",
isbn = "978-1-5386-4921-3",
booktitle = "2018 IEEE Globecom Workshops (GC Wkshps)",
publisher = "IEEE",
address = "United States",

}

Abdul-Mawgood Ali Ali Esswie, A & Pedersen, KI 2019, Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio. i 2018 IEEE Globecom Workshops (GC Wkshps)., 8644070, IEEE, IEEE Global Communications Conference (GLOBECOM) 2018, Abu Dhabi, United Arab Emirates, 09/12/2018. https://doi.org/10.1109/GLOCOMW.2018.8644070

Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio. / Abdul-Mawgood Ali Ali Esswie, Ali; Pedersen, Klaus I.

2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 2019. 8644070 (IEEE Global Communications Conference (GLOBECOM) 2018).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio

AU - Abdul-Mawgood Ali Ali Esswie, Ali

AU - Pedersen, Klaus I.

PY - 2019/2/19

Y1 - 2019/2/19

N2 - Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service class of the fifth generation mobile networks. URLLC applications demand stringent radio latency requirements of 1 millisecond with 99.999\% confidence. Obviously, the coexistence of the URLLC services and enhanced mobile broadband (eMBB) applications on the same spectrum imposes a challenging scheduling problem. In this paper, we propose an enhanced spatial preemptive scheduling framework for URLLC-eMBB traffic coexistence. The proposed scheduler ensures an instant and interference-free signal subspace for critical URLLC transmissions, while achieving best-effort eMBB performance. Furthermore, the impacted eMBB capacity is then recovered by limited network-assisted signaling. The performance of the proposed scheduler is evaluateeed by highly detailed system level simulations of the major performance indicators. Compared to the state-of-the-art multi-traffic schedulers from industry and academia, the proposed scheduler meets the stringent URLLC latency requirements, while significantly improving the achievable ergodic capacity.

AB - Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service class of the fifth generation mobile networks. URLLC applications demand stringent radio latency requirements of 1 millisecond with 99.999\% confidence. Obviously, the coexistence of the URLLC services and enhanced mobile broadband (eMBB) applications on the same spectrum imposes a challenging scheduling problem. In this paper, we propose an enhanced spatial preemptive scheduling framework for URLLC-eMBB traffic coexistence. The proposed scheduler ensures an instant and interference-free signal subspace for critical URLLC transmissions, while achieving best-effort eMBB performance. Furthermore, the impacted eMBB capacity is then recovered by limited network-assisted signaling. The performance of the proposed scheduler is evaluateeed by highly detailed system level simulations of the major performance indicators. Compared to the state-of-the-art multi-traffic schedulers from industry and academia, the proposed scheduler meets the stringent URLLC latency requirements, while significantly improving the achievable ergodic capacity.

KW - 5G

KW - Latency

KW - MU-MIMO

KW - Preemptive scheduling

KW - URLLC

KW - eMBB

UR - http://www.scopus.com/inward/record.url?scp=85063444996&partnerID=8YFLogxK

U2 - 10.1109/GLOCOMW.2018.8644070

DO - 10.1109/GLOCOMW.2018.8644070

M3 - Article in proceeding

SN - 978-1-5386-4921-3

BT - 2018 IEEE Globecom Workshops (GC Wkshps)

PB - IEEE

ER -

Abdul-Mawgood Ali Ali Esswie A, Pedersen KI. Capacity Optimization of Spatial Preemptive Scheduling for Joint URLLC-eMBB Traffic in 5G New Radio. I 2018 IEEE Globecom Workshops (GC Wkshps). IEEE. 2019. 8644070. (IEEE Global Communications Conference (GLOBECOM) 2018). https://doi.org/10.1109/GLOCOMW.2018.8644070