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

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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

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Telecommunication traffic
Scheduling
Communication
Wireless networks
Industry

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    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.}",
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    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.

    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

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    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