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

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Resumé

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.
OriginalsprogEngelsk
Titel2018 IEEE Globecom Workshops (GC Wkshps)
Antal sider6
ForlagIEEE
Publikationsdato21 feb. 2019
Artikelnummer8644351
ISBN (Trykt)978-1-5386-4920-6
ISBN (Elektronisk)978-1-5386-4920-6
DOI
StatusUdgivet - 21 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 Globecom Workshops (GC Wkshps)

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    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",
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    Abdul-Mawgood Ali Ali Esswie, A & Pedersen, KI 2019, Null Space Based Preemptive Scheduling For Joint URLLC and eMBB Traffic in 5G Networks. i 2018 IEEE Globecom Workshops (GC Wkshps)., 8644351, IEEE, 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.

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

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    AU - Pedersen, Klaus I.

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    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

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    KW - Puncture scheduling

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