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Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures

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Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures. / Kassab, Rahif; Simeone, Osvaldo; Popovski, Petar; Islam, Toufiqul.

In: IEEE Access, Vol. 7, 8612914, 15.01.2019, p. 13035-13049.

Research output: Contribution to journalArticle

Harvard

Kassab, R, Simeone, O, Popovski, P & Islam, T 2019, 'Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures', IEEE Access, vol. 7, 8612914, pp. 13035-13049. https://doi.org/10.1109/ACCESS.2019.2893128

APA

Kassab, R., Simeone, O., Popovski, P., & Islam, T. (2019). Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures. IEEE Access, 7, 13035-13049. [8612914]. https://doi.org/10.1109/ACCESS.2019.2893128

Vancouver

Kassab R, Simeone O, Popovski P, Islam T. Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures. IEEE Access. 2019 Jan 15;7:13035-13049. 8612914. https://doi.org/10.1109/ACCESS.2019.2893128

Author

Kassab, Rahif ; Simeone, Osvaldo ; Popovski, Petar ; Islam, Toufiqul. / Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures. In: IEEE Access. 2019 ; Vol. 7. pp. 13035-13049.

Bibtex Download

@article{a134788d5c674c66a1ac92090058f411,
title = "Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures",
abstract = "The fifth generation (5G) of cellular systems is introducing Ultra-Reliable Low-Latency Communications (URLLC) services alongside more conventional enhanced Mobile BroadBand (eMBB) traffic. Furthermore, the 5G cellular architecture is evolving from a base station-centric deployment to a fog-like set-up that accommodates a flexible functional split between cloud and edge. In this paper, a novel solution is proposed that enables the non-orthogonal coexistence of URLLC and eMBB services by processing URLLC traffic at the Edge Nodes (ENs), while eMBB communications are handled centrally at a cloud processor as in a Cloud-Radio Access Network (C-RAN) system. This solution guarantees the low-latency requirements of the URLLC service by means of edge processing, e.g., for vehicle-to-cellular use cases, as well as the high spectral efficiency for eMBB traffic via centralized baseband processing. Both uplink and downlink are analyzed by accounting for the heterogeneous performance requirements of eMBB and URLLC traffic and by considering practical aspects such as fading, lack of channel state information for URLLC transmitters, rate adaptation for eMBB transmitters, finite fronthaul capacity, and different coexistence strategies, such as puncturing.",
keywords = "5G, C-RAN, F-RAN, NOMA, URLLC, eMBB, fog networking",
author = "Rahif Kassab and Osvaldo Simeone and Petar Popovski and Toufiqul Islam",
year = "2019",
month = "1",
day = "15",
doi = "10.1109/ACCESS.2019.2893128",
language = "English",
volume = "7",
pages = "13035--13049",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures

AU - Kassab, Rahif

AU - Simeone, Osvaldo

AU - Popovski, Petar

AU - Islam, Toufiqul

PY - 2019/1/15

Y1 - 2019/1/15

N2 - The fifth generation (5G) of cellular systems is introducing Ultra-Reliable Low-Latency Communications (URLLC) services alongside more conventional enhanced Mobile BroadBand (eMBB) traffic. Furthermore, the 5G cellular architecture is evolving from a base station-centric deployment to a fog-like set-up that accommodates a flexible functional split between cloud and edge. In this paper, a novel solution is proposed that enables the non-orthogonal coexistence of URLLC and eMBB services by processing URLLC traffic at the Edge Nodes (ENs), while eMBB communications are handled centrally at a cloud processor as in a Cloud-Radio Access Network (C-RAN) system. This solution guarantees the low-latency requirements of the URLLC service by means of edge processing, e.g., for vehicle-to-cellular use cases, as well as the high spectral efficiency for eMBB traffic via centralized baseband processing. Both uplink and downlink are analyzed by accounting for the heterogeneous performance requirements of eMBB and URLLC traffic and by considering practical aspects such as fading, lack of channel state information for URLLC transmitters, rate adaptation for eMBB transmitters, finite fronthaul capacity, and different coexistence strategies, such as puncturing.

AB - The fifth generation (5G) of cellular systems is introducing Ultra-Reliable Low-Latency Communications (URLLC) services alongside more conventional enhanced Mobile BroadBand (eMBB) traffic. Furthermore, the 5G cellular architecture is evolving from a base station-centric deployment to a fog-like set-up that accommodates a flexible functional split between cloud and edge. In this paper, a novel solution is proposed that enables the non-orthogonal coexistence of URLLC and eMBB services by processing URLLC traffic at the Edge Nodes (ENs), while eMBB communications are handled centrally at a cloud processor as in a Cloud-Radio Access Network (C-RAN) system. This solution guarantees the low-latency requirements of the URLLC service by means of edge processing, e.g., for vehicle-to-cellular use cases, as well as the high spectral efficiency for eMBB traffic via centralized baseband processing. Both uplink and downlink are analyzed by accounting for the heterogeneous performance requirements of eMBB and URLLC traffic and by considering practical aspects such as fading, lack of channel state information for URLLC transmitters, rate adaptation for eMBB transmitters, finite fronthaul capacity, and different coexistence strategies, such as puncturing.

KW - 5G

KW - C-RAN

KW - F-RAN

KW - NOMA

KW - URLLC

KW - eMBB

KW - fog networking

UR - http://www.scopus.com/inward/record.url?scp=85061334438&partnerID=8YFLogxK

U2 - 10.1109/ACCESS.2019.2893128

DO - 10.1109/ACCESS.2019.2893128

M3 - Article

VL - 7

SP - 13035

EP - 13049

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

M1 - 8612914

ER -

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