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Packet level performance assessment of mmWave backhauling technology for 3GPP NR Systems

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Packet level performance assessment of mmWave backhauling technology for 3GPP NR Systems. / Ometov, Aleksandr; Moltchanov, Dmitri; Komarov, Mikhail; Volvenko, Sergey V.; Koucheryavy, Yevgeni.

In: IEEE Access, Vol. 7, 2019, p. 9860-9871.

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@article{790bc44fa46c42aa8851c26ad9f3c212,
title = "Packet level performance assessment of mmWave backhauling technology for 3GPP NR Systems",
abstract = "Recently standardized millimeter-wave (mmWave) band 3GPP New Radio systems are expected to bring extraordinary rates to the air interface efficiently providing commercial-grade enhanced mobile broadband services in hotspot areas. One of the challenges of such systems is efficient offloading of the data from access points (AP) to the network infrastructure. This task is of special importance for APs installed in remote areas with no transport network available. In this paper, we assess the packet level performance of mmWave technology for cost-efficient backhauling of remote 3GPP NR APs connectivity 'islands'. Using a queuing system with arrival processes of the same priority competing for transmission resources, we assess the aggregated and per-AP packet loss probability as a function environmental conditions, mmWave system specifics, and generated traffic volume. We show that the autocorrelation in aggregated traffic provides a significant impact on service characteristics of mmWave backhaul and needs to be compensated by increasing either emitted power or the number of antenna array elements. The effect of autocorrelation in the per-AP traffic and background traffic from other APs also negatively affects the per-AP packet loss probability. However, the effect is of different magnitude and heavily depends on the load fraction of per-AP traffic in the aggregated traffic stream. The developed model can be used to parameterize mmWave backhaul links as a function of the propagation environment, system design, and traffic conditions.",
keywords = "5G mobile communication, mathematical model, millimeter wave communication, Next generation networking, queueing analysis, wireless communication",
author = "Aleksandr Ometov and Dmitri Moltchanov and Mikhail Komarov and Volvenko, {Sergey V.} and Yevgeni Koucheryavy",
note = "EXT={"}Ometov, Aleksandr{"} EXT={"}Komarov, Mikhail{"}",
year = "2019",
doi = "10.1109/ACCESS.2018.2890558",
language = "English",
volume = "7",
pages = "9860--9871",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers",

}

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TY - JOUR

T1 - Packet level performance assessment of mmWave backhauling technology for 3GPP NR Systems

AU - Ometov, Aleksandr

AU - Moltchanov, Dmitri

AU - Komarov, Mikhail

AU - Volvenko, Sergey V.

AU - Koucheryavy, Yevgeni

N1 - EXT="Ometov, Aleksandr" EXT="Komarov, Mikhail"

PY - 2019

Y1 - 2019

N2 - Recently standardized millimeter-wave (mmWave) band 3GPP New Radio systems are expected to bring extraordinary rates to the air interface efficiently providing commercial-grade enhanced mobile broadband services in hotspot areas. One of the challenges of such systems is efficient offloading of the data from access points (AP) to the network infrastructure. This task is of special importance for APs installed in remote areas with no transport network available. In this paper, we assess the packet level performance of mmWave technology for cost-efficient backhauling of remote 3GPP NR APs connectivity 'islands'. Using a queuing system with arrival processes of the same priority competing for transmission resources, we assess the aggregated and per-AP packet loss probability as a function environmental conditions, mmWave system specifics, and generated traffic volume. We show that the autocorrelation in aggregated traffic provides a significant impact on service characteristics of mmWave backhaul and needs to be compensated by increasing either emitted power or the number of antenna array elements. The effect of autocorrelation in the per-AP traffic and background traffic from other APs also negatively affects the per-AP packet loss probability. However, the effect is of different magnitude and heavily depends on the load fraction of per-AP traffic in the aggregated traffic stream. The developed model can be used to parameterize mmWave backhaul links as a function of the propagation environment, system design, and traffic conditions.

AB - Recently standardized millimeter-wave (mmWave) band 3GPP New Radio systems are expected to bring extraordinary rates to the air interface efficiently providing commercial-grade enhanced mobile broadband services in hotspot areas. One of the challenges of such systems is efficient offloading of the data from access points (AP) to the network infrastructure. This task is of special importance for APs installed in remote areas with no transport network available. In this paper, we assess the packet level performance of mmWave technology for cost-efficient backhauling of remote 3GPP NR APs connectivity 'islands'. Using a queuing system with arrival processes of the same priority competing for transmission resources, we assess the aggregated and per-AP packet loss probability as a function environmental conditions, mmWave system specifics, and generated traffic volume. We show that the autocorrelation in aggregated traffic provides a significant impact on service characteristics of mmWave backhaul and needs to be compensated by increasing either emitted power or the number of antenna array elements. The effect of autocorrelation in the per-AP traffic and background traffic from other APs also negatively affects the per-AP packet loss probability. However, the effect is of different magnitude and heavily depends on the load fraction of per-AP traffic in the aggregated traffic stream. The developed model can be used to parameterize mmWave backhaul links as a function of the propagation environment, system design, and traffic conditions.

KW - 5G mobile communication

KW - mathematical model

KW - millimeter wave communication

KW - Next generation networking

KW - queueing analysis

KW - wireless communication

U2 - 10.1109/ACCESS.2018.2890558

DO - 10.1109/ACCESS.2018.2890558

M3 - Article

VL - 7

SP - 9860

EP - 9871

JO - IEEE Access

JF - IEEE Access

SN - 2169-3536

ER -