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Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Standard

Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing. / Malik, H.; Alam, M.M.; Pervaiz, H. et al.
In: IEEE Network, Vol. 34, No. 1, 8839971, 01.02.2020, p. 144-151.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Malik, H, Alam, MM, Pervaiz, H, Moullec, YL, Al-Dulaimi, A, Pärand, S & Reggiani, L 2020, 'Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing', IEEE Network, vol. 34, no. 1, 8839971, pp. 144-151. https://doi.org/10.1109/MNET.001.1900087

APA

Malik, H., Alam, M. M., Pervaiz, H., Moullec, Y. L., Al-Dulaimi, A., Pärand, S., & Reggiani, L. (2020). Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing. IEEE Network, 34(1), 144-151. Article 8839971. https://doi.org/10.1109/MNET.001.1900087

Vancouver

Malik H, Alam MM, Pervaiz H, Moullec YL, Al-Dulaimi A, Pärand S et al. Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing. IEEE Network. 2020 Feb 1;34(1):144-151. 8839971. Epub 2019 Sept 16. doi: 10.1109/MNET.001.1900087

Author

Malik, H. ; Alam, M.M. ; Pervaiz, H. et al. / Radio Resource Management in NB-IoT Systems : Empowered by Interference Prediction and Flexible Duplexing. In: IEEE Network. 2020 ; Vol. 34, No. 1. pp. 144-151.

Bibtex

@article{e00b10cbc0aa4d958f19fe9ca14df5ca,
title = "Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing",
abstract = "NB-IoT is a promising cellular technology for enabling low cost, low power, long-range connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flexibility to deploy within the existing LTE band. However, this raises serious concerns about the performance of the technology due to severe interference from multi-tier 5G HetNets. Furthermore, as NB-IoT is based on HD-FDD, the symmetric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmetric traffic distribution. Therefore, an innovative RRM strategy needs to be devised to improve spectrum efficiency and device connectivity. This article presents the detailed design challenges that need to be addressed for the RRM of NB-IoT and proposes a novel framework to devise an efficient resource allocation scheme by exploiting cooperative interference prediction and flexible duplexing techniques.",
author = "H. Malik and M.M. Alam and H. Pervaiz and Y.L. Moullec and A. Al-Dulaimi and S. P{\"a}rand and L. Reggiani",
note = "{\textcopyright}2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. ",
year = "2020",
month = feb,
day = "1",
doi = "10.1109/MNET.001.1900087",
language = "English",
volume = "34",
pages = "144--151",
journal = "IEEE Network",
issn = "0890-8044",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Radio Resource Management in NB-IoT Systems

T2 - Empowered by Interference Prediction and Flexible Duplexing

AU - Malik, H.

AU - Alam, M.M.

AU - Pervaiz, H.

AU - Moullec, Y.L.

AU - Al-Dulaimi, A.

AU - Pärand, S.

AU - Reggiani, L.

N1 - ©2020 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2020/2/1

Y1 - 2020/2/1

N2 - NB-IoT is a promising cellular technology for enabling low cost, low power, long-range connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flexibility to deploy within the existing LTE band. However, this raises serious concerns about the performance of the technology due to severe interference from multi-tier 5G HetNets. Furthermore, as NB-IoT is based on HD-FDD, the symmetric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmetric traffic distribution. Therefore, an innovative RRM strategy needs to be devised to improve spectrum efficiency and device connectivity. This article presents the detailed design challenges that need to be addressed for the RRM of NB-IoT and proposes a novel framework to devise an efficient resource allocation scheme by exploiting cooperative interference prediction and flexible duplexing techniques.

AB - NB-IoT is a promising cellular technology for enabling low cost, low power, long-range connectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flexibility to deploy within the existing LTE band. However, this raises serious concerns about the performance of the technology due to severe interference from multi-tier 5G HetNets. Furthermore, as NB-IoT is based on HD-FDD, the symmetric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmetric traffic distribution. Therefore, an innovative RRM strategy needs to be devised to improve spectrum efficiency and device connectivity. This article presents the detailed design challenges that need to be addressed for the RRM of NB-IoT and proposes a novel framework to devise an efficient resource allocation scheme by exploiting cooperative interference prediction and flexible duplexing techniques.

U2 - 10.1109/MNET.001.1900087

DO - 10.1109/MNET.001.1900087

M3 - Journal article

VL - 34

SP - 144

EP - 151

JO - IEEE Network

JF - IEEE Network

SN - 0890-8044

IS - 1

M1 - 8839971

ER -