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

HASSAN MALIK; Muhammad Mahtab Alam; Haris  Pervaiz; Yannick Le Moullec; Anwer Al-Dulaimi; Sven  Pärand; Luca  Reggiani

doi:https://doi.org/10.1109/MNET.001.1900087

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

HASSAN MALIK, Muhammad Mahtab Alam, Haris Pervaiz, Yannick Le Moullec, Anwer Al-Dulaimi, Sven Pärand, Luca Reggiani

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

14 Downloads (Pure)

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.

Original language	English
Article number	8839971
Pages (from-to)	144-151
Number of pages	8
Journal	IEEE Network
Volume	34
Issue number	1
Early online date	16 Sep 2019
DOIs	https://doi.org/10.1109/MNET.001.1900087
Publication status	Published - 1 Feb 2020
Externally published	Yes

Keywords

NB-IoT
predictive interference
duplexing techniques
radio resource management

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https://doi.org/10.1109/MNET.001.1900087

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Dr. HASSAN MALIK
- Department of Computer Science - Senior Lecturer in Computer Science
Person: Academic

Cite this

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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.",

keywords = "NB-IoT, predictive interference, duplexing techniques, radio resource management",

author = "HASSAN MALIK and Alam, {Muhammad Mahtab} and Haris Pervaiz and {Le Moullec}, Yannick and Anwer Al-Dulaimi and Sven P{\"a}rand and Luca 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.",

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Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing. / MALIK, HASSAN; Alam, Muhammad Mahtab; Pervaiz, Haris ; Le Moullec, Yannick; Al-Dulaimi, Anwer; Pärand, Sven ; Reggiani, Luca.

In: IEEE Network, Vol. 34, No. 1, 8839971, 01.02.2020, p. 144-151.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Radio Resource Management in NB-IoT Systems: Empowered by Interference Prediction and Flexible Duplexing

AU - MALIK, HASSAN

AU - Alam, Muhammad Mahtab

AU - Pervaiz, Haris

AU - Le Moullec, Yannick

AU - Al-Dulaimi, Anwer

AU - Pärand, Sven

AU - Reggiani, Luca

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

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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.

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

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