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

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Malik, Hassan, Alam, Muhammad Mahtab, Pervaiz, Haris, Moullec, Yannick Le, Al-Dulaimi, Anwer, Pärand, Sven and Reggiani, Luca (2020) Radio Resource Management in NB-IoT Systems Empowered by Interference Prediction and Flexible Duplexing. IEEE Network, 34 (1). pp. 144-151. ISSN 0890-8044

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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.

Item Type: Article
Additional Information: Acknowledgement This project has received funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant 668995, and partly through the ESPRC UK Global Challenges Research Fund (GCRF) allocation under Grant EP/P028764/1. This material reflects only the authors’ views, and the EC Research Executive Agency is not responsible for any use that may be made of the information it contains.
Uncontrolled Keywords: software,information systems,hardware and architecture,computer networks and communications ,/dk/atira/pure/subjectarea/asjc/1700/1712
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 02 Jul 2025 10:30
Last Modified: 06 Jul 2025 06:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/99803
DOI: 10.1109/MNET.001.1900087

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