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

Malik, H. and Alam, M.M. and Pervaiz, H. and Moullec, Y.L. and Al-Dulaimi, A. and Pärand, S. and Reggiani, L. (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

[img]
Text (IEEE_Networks__Revised_ (3))
IEEE_Networks_Revised_3_.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (691kB)

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:
Journal Article
Journal or Publication Title:
IEEE Network
Additional Information:
©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.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1710
Subjects:
ID Code:
141664
Deposited By:
Deposited On:
06 May 2020 14:25
Refereed?:
Yes
Published?:
Published
Last Modified:
30 Sep 2020 09:40