NB-IoT is a promising cellular technology for enabling low cost, low power, long-range con-nectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flex-ibility 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. Further-more, as NB-IoT is based on HD-FDD, the sym-metric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmet-ric 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 cooper-ative interference prediction and flexible duplex-ing techniques.

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

L. Reggiani
2019-01-01

Abstract

NB-IoT is a promising cellular technology for enabling low cost, low power, long-range con-nectivity to IoT devices. With the bandwidth requirement of 180 kHz, it provides the flex-ibility 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. Further-more, as NB-IoT is based on HD-FDD, the sym-metric allocation of spectrum band between the downlink and uplink results in underutilization of resources, particularly in the case of asymmet-ric 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 cooper-ative interference prediction and flexible duplex-ing techniques.
Resource management, Long Term Evolution, Internet of Things
File in questo prodotto:
File Dimensione Formato  
08839971.pdf

Accesso riservato

Descrizione: Articolo principale
: Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione 956.83 kB
Formato Adobe PDF
956.83 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1121107
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 14
social impact