DORM: Narrowband IoT Development Platform and Indoor Deployment Coverage Analysis

Khan, Sikandar Zulqarnain; Malik, Hassan; Sarmiento, Jeffrey Leonel Redondo; Alam, Muhammad Mahtab; Moullec, Yannick Le

doi:10.1016/j.procs.2019.04.154

Cited by 14 publications

(6 citation statements)

References 2 publications

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“…The authors in [4] claim that excellent connectivity can be achieved in indoor environments and that IoT application requirement can be satisfied using NB-IoT. The authors in [5] show the temporal link dynamic of indoor NB-IoT devices and conclude that NB-IoT is capable of satisfying the requirements put forward for IoT applications.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Deep Indoor NB-IoT Propagation Attenuation

Malarski

Thrane

Bech

et al. 2019

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)

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Reliable connectivity over large distances is one of the main features characterising Low-Power Wide Area Network (LP-WAN) technologies, with Narrowband Internet of Things (NB-IoT) as the most promising one. The advent of such a family of communication standards has attracted attention of the industry, as excellent coverage of LP-WAN potentially enables new opportunities of automation, for instance remote metering or asset tracking. However, telecommunication standardisation bodies are still lacking accurate models of signal attenuation in deep-indoor environments. This work attempts to address this gap by presenting experimental measurements on NB-IoT deepindoor signal attenuation. The results indicate the differences in signal propagation between underground and above-ground indoor scenarios.

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Section: Introductionmentioning

confidence: 99%

Investigation of Deep Indoor NB-IoT Propagation Attenuation

Malarski

Thrane

Bech

et al. 2019

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)

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“…In [82], the authors presented preliminary results of RSSI and detected SNR by developing a DORM (integrateD cOmpact naRrowband platforM) node which was deployed on a university campus to test its practical feasibility in different indoor scenarios. Their SNR and RSSI values were observed to be in the range of 18 dB to 23 dB and −65 dBm to −70 dBm, respectively, which shows its suitability for indoor coverage.…”

Section: Narrowband-iot: Protocol Stackmentioning

confidence: 99%

Narrowband Internet of Things (NB-IoT): From Physical (PHY) and Media Access Control (MAC) Layers Perspectives

Mwakwata

Malik

Alam

et al. 2019

Sensors

Self Cite

114

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Narrowband internet of things (NB-IoT) is a recent cellular radio access technology based on Long-Term Evolution (LTE) introduced by Third-Generation Partnership Project (3GPP) for Low-Power Wide-Area Networks (LPWAN). The main aim of NB-IoT is to support massive machine-type communication (mMTC) and enable low-power, low-cost, and low-data-rate communication. NB-IoT is based on LTE design with some changes to meet the mMTC requirements. For example, in the physical (PHY) layer only single-antenna and low-order modulations are supported, and in the Medium Access Control (MAC) layers only one physical resource block is allocated for resource scheduling. The aim of this survey is to provide a comprehensive overview of the design changes brought in the NB-IoT standardization along with the detailed research developments from the perspectives of Physical and MAC layers. The survey also includes an overview of Evolved Packet Core (EPC) changes to support the Service Capability Exposure Function (SCEF) to manage both IP and non-IP data packets through Control Plane (CP) and User Plane (UP), the possible deployment scenarios of NB-IoT in future Heterogeneous Wireless Networks (HetNet). Finally, existing and emerging research challenges in this direction are presented to motivate future research activities.

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“…In this study, a two-way ground level model is considered with an average LTE BS effective height of

m [ 50 ] and an average NB-IoT elevation level

m for most NB-IoT urban applications scenarios [ 51 ].…”

Section: The Proposed Intelligent Mixed Approachmentioning

confidence: 99%

A Novel Spread Spectrum and Clustering Mixed Approach with Network Coding for Enhanced Narrowband IoT (NB-IoT) Scalability

Migabo

Djouani

Kurien

2020

Sensors

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The Narrowband Internet of Things (NB-IoT) is a very promising licensed Internet of things (IoT) technology for accommodating massive device connections in 5G and beyond. To enable network scalability, this study proposes a two-layers novel mixed approach that aims not only to create an efficient spectrum sharing among the many NB-IoT devices but also provides an energy-efficient network. On one layer, the approach uses an Adaptive Frequency Hopping Spread Spectrum (AFHSS) technique that uses a lightweight and secure pseudo-random sequence to exploit the channel diversity, to mitigate inter-link and cross-technology interference. On the second layer, the approach consists of a clustering and network coding (data aggregation) approach based on an energy-signal strength mixed gradient. The second layer contributes to offload the BS, allows for energy-efficient network scalability, helps balance the energy consumption of the network, and enhances the overall network lifetime. The proposed mixed strategy algorithm is modelled and simulated using the Matrix Laboratory (MATLAB) Long Term Evolution (LTE) toolbox. The obtained results reveal that the proposed mixed approach enhances network scalability while improving energy efficiency, transmission reliability, and network lifetime when compared to the existing spread spectrum only, nodes clustering only, and mixed approach with no network coding approaches.

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DORM: Narrowband IoT Development Platform and Indoor Deployment Coverage Analysis

Cited by 14 publications

References 2 publications

Investigation of Deep Indoor NB-IoT Propagation Attenuation

Investigation of Deep Indoor NB-IoT Propagation Attenuation

Narrowband Internet of Things (NB-IoT): From Physical (PHY) and Media Access Control (MAC) Layers Perspectives

A Novel Spread Spectrum and Clustering Mixed Approach with Network Coding for Enhanced Narrowband IoT (NB-IoT) Scalability

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