Journal article · IEEE Internet of Things Journal 2019

Extreme Coverage in 5G Narrowband IoT: A LUT-Based Strategy to Optimize Shared Channels

Emmanuel LujanJuan A. Zuloaga MellinoAlejandro D. OteroLeonardo Rey VegaCecilia G. GalarzaEsteban E. Mocskos

IEEE Internet of Things Journal, 2019

Abstract

One of the main challenges in Internet of Things (IoT) is providing communication support to an increasing number of connected devices. In recent years, the narrowband radio technology has emerged to address this situation: narrowband IoT (NB-IoT), which is now part of 5G. Supporting massive connectivity becomes particularly demanding in extreme coverage scenarios, such as underground or deep inside building sites.

We propose a novel strategy for these situations focused on optimizing NB-IoT shared channels through the selection of link parameters: modulation and coding scheme, as well as the number of repetitions. Specifically, our strategy is based on a lookup table (LUT) scheme which is used for rapidly delivering the optimal link parameters given a target QoS. Results show that, especially under extreme conditions, only a few options for link parameters are available, favoring robustness against measurement uncertainties.

Our strategy minimizes resource usage in all scenarios of the acknowledged mode and remarkably reduces losses in the unacknowledged mode.

The full text is available as a PDF; the version of record is at doi:10.1109/JIOT.2019.2959552.

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Emmanuel Lujan, Juan A. Zuloaga Mellino, Alejandro D. Otero, Leonardo Rey Vega, Cecilia G. Galarza and Esteban E. Mocskos, “Extreme Coverage in 5G Narrowband IoT: A LUT-Based Strategy to Optimize Shared Channels,” IEEE Internet of Things Journal, 2019.
doi:10.1109/JIOT.2019.2959552

BibTeX · Journal article
@article{lujan2019extreme,
  title={Extreme Coverage in {5G} Narrowband {IoT}: A {LUT}-Based Strategy to Optimize Shared Channels},
  author={Luj{\'{a}}n, Emmanuel and Mellino, Juan A. Zuloaga and Otero, Alejandro D. and Vega, Leonardo Rey and Galarza, Cecilia G. and Mocskos, Esteban E.},
  journal={IEEE Internet of Things Journal},
  year={2019},
  doi={10.1109/JIOT.2019.2959552}
}