@misc{10481/68246,
year = {2019},
month = {8},
url = {http://hdl.handle.net/10481/68246},
abstract = {Narrowband Internet of Things (NB-IoT) technology
emerged in Release 13 as one of the solutions to provide cellular
IoT connectivity. NB-IoT is designed to achieve better indoor coverage, support of a massive number of low-throughput devices,
with relaxed delay requirements, and lower energy consumption.
Particularly, the extensive coverage of NB-IoT poses a great challenge. The goal is to cover devices in areas previously inaccessible
by cellular networks due to penetration losses or remote locations.
To solve this, NB-IoT utilizes bandwidth reduction and repetitions. However, for the targeted low range of signal to noise ratio
(SNR), the coverage gain due to repetitions can be significantly
limited by the performance of the channel estimator. In this
paper, we provide an analytical evaluation framework to study
the performance of NB-IoT. Our analysis includes the limitations
due to realistic channel estimation (CE) and delves into the estimation of the SNR. Additionally, the conducted evaluation shows
the impact of the coverage extension in the final performance of
the NB-IoT user equipment (UE) in terms of uplink packet transmission latency and battery lifetime. Specifically, regarding UE’s
battery lifetime, for a maximum coupling loss (MCL) of 164 dB,
realistic CE evaluations obtain a battery lifetime reduction of
approximately 90% compared to ideal CE.},
organization = {This work was supported in part by the Spanish Ministry of
Economy and Competitiveness and the European Regional Development Fund
under Project TEC2016-76795-C6-4-R and in part by the Spanish Ministry
of Education, Culture and Sport under Grant FPU 13/04833.},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {Analytical model},
keywords = {Channel estimation},
keywords = {energy consumption},
keywords = {Narrowband Internet of Things},
keywords = {NB-IoT},
keywords = {signal to noise ratio},
title = {An Analytical Performance Evaluation Framework for NB-IoT},
doi = {10.1109/JIOT.2019.2915349},
author = {Andres-Maldonado, Pilar and Ameigeiras Gutiérrez, Pablo José and Prados Garzón, Jonathan and Navarro Ortiz, Jorge and López Soler, Juan Manuel},
}