An Analytical Performance Evaluation Framework for NB-IoT Andres-Maldonado, Pilar Ameigeiras Gutiérrez, Pablo José Prados Garzón, Jonathan Navarro Ortiz, Jorge López Soler, Juan Manuel Analytical model Channel estimation energy consumption Narrowband Internet of Things NB-IoT signal to noise ratio 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. 2021-04-30T11:16:18Z 2021-04-30T11:16:18Z 2019-08 info:eu-repo/semantics/article P. Andres-Maldonado, P. Ameigeiras, J. Prados-Garzon, J. Navarro-Ortiz and J. M. Lopez-Soler, "An Analytical Performance Evaluation Framework for NB-IoT," in IEEE Internet of Things Journal, vol. 6, no. 4, pp. 7232-7240, Aug. 2019, doi: 10.1109/JIOT.2019.2915349. http://hdl.handle.net/10481/68246 10.1109/JIOT.2019.2915349 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España Institute of Electrical and Electronics Engineers (IEEE)