Evaluation, modeling and optimization of coverage enhancement methods of NB-IoT

Autor: Sahithya Ravi, Pouria Zand, Mohieddine El Soussi, Majid Nabi
Přispěvatelé: Mathematics and Computer Science, Electronic Systems, Networked Embedded Systems Lab
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: PIMRC
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
DOI: 10.1109/PIMRC.2019.8904109
Popis: Narrowband Internet of Things (NB-IoT) is a new Low Power Wide Area Network (LPWAN) technology released by the Third Generation Partnership Project (3GPP). The primary goals of NB-IoT are enhanced coverage, low cost, and long battery life. In order to enhance coverage, NB-IoT has new features, such as increasing transmission repetitions, decreasing bandwidth, and adapting the Modulation and Coding Scheme (MCS). In this paper, we present an implementation of these three features of NB-IoT in NS-3, an end-to-end network simulator. Using the developed simulation framework, the influence of the coverage enhancement features on network reliability and latency is evaluated. Furthermore, we propose a hybrid link adaptation strategy based on all three features, which tries to achieve optimal latency and coverage. To achieve this, we formulate and solve an optimization problem that finds the optimal value of repetitions, bandwidth and MCS such that the latency is minimum and the reliability is maintained. Based on the hybrid link adaption strategy, a new scheduler is implemented and evaluated in the NS3 simulator. Through numerical results we show that the hybrid link adaptation method achieves lower latency and higher coverage than any of the coverage enhancement techniques. We also show that the proposed optimizationmethod achieves the same performance as the exhaustive search method but with lower complexity.
Databáze: OpenAIRE