Performance of Link Adaptation in Narrow Band Internet of Things

Abstract

In present paper was aimed to study performance of link adaptation in NBIOT, which introduced by 3GPP in release 13 to function in mobile communications. The fundamental features of NB-IoT are its enlarged coverage, data rate, latency and battery lifetime compared to other cellular technologies. These features of NB-IoT manages it very beneficial in the IoT manufacturing, letting the technology to be hired in a vast domain of implementations, like health, smart cities, agriculture, WSNs. The main target of this study is to determine the performance of distinct characteristics of NB-IoT network with reasonable error rates in the uplink and the downlink connections. The performance of the several ways examined to decide their efficiency in relation to the requirements of the IoT industry. Software simulations were used to compare the distinct criteria settings to inspect which choices give better efficiency and cost trade-offs for constructing an NB-IoT network. The results show that data transmitted in smaller Transport Block Size (TBS) has fewer errors than if it has transmitted in greater blocks. Furthermore, the results offer that the error rate gets higher as the Doppler frequency increases in the propagation channel model. The results also show that the error rate gets higher as the modulation and coding scheme field (IMCS) increase.