Energy Efficient Channel Coding Technique for Narrowband Internet of Things

Abstract

Most of the existing Narrowband Internet of Things (NB-IoT) channel coding techniques are based on repeating transmission data and control signals as a way to enhance the network’s reliability and therefore, enable long distance transmissions. However, most of these efforts are made to the expense of reducing the energy consumption of the NB-IoT network and do not always consider the channel conditions. Therefore, this work proposes a novel NB-IoT Energy Efficient Adaptive Channel Coding (EEACC) scheme. The EEACC approach is a two-dimensional (2D) approach which not only, selects an appropriate channel coding scheme based on the estimated channel conditions; but also minimizes the transmission repetition number under a pre-assessed probability of successful transmission. It is aimed at enhancing the energy efficiency of the network by dynamically selecting the appropriate Modulation Coding Scheme (MCS) number and efficiently minimizing the transmission repetition number. Link-level simulations are performed under different channel conditions (good, medium or bad) considerations in order to assess the performance of the proposed up-link adaptation technique for NB-IoT. The obtained results demonstrate that the proposed technique outperforms the existing Narrowband Link Adaptation (NBLA) as well as the traditional repetition schemes, in terms of the achieved energy efficiency as well as reliability, latency and network scalability.