Optimum GMSK based transceiver model for cellular IoT networks

Abstract

This paper focuses on the evolution of cellular networks as part of their adaptation to the IoT, allowing their new belonging to the category of LPWAN networks. We will be more particularly interested in coverage extension mechanisms. The transmission chain used in this work based on GMSK scheme with maximum likelihood criterion for phase detection. During the theoretical study on the IQ-Prefilter mixed recombination mechanism, we determined an approximation expression of the mean SINR of the frame after recombination. This study allowed us to observe the impact of the temporal correlation of the propagation channel on the performance of the proposed mechanism. A TU6 (Typical Urban 6 paths) channel model will be used in this work. This model is adapted to the urban environment, in accordance with our study on the IoT and the smart city. The effect of the parameters introduced in the theoretical part such as recombination ratio, number of repetitions and duration between each repetition will be evaluated particularly regarding SINR and BER. Based on simulation, the performance of the proposed IQ-Prefilter mechanism is better than those of the IQ and Prefilter recombination for equivalent SNRs. Moreover, the performance of the IQ-Prefilter mechanism is better for low IQ-Prefilter ratios, that is to say when recombination by Prefilter is preferred to recombination by IQ. All the theoretical results and those obtained by simulation make it possible to better evaluate the performance of the suggested mechanisms in the IoT framework.