Transmission Optimization for Mobile Scenarios in 5G NB-IoT Networks

Since Narrow Band Internet of Things (NB-IoT) will produce network fluctuations in mobile scenarios and affect data transmission performance, this paper studies how to improve the data transmission performance of NB-IoT in mobile scenarios. We move in the real scene and collect the characteristic data of network signals, and at the same time calculate the Round-Trip Time (RTT) of data transmission. Machine learning method is used to analyze the network signal characteristics and to predict the RTT taken as Retransmission Time Out (RTO). The simulation results of the collected data show that compared with the traditional algorithm, the machine learning method can locally optimize the network resource consumption and transmission delay of NB-IoT transmission.