Research On Data Acquisition Technology Under LTE-M System

With the rapid development of Internet of Things, M2M(Machine to Machine), as the main business form of it, will produce explosive growth in the number of terminals and the amount of uploaded data, resulting in high data redundancy, large energy consumption, serious inter-cell interference and other issues in LTE-M(LTE-Machine to Machine). Therefore, exploring effective terminal data acquisition technology according to LTE-M business characteristics and application scenarios will become the focus.In this thesis, the research status, application scope and M2M business characteristics of LTE-M are introduced in detail. The specific characteristics and application scenarios of M2M are analyzed,and the M2M business is modeled according to different scenarios.Then the concept and method of LTE-M system terminal acquisition technology are introduced. It provides the theoretical basis for the research of terminal data acquisition technology through the above research.This thesis mainly focuses on the introduction of M2M service in LTE network, and carries on the following two aspects to the terminal terminal data acquisition technology:(1) Aiming at a single M2M terminal node in LTE-M network, an adaptive time acquisition segment compression algorithm model is proposed to determine the upload frequency and data according to the service type and demand. Firstly, the application scenarios of LTE-M system are analyzed, and the research on monitoring alarm and environment information-aware services is mainly studied. According to the data delay tolerance and the correlation between data, the number of times of terminal acquisition, Upload data volume to optimize. And then build the simulation platform, the effectiveness of the algorithm and system performance simulation verification. The scheme reduces the energy consumption of LTE-M system, improves channel utilization, reduces data redundancy, reduces inter-cell interference, and improves the overall performance of LTE-M network.(2) For the cells in the LTE-M network, according to the service type and requirements of the M2M terminal nodes in the cell, the fault peak uploading strategy for different terminals is implemented in the cell to improve the utilization rate of the system upload channel. In order to avoid the problem of channel congestion caused by simultaneous uploading of end nodes, a model of peak delay delay allocation algorithm based on specific factors is proposed to analyze the current situation of M2M terminal mass and channel utilization.Finally, the simulation platform is used to analyze the performance of the algorithm. The fault peak upload model makes full use of the delay tolerance characteristics of the M2M terminal, reduces the peak and valley drop, reduces the interference between the cells, and ensures the utilization rate of the uploaded channel and the system throughput.