Implementation Of Uplink Physical Channel In NB-IoT Integrated Tester

As the core technology of The 5th Generation Mobile Communication(5G)massive Machine Type of Communication(m MTC)application scenario,Narrowband Internet of Things(NB-IoT)has the characteristics of wide coverage,low power consumption and massive access.With the maturity of NB-IoT industry chain,the demand for NB-IoT test instruments is also increasing.As an important part of NB-IoT protocol,physical layer will directly affect the overall performance of NB-IoT equipment;At the same time,baseband processing platform as an important part of NB-IoT equipment,the function and performance index of it will directly affect the implementation and final effect of the protocol.Based on the research and development needs of major industrial projects named“NB-IoT terminal So C development and application” and “Research and development of NB-IoT test equipment based on Zynq”,this thesis designs a software architecture suitable for NB-IoT systems based on the Xilinx Zynq hardware platform.Based on the3 rd Generation Partnership Project(3GPP)TS36 series protocol,the uplink physical channel of NB-IoT system is studied.The main work of this thesis is as follows:1.The overall processing flow of Narrowband Physical Random Access Channel(NPRACH)is studied,including NB-IoT random access process,NPRACH sequence structure,NPRACH channel structure,NPRACH sending process and NPRACH receiving process.The NPRACH simulation link was built on Matlab,and the Time Advance estimation algorithm performance verification was completed based on this link.2.This thesis studies the overall processing flow of narrow band physical uplink shared channel(NPUSCH),including NPUSCH resource type allocation,NDMRS introduction,NPUSCH sender processing flow and NPUSCH receiver processing flow,and completes the NPUSCH matlab link simulation.Focusing on the NB-IoT channel estimation technology,based on the Discrete Fourier transform(DFT)channel estimation technology and the low speed of NB-IoT terminal,a dual slot DFT channel estimation algorithm is proposed.Compared with the traditional DFT channel estimation algorithm,it has a performance improvement of about 4d B in the case of limited algorithm complexity,which is conducive to hardware platform implementation.3.According to the hardware architecture of baseband processing platform,combined with the characteristics of NB-IoT integrated tester,the selection of baseband processing platform system is completed,and an overall software architecture suitable for NB-IoT system is designed.In order to solve the problem of collaborative operation caused by Xilinx zynq series multi-core,the inter core communication module,memory resource allocation module and trace module are studied and applied.Using Vivado analysis tools and Tracealyzer to analyze the overall performance of the baseband platform,the overall power of the baseband platform is about 4.02 W,and the overall resource consumption rate of the chip is about 20%,which meets the needs of project.The function of NB-IoT uplink physical channel is realized on the baseband processing platform,and the channel function is simulated and verified by professional simulation software.The simulation results show that the function is correct.