Research Article
Multi-path Channel Modeling and Analysis of Embedded LTE Wireless Communication Network Under Cloud Computing
@INPROCEEDINGS{10.1007/978-3-030-36402-1_8, author={Yanhua Qiao and Lin Zhao and Jianna Li}, title={Multi-path Channel Modeling and Analysis of Embedded LTE Wireless Communication Network Under Cloud Computing}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I}, proceedings_a={ADHIP}, year={2019}, month={11}, keywords={Embedded LTE Wireless communication Network multipath channel Modeling and analysis}, doi={10.1007/978-3-030-36402-1_8} }- Yanhua Qiao
Lin Zhao
Jianna Li
Year: 2019
Multi-path Channel Modeling and Analysis of Embedded LTE Wireless Communication Network Under Cloud Computing
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_8
Abstract
The multi-path channel modeling analysis of conventional communication network can analyze the modeling of multi-path channel in communication network. However, for the multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing, there is a shortage of high analysis error rate. To this end, the multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing is proposed. The LTE multipath channel modeling and analysis program structure is built, and the single-frequency signal is subjected to time-varying channel technology, and the digital signal is designed by multipath time-varying channel technology to complete the key technology design of multipath channel modeling and analysis. The multipath channel modeling and analysis program is used to determine the multi-path channel modeling Rayleigh distribution and Rice distribution, and the related characteristics analysis to realize multi-path channel modeling analysis of embedded LTE wireless communication network under cloud computing. The experimental data show that the proposed multipath channel modeling analysis is more than the conventional multipath channel modeling analysis, and the analysis error rate is reduced by 14.35%, which is suitable for multi-path channel modeling analysis of embedded LTE wireless communication networks under cloud computing.
