Research Article
Research on statistical method of channel information transmission risk probability in large-scale wireless communication system
@INPROCEEDINGS{10.4108/eai.27-8-2020.2294701, author={feng ma and Hong-e WU}, title={Research on statistical method of channel information transmission risk probability in large-scale wireless communication system}, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={wireless communication system; communication channel; information transmission; risk probability statistics;}, doi={10.4108/eai.27-8-2020.2294701} }
- feng ma
Hong-e WU
Year: 2020
Research on statistical method of channel information transmission risk probability in large-scale wireless communication system
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2294701
Abstract
In order to improve the communication security of the large-scale wireless communication system channel during the information transmission process, the probability transmission method is used to analyze the information transmission risk and provide data reference for the operation of the wireless communication system.Follow the operating principle of a large-scale wireless communication system to build a system's information transmission channel model, and install information acquisition equipment to obtain channel information. Based on this, the optimal risk decision rule is established, and the channel transmission interference is predicted. At the same time, the channel fading characteristics are analyzed.The statistical value of the risk probability is obtained by calculating the interference prediction results and the channel fading characteristics of the system information transmission channel.Through comparative experiments, it is concluded that compared with the traditional statistical methods of risk analysis, the statistical error of the risk probability obtained by the design method is reduced by about 56%. Applying this method to the daily work of the system can effectively maintain the stability of wireless communication and safety.