Abstract With the rapid economic development of our country, the number of private cars has increased sharply, which has brought great pressure to the domestic transportation system. At the same time, with the development of communication technology, the amount of data transmitted in 5G communication system has also increased significantly, and users have higher and higher requirements for communication quality. All these have prompted people to put forward new requirements for HARQ re-transmission mechanism, mainly reflected in the pursuit of data transmission rate and system reliability. The traditional HARQ mechanism will bring a lot of redundant re-transmission when the amount of data is large, which will lead to the system performance decline. In order to improve the success rate of information transmission when vehicles pass each other, this paper studies the vehicle-mounted information transmission mechanism. In this case, this paper presents a new hybrid information re-transmission technology, is firstly established by using Matlab simulation software simulation environment to get the data, packet real-time prediction calculation model is established, then based on cloud computing, real-time monitoring of the network environment for predicting to may transmit packets to a transmission or re-transmission consecutive time delay. Taking multiple linear regression and dynamic analytic hierarchy process as the core, the real-time prediction model of data transmission block error rate is constructed, and the framework of decision making and implementation rules of two alternative schemes is set up.
Shih‐Yang LinMiao-Hui YangShuo Jia
Behrooz MakkiTommy SvenssonThomas ErikssonMohamed‐Slim Alouini