A data communication switching method and system for automatic driving

Abstract

The invention relates to an automatic driving oriented data communication handover method and system. The method comprises the steps of searching base stations passed by a vehicle according to a driving route of the vehicle; searching a base station coverage range in which the vehicle is currently located according to the speed and a real-time position of the vehicle; determining a next base station entered by the vehicle after the vehicle passes through a current base station and a time point of entering the next base station according to the base station coverage range in which the vehicle is currently located; and handing over the vehicle to the next base station in real time according to the time point at which the vehicle enters the next base station. According to the method and the system, a dynamic network coverage cluster is applied in an automatic driving application scene, the handover time delay is reduced, non-compete random access resources are utilized reasonably, and a handover success rate is improved.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a data communication switching method and system for automatic driving. Background technique [0002] The traditional self-driving car senses the surrounding environment of the vehicle through the on-board sensing system, and controls the steering and speed of the vehicle based on the road, vehicle position and obstacle information obtained from the perception, and automatically plans the driving route, so that the vehicle can be safe and reliable. A smart car that drives on the road accurately and controls the vehicle to reach the predetermined target. However, with the advent of 5G network technology, due to its low-latency, highly reliable wireless transmission characteristics, and information interaction based on wireless communication networks, vehicles can obtain macro driving information that is difficult to obtain by other sensing means, and can rea...

AI Technical Summary

Problems solved by technology

[0018] From the above introduction, it can be seen that the measurement and selection process of T-eNB and the existence of non-competitive random access resources are the main factors leading to the increase of handover delay. The non-competitive random access resources have been used up, but because the network side recovers the non-competitive random access resources too late, it cannot be allocated to other users, so that those users can only access the network through the contention mode

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