Processing method and device for reducing automobile calculation overhead and storage medium

Abstract

The invention belongs to the field of wireless communication, and discloses a processing method and device for reducing automobile computing overhead and a storage medium, and the method comprises thesteps: obtaining the channel bandwidth, the Gaussian white noise power, the path loss index and the relative position data of an automobile and a base station at the moment t of the wireless communication environment where the automobile is located; optimizing and calculating the transmission power, the uploading time, the data unloading proportion and the local calculation frequency for minimizing the weighting of the transmission time delay and the automobile energy consumption according to the obtained data; and according to the obtained transmission power and data unloading proportion, unloading the automobile calculation task part to an MEC server to carry out MEC auxiliary calculation. According to the method, the transmission power, the uploading time, the data unloading proportionand the local calculation frequency are comprehensively considered for optimization to obtain each element value enabling the transmission time delay and the energy efficiency weighting to be minimum, and the MEC assisted automobile calculation process is controlled according to the obtained values, so that the calculation overhead of the automobile is more reasonably reduced.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a processing method, device and storage medium for reducing computing overhead of automobiles. Background technique [0002] The rapid development of the Internet of Things (IoT) has promoted the emergence of various computing-intensive and delay-sensitive emerging vehicle applications, such as autonomous driving, virtual reality, image-assisted navigation, and augmented reality driving. These applications require a large amount of computing resources to process and analyze massive sensing data in real time, which poses a huge challenge to a single vehicle with limited computing resources. Mobile Cloud Computing (MCC) offloads computing tasks to remote cloud servers through wireless networks, which can effectively improve computing performance and resource utilization, but delay fluctuations are greatly reduced due to long-distance transmission between vehi...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a processing method, device and storage medium for reducing vehicle computing overhead, which are used to solve the problem that a reasonable optimal calculation solution cannot be obtained due to a single consideration factor in the current MEC-assisted vehicle calculation

Images