Mobile collaborative calculation method and device

Abstract

The invention discloses a mobile collaborative calculation method comprising the following steps: using the features that mass wireless devices exist in a wireless network and each device has certain computing resources and communication resources, allowing a local device to search a surrounding auxiliary device with the same idle period according to preset rules, and using the auxiliary device computing resource to assist the local device for collaborative calculation; allowing the auxiliary device to use the communication resource to transfer the local device to a mobile edge communication system, and realizing collaborative communication; optimizing a transmission time, computing task segmentation and transmission power, thus realizing minimum energy loss. The calculation and communication cooperation with the auxiliary device can solve the mobile edge calculation deep fading and computing / communication resource limitation problems, thus improving the mobile edge calculation performances; the invention also discloses a mobile collaborative calculation device realizing said technical effects.

Description

technical field [0001] The present invention relates to the technical fields of wireless communication network and cloud computing, and more specifically, to a method and device for mobile cooperative computing. Background technique [0002] Thanks to the continuous advancement of information and communication technology, a large number of emerging intelligent applications, such as augmented reality and autonomous driving, have emerged. The successful implementation of these applications requires large-scale wireless devices to perform computationally intensive and time-delay demanding computing tasks. . Generally speaking, wireless devices are small in size and have limited battery power supply. How to enhance the computing power and reduce computing latency of these devices is an urgent challenge to be solved. At present, although cloud computing can provide rich computing resources and powerful computing capabilities, the cloud server is usually located in the core netwo...

AI Technical Summary

Problems solved by technology

However, due to the uncertainty of the wireless channel and the sharp increase in the number of wireless device access, mobile edge computing still faces a series of application challenges

First, when the wireless device is far from the access point and the wireless channel is in deep fading, the computational advantages of mobile edge computing are fundamentally limited by the communication performance or task migration performance

Second, with the sharp increase in the number of wireless devices, the demand for communication energy for access points and computing power for server computing will also sharply increase, and will fundamentally limit the performance of mobile edge computing

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