Multi-user computing unloading resource optimization decision-making method based on D2D communication

Abstract

The invention requests to protect a multi-user computing unloading resource optimization decision method based on D2D communication, and belongs to the technical field of mobile communication. The method comprises the following steps: 1, establishing a data communication model based on D2D communication; 2, respectively establishing calculation overhead models including time and energy overhead in the task transmission stage and the task execution stage; 3, establishing a global optimization problem for minimizing the total calculation overhead of all users of the whole system; 4, establishing a preference sequence of the bilateral users by taking the calculated total overhead as a sorting basis; 5, based on the established preference sequence, obtaining a resource optimization decision of multi-user D2D calculation unloading by using a stable matching algorithm. The calculation unloading method based on D2D communication is beneficial to reducing unloading time delay and energy overhead, a resource optimization decision of calculation unloading is obtained by using a stable matching algorithm, compared with a random matching method, the total calculation overhead of the system can be effectively reduced, and performance very close to the optimal exhaustion search method can be obtained with low calculation complexity.

Description

technical field [0001] The present invention relates to the technical field of mobile communication, in particular to a resource optimization decision-making method for multi-user computing offloading through D2D communication, which can help to improve the shortage of computing resources in mobile communication networks, and at the same time reduce computing offloading delay and energy consumption resource optimization decision-making method. Background technique [0002] With the development and commercialization of the fifth generation of mobile communication (Fifth Generation, 5G), more and more mobile applications, such as the Internet of Things, augmented reality, video stream processing, etc., require not only high-speed data transmission but also powerful computing resources. New delay-sensitive applications are rapidly gaining popularity. In order to be able to sufficiently support these applications that have special requirements for computing resources and latenc...

AI Technical Summary

Problems solved by technology

Considering the advantages of D2D offloading, D2D communication-assisted offloading decision-making methods have attracted attention, but at present, most D2D-assisted computing offloading decision-making algorithms have very high computational complexity, and the optimization goal is to minimize the delay as a single goal. , but the energy consumption of D2D devices is also the focus of consideration. There are still some methods that only use the concept of D2D offloading, and the communication between devices still uses cellular communication.

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