Computing task shunting joint execution time and computing resource consumption optimization method based on non-orthogonal multiple access

Abstract

A computing task shunting joint execution time and computing resource consumption optimization method based on non-orthogonal multiple access comprises the following steps that (1) arranging an intelligent terminal is arranged in the coverage range of a cellular network base station integrated with an edge computing server, and describing an optimization problem is described as an SCM problem; (2)transforming an SCM problem twice into a problem SCM-E2, and decompsing the problem SCM-E2 into two sub-problems (3), proposing SubBiSec algorithm and TopLS algorithm respectively for solution; converting the SCM problem into a problem SCM-twice; e2, a problem SCM-is solved; (3) respectively proposing a Sub BiSec algorithm and a TopLS algorithm to solve the two sub-problems; (4) using the SubBiSec algorithm is used for solving the problem through the logarithmic search under the given t condition; and (5) enabling the TopLS algorithm carries to carry out enumeration on the t meeting the constraint condition, and calling the SubBiSec algorithm is called for each enumeration t to calculate the minimum value in the extraction. According to the invention, the system transmission efficiency is improved, the total cost of bandwidth resources and edge server computing resources is saved, and higher wireless network experience quality is obtained.

Description

technical field [0001] The invention belongs to the communication field, and optimizes the total delay required by an intelligent terminal to complete all computing workloads and the cost of computing resources consumed by an edge computing server based on multi-access edge computing of non-orthogonal multiple access. Background technique [0002] The rapid development of IoT services requires a lot of computing resources. However, traditional IoT devices are usually equipped with limited computing resources, which leads to large delays when performing computationally demanding tasks. Multi-access edge computing (Mobile edge computing, MEC) can migrate part of the computing tasks to the edge computing server located in the cellular network base station, thereby reducing the computing time for executing tasks. However, the use of edge computing servers will generate corresponding computing resource usage costs. Contents of the invention [0003] In order to overcome the d...

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Problems solved by technology

[0003] In order to overcome the difficulties of the existing smart terminals that require a total delay and excessive cost of computing resources to complete all computing workloads, the present invention provides a non-orthogonal multiple access-based computing task distribution joint execution time and computing resource consumption optimization method, The non-orthogonal multiple access-based multi-access edge computing is studied to optimize the total delay required by smart terminals to complete all computing workloads and the corresponding computing resource usage costs generated by edge computing servers

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