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

Abstract

A non-orthogonal multiple access-based computing task offloading joint execution time and computing resource consumption optimization method, comprising the following steps: (1) There is an intelligent terminal under the coverage of a cellular network base station integrating an edge computing server, the optimization problem Described as an SCM problem; (2) Transform the SCM problem twice into the problem SCM‑E2, and decompose the problem SCM‑E2 into two sub-problems (3) Propose the SubBiSec algorithm and the TopLS algorithm to solve it respectively; (4) SubBiSec The algorithm solves the problem by bisection search θ under the condition of given t; (5) The TopLS algorithm enumerates t that meets the constraint conditions, and calls the SubBiSec algorithm to calculate the minimum value for each enumeration t . The present invention improves system transmission efficiency, saves bandwidth resources and the total cost of edge server computing resources, and obtains better wireless network experience quality.

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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