Non-orthogonal multiple access-based edge computing system control joint optimization method and application

Abstract

The invention belongs to the technical field of wireless communication, and discloses a non-orthogonal multiple access-based edge computing system control joint optimization method and application. The method comprises: initializing parameters; performing unloading decision and local computing resource allocation optimization according to the feasibility of local execution and the maximum delay limit of task processing; performing access control optimization; sorting all users; using a maximum independent set MWIS method in a graph theory to carry out joint user pairing, subcarrier distribution and sending power control: all feasible user pairs and subcarrier distribution forming a graph, and each node in the graph being a combination of one feasible user pair and one subcarrier; wherein the sending power of each user is distributed according to the maximum time delay requirement; generating a maximum independent set of graphs. According to the invention, as many user tasks as possible are executed, and as much energy consumption as possible is saved for users; the method can be applied to various Internet of Things scenes requiring large capacity and low energy consumption.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an edge computing system control joint optimization method and application. Background technique [0002] At present: With the rapid development of the Internet of Things technology, a large number of intelligent user terminals and various Internet of Things devices are pouring into the wireless network, and various intelligent applications emerge in endlessly. While the Internet of Things brings great convenience, it also brings many challenges. (1) Most intelligent applications often have extremely high requirements for delay. Due to the limitation of device volume, many IoT devices or user terminal devices (collectively referred to as terminal devices) often cannot meet the stringent requirements for delay; (2) Most smart applications are often energy-intensive or computing-intensive and consume a lot of energy. Running these applications will great...

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Problems solved by technology

[0004] At the same time, for NOMA to be able to successfully combine MEC with the IoT system, several problems must be solved: (1) If there are too many offloaded users, it will cause serious co-channel interference during NOMA data transmission. The complexity and economic cost of networked devices will also make the channel worse, resulting in lower transmission rates and poorer task offloading performance

[0006] Through the above analysis, the problems and defects of the existing technology are as follows: the existing literature often conducts research on a single aspect of energy consumption, delay and capacity, but in reality it is often necessary to take these into consideration; computing offloading decisions , access control, user pairing, resource allocation and other optimization methods are non-convex, difficult to solve or the solution complexity is too high, it is difficult to apply in practice

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