User task unloading and resource allocation joint optimization method under 5G ultra-dense heterogeneous network

Abstract

The invention provides a user task unloading and resource allocation joint optimization method under a 5G ultra-dense heterogeneous network, and the method comprises the steps: in the first part, introducing an interference management mechanism, and carrying out the clustering of micro base stations based on an improved K-means clustering algorithm; and in the second part, obtaining system cost functions about the macro user and the micro user according to the local processing model and the unloading processing model respectively, and decomposing the system cost functionsinto a plurality of sub-problems to be optimized, so as to achieve reasonable allocation of communication resources and computing resources. According to the invention, the fairness of channels divided by users can be ensured; the unloading scheme based on the cost value comparison method is simple in algorithm and low in time complexity.

Description

technical field [0001] The invention belongs to the field of mobile edge computing, and relates to a joint optimization algorithm for user task offloading and resource allocation under a 5G ultra-dense heterogeneous network. Background technique [0002] Mobile Edge Computing (Mobile Ege Computing, MEC), as one of the core technologies of the fifth generation mobile communication, handles resource-intensive and delay-sensitive applications by deploying storage resources and computing resources at the edge of the network, such as augmented reality, wireless In-person classrooms, remote operations, etc. In the context of the Internet of Everything, the data generated by terminal devices has reached a massive level, and cloud computing under the centralized big data processing mode can no longer cope. Mobile edge computing migrates computing tasks that originally need to be transmitted to remote cloud centers to network edge devices to improve data transmission performance, en...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of user task processing delay and high energy consumption under 5G ultra-dense heterogeneous networks, and propose a joint optimization method for user task offloading and resource allocation under 5G ultra-dense heterogeneous networks. The management mechanism is introduced into the 5G ultra-dense heterogeneous network to eliminate the same-layer interference and cross-layer interference, and then use related optimization algorithms to rationally allocate communication resources and computing resources for terminal devices, and use the cost value comparison method to make unloading decisions, thereby minimizing the network system cost

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