Resource optimal distribution method and device based on correlation equilibrium regret value matching

Abstract

The invention discloses a resource optimal distribution method and device based on correlation equilibrium regret value matching. The method comprises the following steps: constructing an ultra-densewireless network model about a plurality of user nodes by taking system throughput maximization as an optimization target; according to the ultra-dense wireless network model, modeling the multi-dimensional spectrum access optimization problem of the user nodes as a non-cooperative game model; based on the non-cooperative game model, iteratively updating the frequency band selection of the user node through a regret value matching algorithm to obtain a coarse correlation equilibrium solution of the non-cooperative game model; and obtaining a multi-dimensional spectrum access mode of the user node according to the coarse correlation equilibrium solution. Through the regret value matching algorithm, the random finiteness of channel selection and the convergence of the learning algorithm areutilized to obtain the frequency spectrum sharing mode meeting the related balanced mixing strategy through regret matching, the fairness among users is ensured, the frequency spectrum utilization rate is improved, and better network performance is achieved.

Description

technical field [0001] The present invention relates to the communication field, in particular to a resource optimization allocation method and device based on correlation equalization regret value matching in an ultra-dense wireless network. Background technique [0002] With the rise of the mobile Internet and the advent of the era of big data, the demand for mobile data transmission in terms of quantity and quality has shown geometric growth. However, the contradiction is the increasing scarcity of limited wireless transmission resources. On the other hand, green communication and low-carbon life have become the inevitable requirements of sustainable development, which also brings more and more challenges to the performance management and service quality of wireless communication networks. In order to meet end users' demands for high-quality, high-speed transmission, ultra-dense wireless networks are an important solution to this challenge. In the ultra-dense wireless ne...

AI Technical Summary

Problems solved by technology

In the ultra-dense wireless network environment, traditional resource allocation algorithms are no longer applicable to the development of future networks

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