An Optimal Auction Method for Wireless Network Resource Allocation Based on Deep Learning

Abstract

The invention discloses an optimal auction method for wireless network resource allocation based on deep learning. Mobile network operators provide wireless network resources, and multiple users compete for resources at the same time. Operators thus find the optimal allocation mechanism and increase their own income. . In traditional resource allocation, the operator's goal is to maximize social welfare, but for the operator, it pays more attention to its own income, so income maximization is more reasonable. In this mechanism, the operator adopts the deep learning method and uses the deep neural network framework to find the optimal auction model. Operators ultimately need to determine the allocation rules and determine the pricing strategy through the second-price auction rules, so as to dynamically allocate resources, achieve efficient allocation, and meet different needs of users.

Description

technical field [0001] The invention belongs to the technical field of wireless resource allocation in wireless virtualization, and specifically relates to an optimal auction method for wireless network resource allocation based on deep learning, which is mainly used to ensure efficient and flexible allocation of resources in a virtualized network and meet user needs. Improve the utilization rate of resources, reduce operating costs and expenditure costs, so that the overall economic benefits are improved. Background technique [0002] Virtualization technology has been widely used in wired networks for decades, but with the increasing number of services and traffic in wireless networks, it is necessary to extend virtualization technology to wireless network environments. The basic point of wireless virtualization is to abstract physical network infrastructure and resources into virtual wireless network resources. Through wireless virtualization, the overall resource utiliz...

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: In order to overcome the deficiencies in the prior art and literature, the present invention provides an optimal auction method for wireless network resource allocation based on deep learning, which is mainly used to build an auction between a single mobile virtual operator and multiple users. Virtual resource dynamic allocation market, thus solving the problem of resource allocation in wireless virtualized networks

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