Optimal auction method for wireless network resource distribution based on deep learning

Abstract

The invention discloses an optimal auction method for wireless network resource distribution based on deep learning. A mobile network operator provides a wireless network resource, and a plurality ofusers compete for the resource at the same time, so the operator finds an optimal distribution mechanism, so as to increase the income of the operator. In the conventional resource distribution, the target of the operator is to maximize the social welfare, but the operator pays more attention to his own income, so the income maximization is more reasonable. In the mechanism, the operator employs the deep learning method, and searches the optimal auction model through the deep neural network frame. The operator finally needs to decide a distribution rule and decide a pricing strategy through asecond price auction rule, thereby achieving the dynamic distribution of resources, achieving the high-efficiency distribution, and meeting the different demands 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

Images