Virtual cell selection method taking user as center

Abstract

The invention provides a virtual cell selection method taking a user as a center. The method comprises the steps that access points carry out statistics on current load parameters and the number of to-be-accessed users and calculate load prediction values of the access points; the access points transmit the load prediction values; a user obtains channel state information and the load prediction values of adjacent access points, selects an access point combination as a cooperative access point combination according to a preset target function of the user and determines a priority sequence of each access point in the cooperative access point combination; the user initiates random access to the access points which are selected and are not accessed based on the priority sequence of each access point in the cooperative access point combination; and the successfully accessed access points form virtual cells taking the user as the center, thereby transmitting data for the user. According to the method, the user automatically selects the cooperative access points according to the channel state information and load prediction values of the access points, and the purposes of improving the data rate and access probability of the user are realized by reducing the probability that the user selects the high load access points.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a user-centered virtual cell selection method. Background technique [0002] In recent years, with the development of wireless communication technology and the popularization of smart terminals, the demand of mobile users for data communication has increased significantly. In order to support the ever-increasing demand for communication services, the capacity of wireless communication networks needs to be continuously increased, and it has become a general trend to deploy more access points in a unit area. For example, in future 5G mobile communication systems, ultra-dense networks have been considered as one of the important ways to meet future communication capacity requirements. In theory, deploying more access points can increase the overall capacity of the system. But in fact, with the increasing density of unplanned deployment of small cells, mobile users m...

AI Technical Summary

Problems solved by technology

These solutions do not specifically consider the load of each access point, nor do they predict the future load of the access point, so users are more likely to select a high-load access point, making it difficult for users to access or not getting enough resources

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