Heterogeneous network time domain interference coordination method and system based on user fairness

Abstract

The invention provides a heterogeneous network time domain interference coordination method and system based on user fairness. A heterogeneous network comprises a macro base station and at least one picocell base station within a coverage range of the macro base station. The method includes the steps that a Poisson point distribution model is adopted for modeling network deployment of the heterogeneous network to obtain a heterogeneous network model; the heterogeneous network model is adopted for respectively calculating network fairness indexes of the heterogeneous network and the system capacity in a unit geographic area; a multi-target planning model is built, the reception reference signal measurement offset and the time domain almost-blank subframe density of the heterogeneous network model serve as variables, and the network fairness indexes and the system capacity in the unit geographic area serve as objective functions; an optimal solution of the multi-target planning model is calculated, the reception reference signal measurement offset and the time domain almost-blank subframe density is set according to the optimal solution. By means of the heterogeneous network time domain interference coordination method and system, the fairness of wireless network resources of all users can be guaranteed, and meanwhile the total system capacity of the stacked heterogeneous network can be improved.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method and system for coordinating time-domain interference of heterogeneous networks based on user fairness. Background technique [0002] The rapid development of mobile communications has driven the explosion of mobile Internet and high-bandwidth data services, which makes traditional network construction solutions unable to meet the development needs of subsequent data services. In order to meet the needs of network capacity growth, it has become an inevitable trend of mobile network construction to use heterogeneous network (Heterogeneous deployments) framework for deep coverage through cell splitting. However, the multi-level, multi-cell, and multi-carrier heterogeneous network composed of macro base stations (Macro eNodeB, MeNB) and dense pico base stations (Pico eNodeB, PeNB) will also face a series of problems, the most prominent is the heterogen...

AI Technical Summary

Problems solved by technology

[0005] In the prior art, there is no specific calculation and measurement method for the measurement offset of the received reference signal extended in the cell area and the proportion of blank subframes in time-domain interference coordination, but only the corresponding parameter setting range, without considering different network deployments It is difficult to take into account the impact of network deployment parameters such as base station deployment density, user density, and base station transmission power under different technical parameter settings

At the same time, the existing technology ignores the impact on the user's own communication quality. When the two technologies are used jointly, the impact on the communication quality of each individual user is not considered, and the impact on the entire network capacity is more considered.

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