Distribution type method for adjusting small base station transmitting power bias values in self-adaptive mode

Abstract

The invention discloses a distribution type method for adjusting small base station transmitting power bias values in a self-adaptive mode. Under the condition that the return link capacity of a small base station is limited, the Q-learning method in machine learning is used for adjusting small base station transmitting power bias in the self-adaptive mode to share macro honeycomb loads, and the utilization rate of small base station return link resources is improved. Through the Q-learning method in machine learning, each small base station can conveniently monitor the number of peripheral users and changes of user distribution in real time, reference signal power bias values of the small base station are timely adjusted to obtain the optimal bias value selection under the current condition, and therefore the resources of the small base station are fully utilized for achieving the load sharing function for a macro bass station. The method can effectively improve system capacity and the covering effect, facilitates operation cost saving of the macro base station, and achieves green communication.

Description

technical field [0001] The invention relates to the communication field, in particular to a method for distributed self-adaptive adjustment of the transmission power offset value of a small base station. Background technique [0002] In the next-generation wireless communication technology, heterogeneous networks are of great help in improving system capacity and coverage effects, and providing better data services. In a heterogeneous network, some small base stations with low power consumption and low cost are used to share the data service tasks of traditional macro base stations. However, limited by its low transmission power, the coverage radius of the small base station is small, and generally it can only serve a small number of users. When deploying small base stations, each small base station will be assigned a fixed backhaul link resource, which leads to the resources of the small base station not being fully utilized. On the other hand, the macro base station may s...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for distributed self-adaptive adjustment of the transmission power offset value of the small base station to solve the problem that the resource utilization rate of the small base station is quite low when the small base station shares the load for the macro base station in the current situation

Images