Network parameter optimization method and device

Abstract

The invention discloses a network parameter optimization method and device, which are used for realizing online network parameter optimization. The method comprises the following steps: a first functional entity sends an evaluation model to a second functional entity, wherein the evaluation model is used for the second functional entity to determine a first network parameter adjustment action executed by a network element in a first network environment state; the first functional entity receives information of the first network parameter adjustment action; the first functional entity updates the evaluation model according to the information of the first network environment state, the information of the first network parameter adjustment action, the information obtained after the network element executes the first network parameter adjustment action and the information of the second network environment state after the network element executes the first network parameter adjustment action; and the first functional entity sends the updated evaluation model to the second functional entity, wherein the updated evaluation model is used for the second functional entity to determine a second network parameter adjustment action executed by the network element in a second network environment state.

Description

technical field [0001] The embodiments of the present application relate to the field of communication technologies, and in particular, to a method and device for optimizing network parameters. Background technique [0002] Radio resource management (radio resource management, RRM) is to rationally allocate and effectively manage the limited radio resources in the mobile communication system, so that the system performance and capacity can be jointly optimal. The basic starting point is to flexibly allocate and dynamically adjust the available resources of the wireless transmission network when the network traffic distribution is uneven and the channel characteristics fluctuate due to channel fading and interference. The goal is to ensure the quality of service of the network. , QoS) to maximize spectrum utilization and system capacity. Wireless resources mainly include time, frequency, power and so on. The functions of RRM are all based on the allocation and adjustment of...

AI Technical Summary

Problems solved by technology

Therefore, the pilot power configured by default cannot maximize the network efficiency

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