FAHP-integrated learning based LTE cell load evaluation method

Abstract

The invention relates to an LTE cell load evaluation method, especially to an FAHP- integrated learning based LTE cell load evaluation method. The method includes the following steps: (1) obtaining LTE cell original performance indexes, and calculating key performance indexes; (2) constructing an LTE cell load evaluation index system; (3) determining LTE cell load evaluation standards; (4) determining index weights of large, medium and small service cells by using a analytic hierarchy process; (5) determining evaluation classifications of learning samples by using a fuzzy comprehensive evaluation method and Kmeans clustering; and (6) generating an automatic evaluation model by using an integrated learning method. According to the method, the LTE cell load is automatically evaluated by using the integrated learning model, the accuracy is improved compared with that of a conventional machine learning algorithm, mobile operator network optimization departments can be guided to effectivelymonitor the LTE call load, and so labor and time costs are greatly reduced.

Description

technical field [0001] The present invention relates to a method for evaluating the load of an LTE (Long Term Evolution) cell, more specifically, to a method for evaluating the load of an LTE cell based on FAHP (Fuzzy analytic hierarchy process)-integrated learning. Background technique [0002] With the full rollout of 4G networks and the continuous expansion of LTE network construction scale, mobile operators will monitor the operating status of LTE cells in real time, and LTE equipment will periodically generate cell performance indicators for query and analysis. The current cell performance load analysis mainly relies on network optimization personnel to calculate key performance indicators and monitor the key performance indicators of LTE cells based on the original performance indicators of LTE cells through manual methods based on work experience. Based on the channel utilization rate, the cell load is analyzed with reference to the number of effective users and the c...

AI Technical Summary

Problems solved by technology

This evaluation method not only reduces manual participation, but also automatically evaluates LTE cells in the entire network, understands the operation status of the entire network, overcomes the situation of low performance utilization of some LTE cells, and poor user perception, and realizes a more comprehensive and objective evaluation of LTE cells. Community Load Evaluation

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