A Markov Chain-Based Method for Predicting Load Status Information of Communication Networks

Abstract

The invention relates to a communication network load condition information forecasting method based on a Markov chain and belongs to the technical field of wireless communications. The method comprises the following steps that 1, current and historical load condition data information of a communication network is obtained and counted; 2, the Markov chain formed by the network load condition information is used for studying one set of condition information, and a condition transfer matrix is worked out; 3, by utilization of the condition transfer matrix obtained in the second step and in combination with the current network load condition information, the future network load condition information is forecasted; 4, the condition information forecasting value and an actual value are compared, and the forecast error probability is calculated; 5, the forecast error probability and the system error threshold are compared, and the system counted study time is adjusted according to the result. The method can accurately forecast the load information of the communication network, the system counted study time can be intelligently adjusted, the method adapts to dynamic changes of the network, and the forecasting accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and relates to a method for predicting load state information of a communication network based on a Markov chain. Background technique [0002] LTE adopts Orthogonal Frequency Division Multiple Access (OFDMA), and different users in the same cell can be distinguished by differences in time and subcarriers. In order to achieve the highest spectrum efficiency, LTE usually adopts the same-frequency networking mode, that is, each adjacent cell uses the same carrier. At this time, different users in adjacent cells, especially users at the edge of the cell, may receive signals of the same frequency from two or more cells at the same time. When the same-frequency signals from each cell are strong, the user will be seriously interfered, which will affect the communication quality. [0003] Inter-cell interference coordination on the same frequency in the time domain in the LTE network is...

AI Technical Summary

Problems solved by technology

However, in the LTE system, the base station communicates with the base station through the X2 interface. The interaction process generally brings a transmission delay of more than 10ms. Therefore, if you first perceive the current network service load status, and then pass the signaling , and finally adjust the ABS configuration. At this time, the ABS configuration has lagged behind the actual network service load changes, and it is difficult to guarantee the timeliness of the ABS configuration mode.

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