CN108199792B - WCDMA base station electromagnetic radiation prediction method - Google Patents

WCDMA base station electromagnetic radiation prediction method Download PDF

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CN108199792B
CN108199792B CN201810104417.0A CN201810104417A CN108199792B CN 108199792 B CN108199792 B CN 108199792B CN 201810104417 A CN201810104417 A CN 201810104417A CN 108199792 B CN108199792 B CN 108199792B
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base station
distance
electromagnetic radiation
traffic
prediction
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CN108199792A (en
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杨万春
吴涛
谭平安
张园
彭艳芬
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Xiangtan University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/391—Modelling the propagation channel
    • H04B17/3913—Predictive models, e.g. based on neural network models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic

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Abstract

The invention discloses a WCDMA base station electromagnetic radiation prediction method, which comprises the following steps: combining the telephone traffic of the base station and the distance between the prediction point and the base station, establishing a WCDMA base station electromagnetic radiation prediction model based on the telephone traffic and the points with different distances from the base station, adopting a telephone traffic variation coefficient and a distance variation coefficient, training the prediction model according to the historical telephone traffic data of the WCDMA base station, the distances between the data and different points of the base station and the historical electromagnetic radiation values corresponding to the points, determining the variation coefficient and the correction parameters of the prediction model, inputting the telephone traffic of the base station and the distance between the prediction point and the base station in the prediction period into the trained prediction model, and predicting the electromagnetic radiation values of the different points of the WCDMA base station. The invention considers the traffic change coefficient and the distance change coefficient, can quickly and accurately predict the electromagnetic radiation values of different distance points of the WCDMA base station by the method, and has certain social benefit.

Description

WCDMA base station electromagnetic radiation prediction method
Technical Field
The invention relates to a WCDMA base station electromagnetic radiation prediction method.
Background
The electromagnetic radiation value around the base station is changed along with the change of telephone traffic and the distance between the base station and the electromagnetic radiation value, and the change of the electromagnetic radiation value around the base station has certain regularity with the size of the telephone traffic of the base station and the distance between the base station and the electromagnetic radiation value, and a distance change coefficient and a telephone traffic change coefficient can be established for prediction.
Aiming at the defects in the prior art, the method establishes a WCDMA base station electromagnetic radiation prediction model based on telephone traffic and different distance points from a base station by combining the telephone traffic of the base station and the distance between the prediction point and the base station, adopts the telephone traffic variation coefficient and the distance variation coefficient, trains the prediction model according to historical telephone traffic data of the WCDMA base station, the distance between the data and different point positions of the base station and the historical electromagnetic radiation values corresponding to the point positions, determines the variation coefficient and the correction parameter of the prediction model, inputs the telephone traffic of the base station and the distance between the prediction point and the base station in a prediction time period into the trained prediction model, and predicts the electromagnetic radiation values of the different distance points of the WCDMA base station. Experiments show that the prediction model provided by the patent can quickly and accurately predict the electromagnetic radiation values of different distance points of the WCDMA base station.
Disclosure of Invention
In order to solve the above technical problems, the present invention provides a method for predicting electromagnetic radiation of a WCDMA base station.
The technical scheme for solving the technical problems comprises the following steps:
1) establishing a base station electromagnetic radiation prediction model taking the traffic of the WCDMA base station and the distance between the prediction point and the base station as input, wherein the prediction model is as follows:
Eij＝b+cHj+kYi (1)
wherein E isijFor WCDMA base station at traffic volume of HjAt a distance of Y from the base stationiThe predicted value of the electromagnetic radiation of the point is in the unit of v/m and HjThe unit is Erl, Y for the traffic of the base station in j time periodiThe unit is m, b is a correction parameter, c is a traffic change coefficient, and k is a distance change coefficient;
2) training the historical traffic data of the WCDMA base station, the distances between the historical traffic data and different point locations of the base station and the historical electromagnetic radiation values corresponding to the point locations, training the prediction model in the step 1, and determining the values of a correction parameter b, a traffic change coefficient c and a distance change coefficient k of the prediction model through training;
3) and substituting the telephone traffic of the WCDMA base station in the prediction time period and the distance between the prediction point and the base station into the prediction model determined in the step 2, and predicting the electromagnetic radiation values of different distance points of the WCDMA base station.
In the above method for predicting electromagnetic radiation of a WCDMA base station, in step 2), the prediction model in step 1 is trained according to historical traffic data of the WCDMA base station, distances between different point locations of the base station and historical electromagnetic radiation values corresponding to the point locations, and the training mode of the model is as follows:
Figure BDA0001567381520000021
wherein, in the training process, the prediction model is trained through historical data, and the traffic H of the WCDMA base station in the time period of the historical data m is usedmDistance Y from different points of the base stationl1,2, n, inputting training model, and taking different parameter sets b, cK, obtaining different training values
Figure BDA0001567381520000022
Calculating a training value
Figure BDA0001567381520000023
And electromagnetic radiation history value ElmThe error calculation method is as follows:
Figure BDA0001567381520000024
and when the epsilon is less than 0.01n, stopping training, and determining values of a prediction model correction parameter b, a telephone traffic change coefficient c and a distance change coefficient k.
The invention has the beneficial effects that: the method has the advantages that the electromagnetic radiation values of different distance points of the WCDMA base station can be predicted quickly and accurately by the prediction method provided by the patent, and the method has a high reference value for base station construction and environmental protection and has certain social benefits.
Detailed Description
The present embodiment is performed on the premise of the present disclosure, and detailed implementation procedures are given, but the scope of the present disclosure is not limited to the following embodiments.
In the experiment place, in an open and flat area, the implementation object is a teaching building roof base station, the experimental instrument is a spectrum analyzer AT6030D, and the measurement object is a WCDMA base station.
The invention is further described with reference to specific examples, which include the following steps:
the method comprises the following steps: establishing a base station electromagnetic radiation prediction model taking the traffic of the WCDMA base station and the distance between the prediction point and the base station as input, wherein the prediction model is as follows:
Eij＝b+cHj+kYi (4)
wherein E isijFor WCDMA base station at traffic volume of HjAt a distance Yi from the base stationiThe predicted value of the electromagnetic radiation of the point is in the unit of v/m and HjThe unit is Erl, Y for the traffic of the base station in j time periodiThe unit is m, b is a correction parameter, c is a traffic change coefficient, and k is a distance change coefficient.
Step two: and (3) training the historical traffic data of the WCDMA base station, the distances between the historical traffic data and different point positions of the base station and the historical electromagnetic radiation values corresponding to the point positions, training the prediction model in the step (1), and determining the values of a correction parameter b, a traffic change coefficient c and a distance change coefficient k of the prediction model through training.
In this embodiment, a prediction model is trained on traffic of a WCDMA base station in an m time period, points at distances of 10m, 15m, 20m, and 55m from the base station, and historical electromagnetic radiation values corresponding to the points, and a training mode of the model is as follows:
Figure BDA0001567381520000031
wherein, in the training process, the prediction model is trained through historical data, and the traffic H of the WCDMA base station in the time period of the historical data m is usedm6.316, distance Y from different points of the base stationl1,2, 10, wherein Y is1＝10m，Y2＝15m，Y3＝20m，…，Y10Inputting the training model at 55m, taking different parameter groups b, c and k, and obtaining different training values
Figure BDA0001567381520000032
Calculating a training value
Figure BDA0001567381520000033
And electromagnetic radiation history value ElmError of (2), wherein E1m＝1.222,E2m＝1.211，...,E10m0.854, unit is v/m, and error calculation mode is as follows:
Figure BDA0001567381520000034
when epsilon is less than 0.01 multiplied by 10, namely when epsilon is less than 0.1, the training is stopped, the prediction model parameters are determined, the correction parameter b is 0.356, the traffic volume change coefficient c is 0.1476, and the distance change coefficient k is-0.006583.
Step three: and (3) substituting the telephone traffic of the WCDMA base station in the prediction time period and the distance between the prediction point and the base station into the prediction model determined in the step (2), and predicting the electromagnetic radiation values of different distance points of the WCDMA base station.
In this embodiment, the base station traffic H is setj7.216 in Erl units, and distance Y from a different point of the base stationiWherein Y isiIs 10,20,30, …,60, and the unit is m, and the prediction is input into the trained prediction model, as follows:
Eij＝0.356+0.1476Hj-0.006583Yi (7)
will predict the input value HjAnd YiSubstituting into the trained prediction model equation (7), wherein the predicted values and the measured values are shown in the following table:
TABLE 1 prediction value EijAnd presentation of measured values
Figure BDA0001567381520000035
Figure BDA0001567381520000041
The prediction result shows that the electromagnetic radiation values of different distance points of the WCDMA base station can be rapidly predicted by inputting the telephone traffic of the base station and the distance between the prediction point and the base station into the prediction model, and meanwhile, the experimental result shows that the predicted value and the measured value of the electromagnetic radiation of different point positions of the WCDMA base station are relatively similar, which shows that the electromagnetic radiation values of different distance points of the WCDMA base station can be rapidly and accurately predicted by using the method, and the effectiveness of the method used by the invention is verified by the experimental result.

Claims (1)

1. A WCDMA base station electromagnetic radiation prediction method is characterized by comprising the following steps:
1) establishing a base station electromagnetic radiation prediction model taking the traffic of the WCDMA base station and the distance between the prediction point and the base station as input, wherein the prediction model is as follows:
Eij＝b+cHj+kYi (1)
wherein E isijFor WCDMA base station at traffic volume of HjAt a distance of Y from the base stationiThe predicted value of the electromagnetic radiation of the point is in the unit of v/m and HjThe unit is Erl, Y for the traffic of the base station in j time periodiThe unit is m, b is a correction parameter, c is a traffic change coefficient, and k is a distance change coefficient;
2) training the historical traffic data of the WCDMA base station, the distances between the historical traffic data and different point locations of the base station and the historical electromagnetic radiation values corresponding to the point locations, training the prediction model in the step 1, and determining the values of a correction parameter b, a traffic change coefficient c and a distance change coefficient k of the prediction model through training;
the training pattern of the model is as follows:
Figure FDA0002909285030000011
wherein, in the training process, the prediction model is trained through historical data, and the traffic H of the WCDMA base station in the time period of the historical data m is usedmDistance Y from different points of the base stationlAnd l 1,2, n, inputting the training model, taking different parameter groups b, c and k, and obtaining different training values
Figure FDA0002909285030000012
Calculating a training value
Figure FDA0002909285030000013
And history of electromagnetic radiationValue ElmThe error calculation method is as follows:
Figure FDA0002909285030000014
when epsilon is less than 0.01n, stopping training, and determining values of a prediction model correction parameter b, a telephone traffic change coefficient c and a distance change coefficient k;
3) and substituting the telephone traffic of the WCDMA base station in the prediction time period and the distance between the prediction point and the base station into the prediction model determined in the step 2, and predicting the electromagnetic radiation values of different distance points of the WCDMA base station.
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