CN107071814A - A kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic - Google Patents
A kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic Download PDFInfo
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- CN107071814A CN107071814A CN201710286874.1A CN201710286874A CN107071814A CN 107071814 A CN107071814 A CN 107071814A CN 201710286874 A CN201710286874 A CN 201710286874A CN 107071814 A CN107071814 A CN 107071814A
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- 230000005670 electromagnetic radiation Effects 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000005540 biological transmission Effects 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 10
- 230000007613 environmental effect Effects 0.000 abstract description 4
- 238000010276 construction Methods 0.000 abstract description 2
- 230000005855 radiation Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000010295 mobile communication Methods 0.000 description 3
- 230000005684 electric field Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000000149 penetrating effect Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000004980 dosimetry Methods 0.000 description 1
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Classifications
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- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/36—Statistical metering, e.g. recording occasions when traffic exceeds capacity of trunks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- Computer Networks & Wireless Communication (AREA)
- Mobile Radio Communication Systems (AREA)
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Abstract
The invention discloses a kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic, it is comprised the following steps that:The traffic data and total carrier frequency number of base station for a period of time are obtained by operator first, average computation is weighted in units of hour to telephone traffic, the average traffic amount of the single carrier frequency in base station each hour is obtained;According to the average traffic amount of acquisition and Ireland B formula, when calculating different telephone traffics, the actual emission power of the single carrier frequency in base station;By the actual emission power of the single carrier frequency in base station, electromagnetic radiation intensity caused by the prediction single carrier frequency in base station.The present invention considers influence of the change of telephone traffic to base station ambient electromagnetic radiation intensity; can accurately, easy base station electromagnetic radiation intensity be predicted and estimated; this method has great reference value to base station construction, environmental impact assessment and environmental protection, with certain social benefit.
Description
Technical field
The present invention relates to a kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic.
Background technology
It is more and more important to the electromagnetic radiation intensity prediction around base station with communication base station quantity cumulative year after year.At present
When predicting the electromagnetic radiation distribution research around base station or electromagnetic radiation intensity, the Base Transmitter work(of maximum is all based on greatly
Rate is predicted, and this prediction is often larger with actual measured results deviation, and this is due to that GSM employs TDMA technologies, base
Transmission power of standing follows telephone traffic size variation, and when base station communication telephone traffic is big, base station average emitted power will increase
Greatly, the electromagnetic radiation intensity around base station accordingly increases, and when base station communication telephone traffic is small, base station average emitted power will subtract
Small, the electromagnetic radiation intensity around base station is accordingly reduced, therefore, considers that telephone traffic is when being predicted to base station electromagnetic radiation
It is highly desirable to.
For base station electromagnetic radiation and the relation of telephone traffic, document《Influence oftraffic variations on
exposure to wireless signals in realistic environments》(Mahfouz Z,GatiA,
Lautru D,et al.Influence oftraffic variations on exposure to wireless signals
in realistic environments.[J].Bioelectromagnetics,2012,33(4):288-297.) analyze
The statistical property of electromagnetic radiation size, such as Gaussian distributed, but do not provide specific telephone traffic and electromagnetic radiation size
Relation.Document《Long-term exposure to mobile communication radiation:an analysis
oftime-variability ofLong-term exposure to mobile communication radiation:an
analysis of time-variability of electric field level in GSM900downlink
channels》(Miclaus S,Bechet P,Gheorghevici M.Long-term exposure to mobile
communication radiation:an analysis of time-variability of electric field
level in GSM900downlink channels[J].Radiation Protection Dosimetry,2013,154
(2):164-73.) by the substantial amounts of data of measuring instrument acquisition and recording, the change of electromagnetic radiation is mainly reflected by test data
Situation, does not provide specific electromagnetic radiation Forecasting Methodology.Issued patents document CN103874090A, which disclose one
Gsm communication base station electromagnetic radiation Forecasting Methodology, the method that electromagnetic radiation is predicted by power spectral density function are planted, but this is special
Profit needs to count stream of pulses mean density value, and program is cumbersome, takes very much, is obtaining actual hair by power spectral density integration in addition
, it is necessary to which researcher accurately holds the signal bandwidth of integration very much when penetrating power, the otherwise degree of accuracy to prediction has certain shadow
Ring.
For the deficiencies in the prior art, the present invention provides a kind of GSM base stations electromagnetic radiation essence based on telephone traffic
True Forecasting Methodology, what this method was accounted for by average traffic amount and Ireland-B formula, it is only necessary to which telephone traffic is specific
Size, statistical average is carried out to telephone traffic in units of hour, just can Accurate Prediction base station electromagnetic radiation intensity.By testing table
Bright, the Forecasting Methodology that patent of the present invention is proposed accurately can be predicted and assess to base station electromagnetic radiation intensity.
The content of the invention
To achieve these goals, the technical solution adopted by the present invention is as follows:A kind of GSM base stations electromagnetism based on telephone traffic
Accurate Forecasting Methodology is radiated, is comprised the following steps:
1), according to base station call amount and total carrier frequency number, the single carrier frequency of calculation base station average traffic amount per hour;
2), the single carrier frequency in the base station average traffic amount per hour obtained according to step 1, with reference to Ireland-B formula, draws
The actual emission power of the single carrier frequency in base station;
3), the single carrier frequency actual emission power in base station obtained by step 2, electromagnetism caused by the single carrier frequency of calculation base station
Radiation intensity.
A kind of above-mentioned accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic, the step 2) in, difference words
During business amount, the actual emission power of the single carrier frequency in base station:
Wherein, PtBase station is represented in different telephone traffics, the actual emission power of single carrier frequency, unit is W, P1Represent base
The specified transmission power stood, unit is W, and m represents to be in the number of busy status slot in a carrier frequency, and p (8, A, m) it is Ai Er
Orchid-B formula, represent that single carrier frequency has 8 time slots, when offered traffic is A, have m time slot to be in busy shape probability of state;
Ireland-B formula are:
Wherein, N represents total timeslot number, and A represents the traffic intensity (telephone traffic) of inflow business, and m represents to be in busy state
Number of time slots.
A kind of above-mentioned accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic, the step 3) in, by not woods
This transmission formula, derive the single carrier frequency in base station caused by electromagnetic radiation intensity, be represented by:
Wherein, S represents electromagnetic radiance density caused by the single carrier frequency in base station, and unit is μ W/cm2, G represent launch day
The gain of line, unit is dB, and d represents the distance between mobile terminal and antenna for base station, and unit is m, P1Represent the specified of base station
Transmission power, unit is W, and A represents the traffic intensity (telephone traffic) of inflow business, and m represents the number of time slots in busy state.
The beneficial effects of the present invention are:The change that this analysis method considers telephone traffic is strong to base station ambient electromagnetic radiation
The influence of degree, is modeled, Neng Goufei with the real-time telephone traffic of communication system to the accurate prediction of GSM base stations electromagnetic radiation intensity
It is often accurate, easy that base station electromagnetic radiation intensity is predicted and estimated, this method to base station construction, environmental impact assessment and
Environmental protection has great reference value, with certain social benefit.
Brief description of the drawings
Fig. 1 is flow chart of the invention.
Embodiment
This sample plot implemented is in spacious flat region, and the barrier of surrounding is less, and the height of base station is 26 meters,
Fixed point integral point measurement is carried out at 30 meters from base station horizontal range, continuous measurement 6min, continuously continues one week per hour.Base station is entered
The instrument and equipment of row field survey is portable frequency spectrum analyzer KEYSIGHT N9918A and cycle logarithm antenna
HyperLOG60180.In embodiment, the specified transmission power of antenna for base station is 20W, and gain is 16dB.Below in conjunction with the accompanying drawings and
The present invention is further illustrated for embodiment.
Fig. 1 represents the FB(flow block) of technical solution of the present invention, concretely comprises the following steps:
1), according to base station call amount and total carrier frequency number, the single carrier frequency of calculation base station average traffic amount per hour;
2), the single carrier frequency in the base station average traffic amount per hour obtained according to step 1, with reference to Ireland-B formula, draws
The actual emission power of the single carrier frequency in base station;
3), the single carrier frequency actual emission power in base station obtained by step 2, electromagnetism caused by the single carrier frequency of calculation base station
Radiation intensity.
In the step 1, according to base station call amount and total carrier frequency number, the single carrier frequency of calculation base station average traffic per hour
Amount, including herein below:
Base station traffic data for a period of time and total carrier frequency number of base station are obtained by operator, the traffic of this experiment
Amount data are obtained by CHINAUNICOM, and telephone traffic is weighted averagely in units of hour, the single carrier frequency in base station is obtained each
Hourly average telephone traffic.There are 8 carrier frequency embodiment base station, 19:The average traffic amount of base station is 25.8128Erl when 00, then
The single carrier frequency in base station is 19:Average traffic amount when 00 is 3.2266Erl.Table 1 is that the embodiment actual measurement single carrier frequency in base station is each
Hourly average telephone traffic.
Table 1 surveys each hourly average telephone traffic of the single carrier frequency in base station
Time | Telephone traffic (Erl) | Time | Telephone traffic (Erl) | Time | Telephone traffic (Erl) | Time | Telephone traffic (Erl) |
1:00 | 0.4870 | 7:00 | 0.2976 | 13:00 | 3.5070 | 19:00 | 3.2266 |
2:00 | 0.2018 | 8:00 | 0.9396 | 14:00 | 2.8652 | 20:00 | 3.6250 |
3:00 | 0.0418 | 9:00 | 1.7238 | 15:00 | 3.4652 | 21:00 | 4.0456 |
4:00 | 0.0148 | 10:00 | 3.9176 | 16:00 | 3.6472 | 22:00 | 1.9970 |
5:00 | 0.0394 | 11:00 | 3.3988 | 17:00 | 3.9202 | 23:00 | 1.0478 |
6:00 | 0.0566 | 12:00 | 2.8166 | 18:00 | 3.4234 | 24:00 | 0.5928 |
In the step 2, the single carrier frequency in the base station average traffic amount per hour obtained according to step 1, with reference to Ireland-B
Formula, draws the actual emission power of the single carrier frequency in base station, including herein below:
PtBase station is represented in different telephone traffics, the actual emission power of single carrier frequency, unit is W, P1Represent the volume of base station
Determine transmission power, during unit is W, the present embodiment, the specified transmission power of base station is 20W, i.e. P1Value be 20W, N represents total
Timeslot number;A represents the traffic intensity (telephone traffic) of inflow business, and m represents the number of time slots in busy state.
Ireland-B formula are expressed as:
With reference to base station call amount and Ireland-B formula, the reality of base station one carrier frequency in the situation of different telephone traffics is obtained
Border transmission power:
Wherein, p (8, A, m) represent that single carrier frequency has 8 time slots, when offered traffic is A, there is m time slot to be in and hurry
When shape probability of state;
With 19:Exemplified by when 00, telephone traffic now is 3.2266Erl, calculates 19:The actual hair of the single carrier frequency in base station when 00
Penetrating power is:
Table 2 is, according to each hourly average telephone traffic in table 1, to calculate the actual emission power for obtaining the single carrier frequency in base station.
The actual emission power of the single carrier frequency in the base station of table 2
Time | Transmission power (W) | Time | Transmission power (W) | Time | Transmission power (W) | Time | Transmission power (W) |
1:00 | 1.2175 | 7:00 | 0.7440 | 13:00 | 8.6167 | 19:00 | 7.9727 |
2:00 | 0.5045 | 8:00 | 2.3490 | 14:00 | 7.1170 | 20:00 | 8.8818 |
3:00 | 0.1045 | 9:00 | 4.3080 | 15:00 | 8.5220 | 21:00 | 9.7918 |
4:00 | 0.0370 | 10:00 | 9.5207 | 16:00 | 8.9310 | 22:00 | 4.9882 |
5:00 | 0.0985 | 11:00 | 8.3705 | 17:00 | 9.5263 | 23:00 | 2.6195 |
6:00 | 0.1415 | 12:00 | 7.0000 | 18:00 | 8.4268 | 24:00 | 1.4820 |
In the step 3, the single carrier frequency actual emission power in base station obtained by step 2, the single carrier frequency of calculation base station
Caused electromagnetic radiation intensity, including herein below:
G represents in the gain of transmitting antenna, the present embodiment that G value is 16dB, and d represents mobile terminal and antenna for base station
The distance between, during unit is m, embodiment, the height of base station is 26 meters, and measurement position is 30 meters apart from base station horizontal range,
By Pythagorean theorem, it is 40 meters that can calculate the value that the distance between future position and antenna for base station are 40 meters, i.e. d, according to
Model and parameter that step 1 and step 2 and step 3 are set up, average electromagnetic radiance caused by the single carrier frequency of calculation base station
Density.
With 19:Exemplified by when 00, as shown in Table 2,19:The actual emission power of the single carrier frequency in base station is 7.9727W when 00, then
Average electromagnetic radiance density S is:
In order to further embody the validity of the inventive method, according to the actual emission power in table 2, calculation base station 24 is small
When average electromagnetic radiance density caused by single carrier frequency, and be compared with the power density of actual measurement, it contrasts knot
Fruit is as shown in table 3:
The base station electromagnetic radiance density calculated value of table 3 is contrasted with actual measured value
As can be seen that base station electromagnetic radiance density calculated value is more or less the same with actual measured value from data comparison,
Illustrate that the accurate prediction of base station electromagnetic radiation can be realized using the method, while demonstrating the effective of method used herein
Property.
Claims (3)
1. a kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic, it is characterised in that comprise the following steps:
1), according to base station call amount and total carrier frequency number, the single carrier frequency of calculation base station average traffic amount per hour;
2), the single carrier frequency in the base station average traffic amount per hour obtained according to step 1, with reference to Ireland-B formula, draws base station
The actual emission power of single carrier frequency;
3), the single carrier frequency actual emission power in base station obtained by step 2, electromagnetic radiation caused by the single carrier frequency of calculation base station
Intensity.
2. a kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic as claimed in claim 1, the step 2)
In, it is characterised in that during different telephone traffics, the actual emission power expression formula of the single carrier frequency in base station is:
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Wherein, PtBase station is represented in different telephone traffics, the actual emission power of single carrier frequency, unit is W, P1Represent base station
Specified transmission power, unit is W, and m represents to be in the number of busy status slot in a carrier frequency, and p (8, A, m) it is Ireland-B
Formula, represents that single carrier frequency has 8 time slots, when offered traffic is A, has m time slot to be in busy shape probability of state;
Ireland-B formula are:
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Wherein, N represents total timeslot number, and A represents the traffic intensity (telephone traffic) of inflow business, m represent in busy state when
Gap number.
3. a kind of accurate Forecasting Methodology of GSM base stations electromagnetic radiation based on telephone traffic as claimed in claim 1, the step 3)
In, it is characterised in that electromagnetic radiation intensity caused by the single carrier frequency in base station, it is represented by:
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Wherein, S represents electromagnetic radiance density caused by the single carrier frequency in base station, and unit is μ W/cm2, PtRepresent base station in difference
During telephone traffic, the actual emission power of single carrier frequency, unit is W, and G represents the gain of transmitting antenna, and unit is dB, and d represents to move
The distance between dynamic terminal and antenna for base station, unit is m, P1The specified transmission power of base station is represented, unit is W, and A represents to flow into
The traffic intensity (telephone traffic) of business, m represents the number of time slots in busy state.
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CN108289001A (en) * | 2018-01-25 | 2018-07-17 | 湘潭大学 | A kind of base stations TD-LTE PDSCH channel electromagnetics radiation prediction technique |
CN108419264A (en) * | 2018-01-25 | 2018-08-17 | 湘潭大学 | A kind of base stations TD-LTE are averaged electromagnetic radiation prediction technique |
CN108616917A (en) * | 2018-05-14 | 2018-10-02 | 湘潭大学 | A kind of LTE base station electromagnetic radiation prediction technique |
CN108923870A (en) * | 2018-05-14 | 2018-11-30 | 湘潭大学 | A kind of base station FDD-LTE electromagnetic radiation period of change detection method |
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CN105653502A (en) * | 2016-03-17 | 2016-06-08 | 湘潭大学 | Analysis method of electromagnetic radiation relevance of communication base station based on genetic algorithm |
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CN108289001A (en) * | 2018-01-25 | 2018-07-17 | 湘潭大学 | A kind of base stations TD-LTE PDSCH channel electromagnetics radiation prediction technique |
CN108419264A (en) * | 2018-01-25 | 2018-08-17 | 湘潭大学 | A kind of base stations TD-LTE are averaged electromagnetic radiation prediction technique |
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CN108616917A (en) * | 2018-05-14 | 2018-10-02 | 湘潭大学 | A kind of LTE base station electromagnetic radiation prediction technique |
CN108923870A (en) * | 2018-05-14 | 2018-11-30 | 湘潭大学 | A kind of base station FDD-LTE electromagnetic radiation period of change detection method |
CN108923870B (en) * | 2018-05-14 | 2021-02-09 | 湘潭大学 | FDD-LTE base station electromagnetic radiation change period detection method |
CN108616917B (en) * | 2018-05-14 | 2022-02-08 | 湘潭大学 | LTE base station electromagnetic radiation prediction method |
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