CN107071814B - GSM base station electromagnetic radiation accurate prediction method based on telephone traffic - Google Patents
GSM base station electromagnetic radiation accurate prediction method based on telephone traffic Download PDFInfo
- Publication number
- CN107071814B CN107071814B CN201710286874.1A CN201710286874A CN107071814B CN 107071814 B CN107071814 B CN 107071814B CN 201710286874 A CN201710286874 A CN 201710286874A CN 107071814 B CN107071814 B CN 107071814B
- Authority
- CN
- China
- Prior art keywords
- base station
- carrier frequency
- telephone traffic
- single carrier
- electromagnetic radiation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
Abstract
The invention discloses a method for accurately predicting electromagnetic radiation of a GSM base station based on telephone traffic, which comprises the following specific steps: firstly, acquiring telephone traffic data and total carrier frequency data of a base station for a period of time through an operator, and performing weighted average calculation on the telephone traffic in hours to obtain the average telephone traffic of a single carrier frequency of the base station in each hour; calculating the actual transmitting power of a single carrier frequency of the base station when different telephone traffic is calculated according to the obtained average telephone traffic and an Ireland-B formula; and predicting the electromagnetic radiation intensity caused by the single carrier frequency of the base station through the actual transmitting power of the single carrier frequency of the base station. The method considers the influence of the change of telephone traffic on the electromagnetic radiation intensity around the base station, can accurately and simply predict and estimate the electromagnetic radiation intensity of the base station, has great reference value on base station construction, environmental influence evaluation and environmental protection, and has certain social benefit.
Description
Technical Field
The invention relates to a method for accurately predicting electromagnetic radiation of a GSM base station based on telephone traffic.
Background
As the number of communication base stations increases year by year, prediction of electromagnetic radiation intensity around the base stations becomes more and more important. At present, when the electromagnetic radiation distribution around a base station is researched or the electromagnetic radiation intensity is predicted, the prediction is mostly based on the maximum base station transmitting power, the prediction is often deviated from the actual measurement result greatly, because the GSM adopts the TDMA technology, the base station transmitting power is changed along with the traffic volume, when the base station communication traffic volume is large, the average transmitting power of the base station is increased, the electromagnetic radiation intensity around the base station is correspondingly increased, when the base station communication traffic volume is small, the average transmitting power of the base station is reduced, the electromagnetic radiation intensity around the base station is correspondingly reduced, and therefore, the traffic volume is very necessary to be considered when the base station electromagnetic radiation is predicted.
For the relation between the electromagnetic radiation of the base station and the traffic, the literature "influez and electromagnetic variations on exposure to wireless signals in the electromagnetic environments" (mahfuuz, GatiA, Lautru D, et al. influez and electromagnetic variations on exposure to wireless signals in the electromagnetic environments. [ J ]. Bioelectromagnetics,2012,33(4): 288-297.) analyzes the statistical properties of the electromagnetic radiation size, such as obeying gaussian distribution, but does not give the relation between the specific traffic and the electromagnetic radiation size. The document Long-term exposure to mobile communication Radiation of analysis of time-variance of electric field levels in GSM900downlink channels (Miclaus S, Bechet P, Gheorgement M.Long-term exposure to mobile channels J.radiation Protection analysis, 2013,154(2): 164-73) records a large amount of data by a measuring instrument, reflects the electromagnetic Radiation change mainly by the test data, and gives no specific prediction method for the electromagnetic Radiation. Patent document CN103874090A has been published, which discloses a method for predicting electromagnetic radiation of a GSM communication base station by using a power spectral density function, however, the patent requires to count the mean value of pulse stream density, the procedure is complicated, and the time is very time-consuming, and in addition, when obtaining the actual transmission power by integrating the power spectral density, researchers are required to grasp the signal bandwidth of the integral very accurately, otherwise, the accuracy of the prediction is affected to a certain extent.
Aiming at the defects in the prior art, the invention provides a method for accurately predicting the electromagnetic radiation of a GSM base station based on telephone traffic, which considers the average telephone traffic and an Ireland-B formula, and can accurately predict the electromagnetic radiation intensity of the base station only by taking the specific size of the telephone traffic and counting and averaging the telephone traffic by hours as a unit. Experiments show that the prediction method provided by the invention can accurately predict and evaluate the electromagnetic radiation intensity of the base station.
Disclosure of Invention
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a GSM base station electromagnetic radiation accurate prediction method based on telephone traffic comprises the following steps:
1) calculating the average telephone traffic of a single carrier frequency of the base station per hour according to the telephone traffic of the base station and the total carrier frequency;
2) obtaining the actual transmitting power of the single carrier frequency of the base station by combining an Ireland-B formula according to the average telephone traffic of the single carrier frequency of the base station obtained in the step 1 per hour;
3) and calculating the electromagnetic radiation intensity caused by the single carrier frequency of the base station through the actual transmitting power of the single carrier frequency of the base station obtained in the step 2.
In the above method for accurately predicting GSM base station electromagnetic radiation based on traffic, in step 2), when there are different traffic, the actual transmission power of a single carrier frequency of the base station:
wherein, PtThe unit of the actual transmitting power of a single carrier frequency is W and P when the base station is at different telephone traffic1The unit of the rated transmitting power of the base station is W, m represents the number of time slots in busy state in one carrier frequency, p (8, A, m) is an Ireland-B formula, and represents that a single carrier frequency has 8 time slots, and when the inflow telephone traffic is A, the probability that m time slots are in busy state is provided;
the Ireland-B formula is as follows:
where N denotes the total number of time slots, a denotes the traffic intensity (traffic volume) of the incoming traffic, and m denotes the number of time slots in the busy state.
In the above method for accurately predicting GSM base station electromagnetic radiation based on telephone traffic, in step 3), the electromagnetic radiation intensity caused by a single carrier frequency of the base station is derived by a fries transmission formula, which can be expressed as:
wherein S represents the electromagnetic radiation power density caused by single carrier frequency of the base station, and the unit is mu W/cm2G represents the gain of the transmitting antenna in dB, and d represents the mobile terminal and the base stationDistance between antennas in m, P1The unit of the rated transmission power of the base station is W, A represents the flow intensity (traffic volume) of the inflow service, and m represents the number of time slots in a busy hour state.
The invention has the beneficial effects that: the analysis method considers the influence of the change of telephone traffic on the electromagnetic radiation intensity around the base station, models the accurate prediction of the electromagnetic radiation intensity of the GSM base station by the real-time telephone traffic of the communication system, can predict and estimate the electromagnetic radiation intensity of the base station very accurately and simply, has great reference value on base station construction, environmental influence evaluation and environmental protection, and has certain social benefit.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
In the experiment, in an open and flat area, the surrounding obstacles are few, the height of the base station is 26 meters, the fixed-point integral-point measurement is carried out at a horizontal distance of 30 meters from the base station, and the measurement is continuously carried out for 6min every hour for one week. The instrumentation equipment for in-situ measurements of the base station is a portable spectrum analyzer KEYSIGHT N9918A and a periodic logarithmic antenna HyperLOG 60180. In the embodiment, the rated transmission power of the base station antenna is 20W, and the gain is 16 dB. The invention is further described below with reference to the figures and examples.
Fig. 1 shows a flow chart of the technical solution of the present invention, and the specific steps are:
1) calculating the average telephone traffic of a single carrier frequency of the base station per hour according to the telephone traffic of the base station and the total carrier frequency;
2) obtaining the actual transmitting power of the single carrier frequency of the base station by combining an Ireland-B formula according to the average telephone traffic of the single carrier frequency of the base station obtained in the step 1 per hour;
3) and calculating the electromagnetic radiation intensity caused by the single carrier frequency of the base station through the actual transmitting power of the single carrier frequency of the base station obtained in the step 2.
In the step 1, the average telephone traffic of a single carrier frequency of the base station per hour is calculated according to the telephone traffic of the base station and the total carrier frequency, and the method comprises the following steps:
the telephone traffic data of the base station for a period of time and the total carrier frequency of the base station are obtained by an operator, the telephone traffic data of the experiment is obtained by China Unicom, and the telephone traffic is weighted and averaged in hours to obtain the average telephone traffic of each hour of a single carrier frequency of the base station. In the embodiment, the base station has 8 carrier frequencies, the average traffic volume of the base station at 19:00 is 25.8128Erl, and then the average traffic volume of a single carrier frequency of the base station at 19:00 is 3.2266 Erl. Table 1 shows the average traffic per hour for the base station's individual carrier frequencies measured in the example.
TABLE 1 actual measurement of average telephone traffic per hour for single carrier frequency of base station
| Time of day | Telephone traffic (Erl) | Time of day | Telephone traffic (Erl) | Time of day | Telephone traffic (Erl) | Time of day | 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 actual transmitting power of the single carrier frequency of the base station is obtained according to the average telephone traffic per hour of the single carrier frequency of the base station obtained in the step 1 and by combining an Ireland-B formula, and the actual transmitting power of the single carrier frequency of the base station comprises the following contents:
Ptthe unit of the actual transmitting power of a single carrier frequency is W and P when the base station is at different telephone traffic1Denotes the rated transmission power of the base station in W, which is 20W in this embodiment, i.e., P1The value of (1) is 20W, and N represents the total time slot number; a represents the traffic intensity (traffic volume) of the incoming traffic, and m represents the number of slots in the busy hour state.
The Ireland-B formula is expressed as:
combining the telephone traffic of the base station with an Ireland-B formula to obtain the actual transmitting power of a carrier frequency of the base station under the conditions of different telephone traffic:
wherein, p (8, A, m) represents the probability that a single carrier frequency has 8 time slots, and when the inflow telephone traffic is A, m time slots are in a busy state;
taking 19:00 as an example, the traffic volume at this time is 3.2266Erl, and the actual transmission power of a single carrier frequency of the 19:00 time base station is calculated as:
table 2 shows the actual transmit power of a single carrier frequency of the base station calculated according to the average traffic volume per hour in table 1.
TABLE 2 actual transmission power of a base station's individual carrier frequency
| Time of day | Transmitting power (W) | Time of day | Transmitting power (W) | Time of day | Transmitting power (W) | Time of day | Transmitting 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 step 3, the electromagnetic radiation intensity caused by the single carrier frequency of the base station is calculated through the actual transmission power of the single carrier frequency of the base station obtained in step 2, and the calculation method comprises the following steps:
g represents the gain of the transmitting antenna, in this embodiment, the value of G is 16dB, d represents the distance between the mobile terminal and the base station antenna, the unit is m, in this embodiment, the height of the base station is 26 meters, the horizontal distance between the measurement position and the base station is 30 meters, the distance between the prediction point and the base station antenna can be calculated to be 40 meters by using the pythagorean theorem, that is, the value of d is 40 meters, and the average electromagnetic radiation power density caused by a single carrier frequency of the base station is calculated according to the models and parameters established in step 1, step 2 and step 3.
Taking the 19:00 hour as an example, as can be seen from table 2, when the actual transmission power of a single carrier frequency of the base station at 19:00 hour is 7.9727W, the average electromagnetic radiation power density S is:
in order to further embody the effectiveness of the method of the present invention, the average electromagnetic radiation power density caused by a single carrier frequency in 24 hours of the base station is calculated according to the actual transmission power in table 2, and compared with the actually measured power density, and the comparison result is shown in table 3:
TABLE 3 comparison of calculated and actual values of electromagnetic radiation power density at base station
From the data comparison, the difference between the calculated value of the electromagnetic radiation power density of the base station and the actual measured value is not large, which shows that the method can realize the accurate prediction of the electromagnetic radiation of the base station, and simultaneously verifies the effectiveness of the method used by the invention.
Claims (1)
1. A GSM base station electromagnetic radiation accurate prediction method based on telephone traffic is characterized by comprising the following steps:
1) calculating the average telephone traffic of a single carrier frequency of the base station per hour according to the telephone traffic of the base station and the total carrier frequency;
2) and according to the average telephone traffic per hour of the single carrier frequency of the base station obtained in the step 1 and by combining an Ireland-B formula, obtaining the actual transmitting power of the single carrier frequency of the base station as follows:
wherein, PtThe unit of the actual transmitting power of a single carrier frequency is W and P when the base station is at different telephone traffic1The unit of the rated transmitting power of the base station is W, m represents the number of time slots in busy state in one carrier frequency, p (8, A, m) is an Ireland-B formula, and represents that a single carrier frequency has 8 time slots, and when the inflow telephone traffic is A, the probability that m time slots are in busy state is provided;
the Ireland-B formula is as follows:
wherein, N represents the total number of time slots, and a represents the traffic intensity (traffic volume) of the incoming traffic;
3) calculating the electromagnetic radiation intensity caused by the single carrier frequency of the base station as follows according to the actual transmitting power of the single carrier frequency of the base station obtained in the step 2:
wherein S represents the electromagnetic radiation power density caused by single carrier frequency of the base station, and the unit is mu W/cm2G denotes the gain of the transmitting antenna in dB, d denotes the distance between the mobile terminal and the base station antenna in m.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710286874.1A CN107071814B (en) | 2017-04-27 | 2017-04-27 | GSM base station electromagnetic radiation accurate prediction method based on telephone traffic |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710286874.1A CN107071814B (en) | 2017-04-27 | 2017-04-27 | GSM base station electromagnetic radiation accurate prediction method based on telephone traffic |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107071814A CN107071814A (en) | 2017-08-18 |
| CN107071814B true CN107071814B (en) | 2020-05-19 |
Family
ID=59605039
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710286874.1A Active CN107071814B (en) | 2017-04-27 | 2017-04-27 | GSM base station electromagnetic radiation accurate prediction method based on telephone traffic |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107071814B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108289001B (en) * | 2018-01-25 | 2021-04-23 | 湘潭大学 | TD-LTE base station PDSCH channel electromagnetic radiation prediction method |
| CN108419264B (en) * | 2018-01-25 | 2021-04-23 | 湘潭大学 | TD-LTE base station average electromagnetic radiation prediction 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 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7190958B1 (en) * | 2003-08-12 | 2007-03-13 | Sprint Spectrum L.P. | Method and system for adjusting coverage areas of a wireless telecommunications network |
| CN101400118A (en) * | 2007-09-28 | 2009-04-01 | 株式会社Ntt都科摩 | Base station, receiving device, mobile terminal, and frequency sharing method |
| CN101964981A (en) * | 2009-07-22 | 2011-02-02 | 中国移动通信集团北京有限公司 | Method and device for pre-evaluating telephone traffic and configuring carrier frequency of new base station |
| CN103874090A (en) * | 2014-03-31 | 2014-06-18 | 湘潭大学 | GSM communication base station electromagnetic radiation prediction method |
| 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 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016032377A1 (en) * | 2014-08-28 | 2016-03-03 | Telefonaktiebolaget L M Ericsson (Publ) | Methods communicating radiation pattern information and related network nodes and base stations |
-
2017
- 2017-04-27 CN CN201710286874.1A patent/CN107071814B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7190958B1 (en) * | 2003-08-12 | 2007-03-13 | Sprint Spectrum L.P. | Method and system for adjusting coverage areas of a wireless telecommunications network |
| CN101400118A (en) * | 2007-09-28 | 2009-04-01 | 株式会社Ntt都科摩 | Base station, receiving device, mobile terminal, and frequency sharing method |
| CN101964981A (en) * | 2009-07-22 | 2011-02-02 | 中国移动通信集团北京有限公司 | Method and device for pre-evaluating telephone traffic and configuring carrier frequency of new base station |
| CN103874090A (en) * | 2014-03-31 | 2014-06-18 | 湘潭大学 | GSM communication base station electromagnetic radiation prediction method |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107071814A (en) | 2017-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107071814B (en) | GSM base station electromagnetic radiation accurate prediction method based on telephone traffic | |
| CN106879016B (en) | A kind of base station electromagnetic radiation prediction technique based on user distribution | |
| EP3890361A1 (en) | Cell longitude and latitude prediction method and device, server, base station, and storage medium | |
| CN108243447B (en) | External interference positioning method and device | |
| WO2016191845A1 (en) | Analyzing wireless signal propagation | |
| CN103108341A (en) | Method and device based on measurement report data and for constructing network uploading interference matrix | |
| CN102014426B (en) | Method for measuring interference ratio based on measurement report | |
| Razzaghpour et al. | Short-range UWB wireless channel measurement in industrial environments | |
| CN109936855A (en) | Method, apparatus, equipment and the medium being distributed using base station signal retrieving precipitation | |
| Nekrasov et al. | Evaluating LTE coverage and quality from an unmanned aircraft system | |
| Desimone et al. | Model of indoor signal propagation using log-normal shadowing | |
| CN109982368B (en) | Method, device, equipment and medium for checking cell azimuth | |
| He et al. | Accurate method to estimate EM radiation from a GSM base station | |
| CN110412621B (en) | Pulse radio frequency interference compatibility evaluation method of satellite navigation receiver | |
| Wang et al. | A novel indoor ranging method using weighted altofrequent RSSI measurements | |
| CN108574927A (en) | A kind of mobile terminal locating method and device | |
| CN108391282B (en) | Method for estimating high-intensity electromagnetic radiation incidence of base station | |
| CN104394546A (en) | Drive test data processing method for long term evolution (LTE) network post evaluation | |
| Atanasov et al. | Optimization of Path Loss Models Based on Signal Level Measurements in 4G LTE Network in Sofia. | |
| KR20110068609A (en) | System and method for measuring radio wave receiving environment | |
| CN111225408A (en) | SmallCell base station-based wireless environment monitoring method, device, equipment and storage medium | |
| Tanski et al. | Sub-THz Wireless Channel Field Measurements: A Study at 140 GHz | |
| Syed et al. | Wideband communication channel sounding for wireless industrial internet-of-things applications | |
| Wellens et al. | Evaluation of spectrum occupancy using approximate and multiscale entropy metrics | |
| Konstantinou et al. | Measurement and modelling of the propagation channel between low-height terminals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |