CN107181545A - TD SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing - Google Patents

TD SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing Download PDF

Info

Publication number
CN107181545A
CN107181545A CN201710448007.3A CN201710448007A CN107181545A CN 107181545 A CN107181545 A CN 107181545A CN 201710448007 A CN201710448007 A CN 201710448007A CN 107181545 A CN107181545 A CN 107181545A
Authority
CN
China
Prior art keywords
scdma
electromagnetic radiation
base station
channel sharing
signal
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.)
Granted
Application number
CN201710448007.3A
Other languages
Chinese (zh)
Other versions
CN107181545B (en
Inventor
杨万春
周凯
张雪
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xiangtan University
Original Assignee
Xiangtan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Xiangtan University filed Critical Xiangtan University
Priority to CN201710448007.3A priority Critical patent/CN107181545B/en
Publication of CN107181545A publication Critical patent/CN107181545A/en
Application granted granted Critical
Publication of CN107181545B publication Critical patent/CN107181545B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/318—Received signal strength
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses TD SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing, its step is as follows：According to service transferring mode of the TD SCDMA system channels under shared, the occupied probability distribution of transmission channel is calculated；TD SCDMA signal dutyfactors are calculated by probability distribution；Utilize the average electromagnetic radiation intensity in dutycycle prediction TD SCDMA base stations.The present invention analyzes the service transferring mode under TD SCDMA system channels are shared, calculate signal actual duty cycle, utilize the average electromagnetic radiation intensity in TD SCDMA base stations under signal actual duty cycle prediction Channel Sharing, this method can accurately, it is easy TD SCDMA base station electromagnetic radiation is predicted and assessed, with certain social benefit.

Description

TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing
Technical field
The present invention relates to TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing.
Background technology
Currently for the prediction of TD-SCDMA base station electromagnetic radiation intensity, electromagnetic wave is all based on greatly in free-space propagation mould Type is predicted.Such as document《TD-SCDMA smart antennas Methods of Calculating The Electromagnetic Radiation is analyzed》(horse Huaxing .TD-SCDMA intelligence Antenna electromagnetic radiation ANALYSIS OF CALCULATING [J] communication engineerings technology and standardization, 2009,1:008.) in electromagnetic wave in free sky Between on the basis of propagation model, the instantaneous value conversion by electromagnetic radiation predicts average electromagnetic radiation intensity for average value, but each The conversion ratio of period should be related to signal actual transmission situation.The patent document of Application No. 2017102881591, is announced The lower TD-SCDMA base station electromagnetic radiation Forecasting Methodology of channel segmentation, but this method cannot be used for electromagnetism spoke in base station under Channel Sharing Penetrate prediction.
For the deficiencies in the prior art, this patent proposes that TD-SCDMA base station electromagnetic radiation is predicted under Channel Sharing Service transferring mode under method, this method analysis Channel Sharing, derives the calculation formula of the occupied probability distribution of channel resource, So as to calculate TD-SCDMA signal dutyfactors.It is shown experimentally that, the Forecasting Methodology that this patent is proposed can accurately be common to channel Lower TD-SCDMA base station electromagnetic radiation intensity is enjoyed to be predicted and assess.
The content of the invention
To achieve the above object, the technical solution adopted by the present invention is as follows：TD-SCDMA base station electromagnetism spoke under Channel Sharing Forecasting Methodology is penetrated, under Channel Sharing, TD-SCDMA system, which distributes 3 business time-slots, is used for downlink, each business time-slot It is divided into 8 transmission channels, transmission channel sum is 24, transmission channel, data service caching are shared in speech business and data service Queue length is 100, is comprised the following steps：
Step 1) according to the service transferring mode under TD-SCDMA system Channel Sharing, calculate transmission channel occupied general Rate is distributed；
Step 2) probability distribution that is obtained by step 1, calculate TD-SCDMA signal dutyfactors；
Step 3) signal dutyfactor that is obtained using step 2, the average electromagnetic radiation intensity of prediction TD-SCDMA base station.
In the step 1, according to the service transferring mode under TD-SCDMA system Channel Sharing, transmission channel is occupied Probability distribution is：
Wherein P (k) represents the occupied probability of k transmission channel, and ρ represents system service intensity, and μ represents system service Rate, λdRepresent data service arrival rate, P0The unappropriated probability of transmission channel is represented, its calculation expression is：
In the step 2, TD-SCDMA signal dutyfactors are calculated, are comprised the following steps：
1) the average value N that descending time slot launches number is calculatedavg：
Wherein P (k) represents that business takes the probability of k transmission channel；
2) TD-SCDMA signal dutyfactors are：
Wherein T represents TD-SCDMA signal dutyfactors.
In the step 3, the average electromagnetic radiation intensity of TD-SCDMA base station is：
Wherein EavgSignal averaging electromagnetic radiation intensity is represented, unit is V/m, EmaxRepresent what spectrum analyzer measurement was obtained TD-SCDMA signal maximum electromagnetic radiation intensity, unit is V/m, and T represents signal dutyfactor.
The beneficial effects of the invention are as follows：By analyzing the service transferring mode under Channel Sharing, derive that downlink transfer is believed The calculation formula of the occupied probability distribution in road.On the basis of the formula, the Forecasting Methodology that this patent is proposed can conveniently, soon Speed is predicted and assessed to TD-SCDMA electromagnetic radiation intensity under Channel Sharing, and the ambient influnence of TD-SCDMA base station is commented Valency, environmental protection have certain social benefit well.
Brief description of the drawings
Fig. 1 is step flow chart of the invention；
Fig. 2 is the business transmission schematic diagram under the TD-SCDMA system Channel Sharing of the present invention.
Embodiment
The present invention is described in further detail with reference to the accompanying drawings and detailed description.The present embodiment is with the present invention It is lower premised on content to carry out, detailed implementation steps are given, but protection scope of the present invention is not limited to following embodiments.
Objective for implementation of the present invention is college teaching building roof TD-SCDMA base station, and base station carries industry close to snack street, base station Business amount is big, coverage is small, using the Channel Sharing method of salary distribution.Under Channel Sharing, under system 3 business time-slots of distribution are used for Line link, each business time-slot is divided into 8 transmission channels, and transmission channel sum is 24, speech business and the shared biography of data service Defeated channel, data service length of buffer queue is 100.The use of measuring apparatus is portable frequency spectrum analyzer KEYSIGHT N9918A and cycle logarithm antenna HyperLOG 60180, on the greatest irradiation direction of base station, chooses measurement at 5 meters of base station Point, 22 point base stations configuration parameters and portfolio are as shown in table 1：
The point base stations configuration parameter of table 1 22 and portfolio
Parameter name Parameter name
Centre carrier frequency 2010.8MHz Spreading factor 16
Up, descending time slot ratio 3∶3 Packet mean size 3.84KB
Speech business average duration 120s Packet averagely sends the time 0.06s
Voice telephone traffic amount 4.5erl/h Data service flow 76.1KB/s
Fig. 1 is the FB(flow block) of technical solution of the present invention, is comprised the following steps：
Step 1) according to the service transferring mode under TD-SCDMA system Channel Sharing, calculate transmission channel occupied general Rate is distributed；
Step 2) probability distribution that is obtained by step 1, calculate TD-SCDMA signal dutyfactors；
Step 3) signal dutyfactor that is obtained using step 2, the average electromagnetic radiation intensity of prediction TD-SCDMA base station.
In the step 1, according to the service transferring mode under TD-SCDMA system Channel Sharing, transmission channel is occupied Probability distribution is：
Wherein P (k) represents the occupied probability of k transmission channel, and ρ represents system service intensity, and μ represents system service Rate, λdRepresent data service arrival rate, P0The unappropriated probability of transmission channel is represented, its calculation expression is：
According to the BTS service amount information of table 1, above-mentioned parameter calculating process is：Voice traffic services intensity is equal to speech business Telephone traffic size, i.e. ρv=4.5, speech business arrival rate is equal to voice traffic services intensity/speech business average duration, That is λv≈ 0.038calls/s, data service arrival rate is equal to (data service flow/packet mean size) × 4, i.e. λd≈ 79.281packets/s, data service service intensity reaches that rate × packet averagely sends time, i.e. ρ equal to data serviced≈ 4.756.Therefore, system service intensity is equal to voice traffic services intensity and data service service intensity sum, i.e. ρ=4.5+ 4.756=9.256, system arrival rate reaches that rate reaches rate sum, i.e. λ=0.038+ with data service equal to speech business 79.281=79.319, system service rate is equal to system arrival rate/system service intensity, i.e., Calculating obtains the occupied probability distribution of channel：
In the step 2, TD-SCDMA signal dutyfactors, including herein below are calculated：
1) the average value N that descending time slot launches number is calculatedavg：
Wherein P (k) represents that business takes the probability of k transmission channel；
2) TD-SCDMA signal dutyfactors are：
Wherein T represents TD-SCDMA signal dutyfactors.
In the step 3, the average electromagnetic radiation intensity of prediction TD-SCDMA base station, including herein below：
Spectrum analyzer measures acquisition TD-SCDMA signal maximum electromagnetic radiation intensity under " max-hold " pattern 0.6706V/m, the dutycycle T obtained using step 2, calculate TD-SCDMA signal averaging electromagnetic radiation intensities EavgFor：
In order to further embody the validity of the inventive method, according to different time sections BTS service amount in table 2, this is used Patent proposes that method calculates the average electromagnetic radiation intensity of TD-SCDMA base station, and the average electromagnetic radiation intensity measured with reality It is compared, its comparing result is as shown in table 2：
The average electromagnetic radiation in table 2TD-SCDMA base stations, which predicts the outcome, compares
From experimental result as can be seen that TD-SCDMA base station electromagnetic radiation predicted value and actual measured value phase under Channel Sharing It is poor little, illustrate that the accurate prediction of TD-SCDMA base station electromagnetic radiation can be realized using the method, while demonstrating the present invention The validity of institute's application method.

Claims (4)

1. TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing, under Channel Sharing, TD-SCDMA system distributes 3 Business time-slot is used for downlink, and each business time-slot is divided into 8 transmission channels, and transmission channel sum is 24, speech business and Transmission channel is shared in data service, and data service length of buffer queue is 100, it is characterised in that comprised the following steps：
Step 1) according to the service transferring mode under TD-SCDMA system Channel Sharing, calculate transmission channel occupied probability point Cloth；
Step 2) probability distribution that is obtained by step 1, calculate TD-SCDMA signal dutyfactors；
Step 3) signal dutyfactor that is obtained using step 2, the average electromagnetic radiation intensity of prediction TD-SCDMA base station.
2. TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing according to claim 1, it is characterised in that institute State in step 1, according to the service transferring mode under TD-SCDMA system Channel Sharing, the occupied probability distribution of transmission channel For：
Wherein P (k) represents the occupied probability of k transmission channel, and ρ represents system service intensity, and μ represents system service rate, λdTable Show data service arrival rate, P0The unappropriated probability of transmission channel is represented, its calculation expression is：
。
3. TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing according to claim 1, it is characterised in that institute State in step 2, calculate TD-SCDMA signal dutyfactors, including herein below：
1) the average value N that descending time slot launches number is calculatedavg：
Wherein P (k) represents that business takes the probability of k transmission channel；
2) TD-SCDMA signal dutyfactors are：
Wherein T represents TD-SCDMA signal dutyfactors.
4. TD-SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing according to claim 1, it is characterised in that institute State in step 3, the average electromagnetic radiation intensity of TD-SCDMA base station is：
Wherein EmaxTD-SCDMA signal averaging electromagnetic radiation intensities are represented, unit is V/m, EmaxRepresent that spectrum analyzer measurement is obtained The signal maximum electromagnetic radiation intensity obtained, unit is V/m, and T represents signal dutyfactor.
CN201710448007.3A 2017-06-14 2017-06-14 Electromagnetic radiation prediction method for TD-SCDMA base station under channel sharing Active CN107181545B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710448007.3A CN107181545B (en) 2017-06-14 2017-06-14 Electromagnetic radiation prediction method for TD-SCDMA base station under channel sharing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710448007.3A CN107181545B (en) 2017-06-14 2017-06-14 Electromagnetic radiation prediction method for TD-SCDMA base station under channel sharing

Publications (2)

Publication Number Publication Date
CN107181545A true CN107181545A (en) 2017-09-19
CN107181545B CN107181545B (en) 2020-11-03

Family

ID=59835561

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710448007.3A Active CN107181545B (en) 2017-06-14 2017-06-14 Electromagnetic radiation prediction method for TD-SCDMA base station under channel sharing

Country Status (1)

Country Link
CN (1) CN107181545B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108111237A (en) * 2018-01-25 2018-06-01 湘潭大学 A kind of TD-LTE base stations PDCCH channel electromagnetics radiate Forecasting Methodology
CN108183755A (en) * 2018-01-05 2018-06-19 湘潭大学 A kind of FDD-LTE base station centers frequencies of electromagnetic radiation Forecasting Methodology
CN108183754A (en) * 2018-01-05 2018-06-19 湘潭大学 A kind of GSM base stations electromagnetic radiation Forecasting Methodology
CN108260156A (en) * 2018-01-25 2018-07-06 湘潭大学 A kind of WLAN based on business is averaged electromagnetic radiation Forecasting Methodology
CN108646100A (en) * 2018-05-14 2018-10-12 湘潭大学 A kind of TD-SCDMA base station electromagnetic radiation variation mutation detection methods

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000509573A (en) * 1996-04-23 2000-07-25 テレフオンアクチーボラゲツト エル エム エリクソン（パブル） Multiple code compression mode DS-CDMA system and method
CN103076505A (en) * 2012-12-27 2013-05-01 广东省辐射防护协会 Three-dimensional space prediction method for electromagnetic radiation of TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) mobile communication base station environment
CN104749447A (en) * 2013-12-31 2015-07-01 中国移动通信集团广东有限公司 Method and device for estimating environmental electromagnetic radiation of base station

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000509573A (en) * 1996-04-23 2000-07-25 テレフオンアクチーボラゲツト エル エム エリクソン（パブル） Multiple code compression mode DS-CDMA system and method
CN103076505A (en) * 2012-12-27 2013-05-01 广东省辐射防护协会 Three-dimensional space prediction method for electromagnetic radiation of TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) mobile communication base station environment
CN104749447A (en) * 2013-12-31 2015-07-01 中国移动通信集团广东有限公司 Method and device for estimating environmental electromagnetic radiation of base station

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
余慧婷等: "TD-SCDMA 移动通信基站电磁辐射环境影响预测模式", 《辐射研究与辐射工艺学报》 *
李斗等: "基于混沌预测的宽带DVB-RCS卫星接入信道动态分配方案研究", 《电子与信息学报》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108183755A (en) * 2018-01-05 2018-06-19 湘潭大学 A kind of FDD-LTE base station centers frequencies of electromagnetic radiation Forecasting Methodology
CN108183754A (en) * 2018-01-05 2018-06-19 湘潭大学 A kind of GSM base stations electromagnetic radiation Forecasting Methodology
CN108183755B (en) * 2018-01-05 2020-12-25 湘潭大学 FDD-LTE base station center frequency electromagnetic radiation prediction method
CN108183754B (en) * 2018-01-05 2021-06-22 湘潭大学 Electromagnetic radiation prediction method for GSM base station
CN108111237A (en) * 2018-01-25 2018-06-01 湘潭大学 A kind of TD-LTE base stations PDCCH channel electromagnetics radiate Forecasting Methodology
CN108260156A (en) * 2018-01-25 2018-07-06 湘潭大学 A kind of WLAN based on business is averaged electromagnetic radiation Forecasting Methodology
CN108111237B (en) * 2018-01-25 2020-12-25 湘潭大学 Method for predicting electromagnetic radiation of PDCCH (physical downlink control channel) of TD-LTE (time division-Long term evolution) base station
CN108260156B (en) * 2018-01-25 2021-04-23 湘潭大学 Service-based WLAN average electromagnetic radiation prediction method
CN108646100A (en) * 2018-05-14 2018-10-12 湘潭大学 A kind of TD-SCDMA base station electromagnetic radiation variation mutation detection methods
CN108646100B (en) * 2018-05-14 2020-12-04 湘潭大学 Method for detecting electromagnetic radiation change mutation of TD-SCDMA base station

Also Published As

Publication number Publication date
CN107181545B (en) 2020-11-03

Similar Documents

Publication Publication Date Title
CN107181545A (en) TD SCDMA base station electromagnetic radiation Forecasting Methodology under Channel Sharing
CN107124238A (en) A kind of new TD SCDMA communication base station electromagnetic radiation Forecasting Methodologies
Chetlur et al. Coverage and rate analysis of downlink cellular vehicle-to-everything (C-V2X) communication
Zhang et al. Optimal power allocation with delay constraint for signal transmission from a moving train to base stations in high-speed railway scenarios
CN106879016A (en) A kind of base station electromagnetic radiation Forecasting Methodology based on user distribution
CN103442362B (en) Communication device and method for interference coordination and energy conservation with same adopted
CN109743087B (en) Distributed antenna transmission mode selection and power optimization method in high-speed rail scene
CN106131939B (en) A kind of power control optimal method of several energy integrated communication networks
CN104038995A (en) Distributive dynamic clustering energy saving method of heterogeneous network
CN103501498A (en) Baseband processing resource allocation method and device thereof
Falkenberg et al. Rushing full speed with LTE-Advanced is economical-a power consumption analysis
CN102833038A (en) Downlink multi-business collaboration pre-coding method of multi-cell multicast MIMO (multiple input multiple output) mobile communication system
CN109474946A (en) A kind of rural areas base station electromagnetic radiation prediction technique
CN110536255B (en) Access point transmitting power optimization method based on indoor propagation loss model
CN105681008B (en) A kind of pilot design method and system based on interference synergic
He et al. Mobility-driven user-centric AP clustering in mobile edge computing-based ultra-dense networks
Xu et al. Outage performance of mobile V2V cooperative networks
CN106507361A (en) A kind of safety of physical layer communication optimization system and method based on cloud wireless access network
Domb et al. Rain Attenuation Prediction for 2.4-72GHz using LTSM, an artificial recurrent neural network technology
Yan et al. KF-LSTM based beam tracking for UAV-assisted mmWave HSR wireless networks
Song et al. Bounded path-loss model for UAV-to-UAV communications
CN108513307B (en) Terminal testing method under simulated high-speed rail scene
Lv et al. D2D network coverage analysis based on cluster user equipment classification and spectrum sharing allocation
Zhang et al. Experimental study on low-altitude UAV-to-ground propagation characteristics in campus environment
CN103648079B (en) Direct communication virtual scheduling method based on C-RAN framework

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