CN103731867A - System and method for achieving load peering of test network and real communication network - Google Patents
System and method for achieving load peering of test network and real communication network Download PDFInfo
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Abstract
The invention provides a system and method for achieving load peering of a test network and a real communication network. The system comprises an outer field test device and a peering load generating device. The outer field test device tests load in a cell to obtain load distribution in the cell. The peering load generating device carries out load loading in the test network according to load distribution in the cell, so that peering of load in the test network and load in the communication network is achieved. According to the system and method, respective peering of voice service and all service is achieved, when peering of total load is achieved, only generating of data service is adjusted, the fact that physical resources are the same is guaranteed, the fact that user space distribution is similar is considered, the probability density function of load is used as a target, and from the point of statistical significance, stability and reliability are well achieved.
Description
Technical field
The application relates to the system and method for the load equity that realizes test network and actual communication network, and the system of the test communications network performance of protection said system.
Background technology
In prior art, for the performance of testing communication system under different loads condition, what have analyzes the performance of network by measured data, and what have generates fictitious load by Computer Simulation and analyze network, and then the performance of testing communication system.Wherein, the measurement of load and post analysis statistics are mainly the authentic testings to real network environment, utilize measurement, the statistical function of system base-station equipment, collect the measured value of cell load size in certain hour, add up its every characterisitic parameter, re-use fixing load generation module and load according to the statistics of load.Second method is with calculating the prediction of the Realization of Simulation load module, the generation of load to be equivalent to user according to certain rule, arrive, the minimizing of load is equivalent to user's leaving away according to certain rule, think the size of real-time load depend on online user number number, thereby adjust the user that load also just changes mechanical increase into or reduces some.
Adopt scheme of the prior art to have following shortcoming: these technical schemes generally or only depend on measurement and the post analysis statistics of load, or only depend on the forecast model of computer.
Summary of the invention
According to the application's first aspect, a kind of system that realizes the load equity of test network and actual communication network has been proposed, wherein, described communication network comprises a plurality of base stations and the community being covered by described base station, described system comprises: field testing device, test load in described community to obtain the load Distribution in described community; And to even load generating apparatus, according to the load Distribution in described community, in described test network, carry out load loading, so that the load in the load in described test network and described communication network is reciprocity.
According to the application's second aspect, a kind of method that realizes the load equity of test network and actual communication network has been proposed, wherein, described communication network comprises a plurality of base stations and the community being covered by described base station, and described method comprises: steps A: test load in described community to obtain the load Distribution in described community; And step B: according to the load Distribution in described community, carry out load loading in described test network, so that the load in the load in described test network and described communication network is reciprocity.
According to the application's the third aspect, a kind of system of test communications network performance has been proposed, comprise: above-mentioned system and the testing apparatus of realizing the load equity of test network and actual communication network, described testing apparatus is used for testing the performance of described test network, thereby knows the performance of described communication network.
According to the application, realized the difference equity of voice service and whole business, and when the equity of total load realizes, only need adjust the generation of data service; Guaranteeing that physical resource is identical, considered that user's spatial distribution is similar, and to take the probability density function of load be target, say from the statistical significance, have more stability and reliability.
Accompanying drawing explanation
Fig. 1 is according to the block diagram of the system of the load equity that realizes test network and actual communication network of the application's first aspect embodiment;
Fig. 2 is the block diagram to even load generating apparatus specific embodiment in Fig. 1;
Fig. 3 shows according to the configuration of the voice service load equity device of a specific embodiment;
Fig. 4 shows according to the configuration of whole business load equity devices of a specific embodiment;
Fig. 5 is according to the flow chart of the method for the load equity that realizes test network and actual communication network of the application's second aspect embodiment; And
Fig. 6 shows according to the schematic block diagram of the system of the test communications network performance of the application's the third aspect.
Embodiment
With reference to the accompanying drawings, the application is elaborated.
It will be appreciated by persons skilled in the art that communication network can comprise a plurality of base stations and the community being covered by described base station conventionally.In this application, " load " refers to the live load of communication network, and " load equity " refers to that live load in the system of test communications network performance equates with the live load in real network environment.
Fig. 1 shows according to the block diagram of the system of the load equity that realizes test network and actual communication network of the application's first aspect embodiment.As shown in Figure 1, the system 10 that realizes the load equity of test network and actual communication network comprises field testing device 100 and to even load generating apparatus 200.
Load in field testing device 100 test cell is to obtain the load Distribution in described community.Even load generating apparatus 200, according to the load Distribution in described community, is carried out to load loading in test network, so that the load in the load in test network and actual communication network is reciprocity.
In order to realize load and the equity of the load in actual communication network in test network, first to choose characterisitic parameter and the index that can rationally describe cell load, then measure targetedly to obtain the load Distribution in actual communication network.Described load Distribution can be for example the probability density function of load.User distributions different in actual communication network can produce different load states, so need to all can carry out load equity to user distributions different in real community.
Because the channel conditions of Cell Center User and Cell Edge User is different, and the load that user's voice service and data service produce is also different.Therefore can divide real cell, and analyze the distribution situation of every section of community user number, thereby analyze the different user corresponding loading condition that distributes.According to a specific embodiment, field testing device 100 can further be configured to the distance of base station, microzonation is divided near section, stage casing and section far away according to community, can divide in the certain ratio of radius of society for three sections, after dividing, in community, three fragment position are labeled as respectively:
1) nearly section: [d
oα
1r],
2) stage casing: [α
1r α
2r],
3) section far away: [α
2rR],
Wherein, d
ofor base station guard space around, 0< α
1<1,0< α
2<1, and α
1< α
2.
Fig. 2 shows the block diagram to even load generating apparatus 200 specific embodiment in Fig. 1.As shown in Figure 2, to even load generating apparatus 200, can comprise test control center 201 and load peer processes center 202.
The division of test control center 201 based on field testing device 100Dui community, test data from field testing device 100 is divided into and corresponds respectively near section of described community, the test data in He Yuanduan region, stage casing, and controllably carry out the load equity under different user distribution situation.For example, the ratio that can suppose number of users in the nearly section in community, He Yuanduan region, stage casing is made as 2:5:3, be test control center 201 test data that can obtain from field testing device 100, to pick out 20% data as near section of user's test data, 50% data are as stage casing user's test data, and 20% data are as far away section of user's test data.If user is for being uniformly distributed in community, the ratio of number of users is
By test control center 201, decide current user distribution and realize different user and divide the load planting equity.
The test data of load peer processes center 202 based on after dividing, generates respectively and described near section of community, the fictitious load of the load equity in He Yuanduan region, stage casing.Load peer processes center 202 can comprise voice service load equity device and whole business load equity device.
Fig. 3 shows according to the configuration of the voice service load equity device of a specific embodiment.As shown in Figure 3, voice service load equity device 300 comprises the reciprocity matching feedback control module 302 of voice service load control module 301, first, voice service load generation module 303, voice service statistical characteristic analysis module 304, reciprocity speech load output module 305.
In the situation that supposition Signal to Interference plus Noise Ratio is known, voice service load control module 301, according to the first degree of fitting coefficient of the first reciprocity matching feedback control module 302 feedbacks, is adjusted arrival rate λ and service rate μ with the step of being scheduled to.Voice service load generation module 303 generates simulated voice business load according to arrival rate λ and service rate μ.The simulated voice business load of 304 pairs of generations of voice service statistical characteristic analysis module and the test data after described division are carried out statistical analysis, draw the PDF(probability density function of simulated voice business load) curve, calculate average and the variance of this PDF curve, and the voice service load statistics characteristic of this PDF Curves reflection is outputed to the first reciprocity matching feedback control module 302.Voice service load and described simulated voice business load that the first 302 pairs of reciprocity matching feedback control module record carry out fianalysis tting degree, to obtain described the first degree of fitting coefficient, and when described the first degree of fitting coefficient surpasses default thresholding, control described reciprocity speech load output module output and community described near section, the simulated voice load of the speech load equity in He Yuanduan region, stage casing, described the first degree of fitting coefficient is fed back to voice service load control module 301 simultaneously, instruct voice service load control module 301 to adjust described arrival rate λ and service rate μ to generate the simulated voice business load with the voice service load equity recording, can be so that can converge to preferably several wheel after feedback circulates of experience the voice service load recording.
The schematic illustration of the control of 301 couples of arrival rate λ of voice service load control module and service rate μ below.
In the situation that determining relevant parameter, the load that community voice service produces is only determined by arrival rate λ and service rate μ, and the effect that increases arrival rate λ and minimizing service rate μ is of equal value, that is to say that the load that community voice service produces is only determined by the ratio of arrival rate λ and service rate μ.Voice service load control module 301 in voice service load equity device 300 can be controlled long-range initiation session, and each session has regular hour constraint, that is to say that voice service load control module 301 can produce certain simulated voice load, the size of load is subject to the control of arrival rate λ and service rate μ, how to obtain final speech load, by the first reciprocity matching feedback control module 302, export judgement.Voice service statistical characteristic analysis module 304 can obtain load probability density function in a period of time and average, the variance of probability density function, and this probability density distribution curve is determined by arrival rate λ and service rate μ.Adjust arrival rate λ and service rate μ, thereby can realize the equity of voice service on probability density distribution.
In order to analyze to such an extent that more correspond to reality, disturbing, the impact of cell load is taken into account.Suppose at a descending multi-cell communication systems and comprise M base station and K user.Resource is divided simultaneously on time domain and frequency domain.On frequency domain, whole communication system bandwidth is divided into m sub-channels, and each channel occupies corresponding bandwidth.Community can be equivalent to a M/M/m queuing system like this, the Poisson distribution that the production process obedience parameter of considering user is λ, service time interval is obeyed the negative exponent that iid parameter is μ and is distributed, there is at most m user can accept service simultaneously, in system, tend to balance stable in the situation that, the average user number that for example can obtain, in Ci Duan region, community (nearly section region) is:
wherein
it is blocking probability.Generally think that the shared proportion of real time business number of users is γ=0.5, i.e. real time business number of users N
1=0.5N, the in the situation that of given blocking probability, average user number and power system capacity m in every section of community, arrival rate of customers λ, service rate μ is all relevant.If the transmitting power of base station j is P, the Signal to Interference plus Noise Ratio (SINR) that user k receives at time slot t is so
wherein, Z represents white Gaussian noise, G
j,k(t) represent the channel gain between base station j and user k.Suppose that SINR remains unchanged in time slot t, the speed of user k can be expressed as with shannon formula: r
j,k(t)=B
j, mlog
2(1+SINR
j,k(t)), B
j,krepresent the bandwidth of distributing to the user k that belongs to base station j.Consider the difference of community user on distance and position, can suppose: P
0community section far away user's transmitted power, α P
0stage casing, community user's transmitted power, β P
0community nearly section user's transmitted power, 0< α <1 wherein, 0 < β <1, and α > β.
So, community section far away user k
1the Signal to Interference plus Noise Ratio receiving at time slot t is:
Stage casing, community user k
2the Signal to Interference plus Noise Ratio receiving at time slot t is:
Community nearly section user k
3the Signal to Interference plus Noise Ratio receiving at time slot t is:
From the statistical significance, for LTE system, by the Mean Speed of voice service, be
so obtaining respectively the quantity of community section far away, stage casing and the average RB piece that closely user of section takies at time slot t is respectively:
Section far away:
Stage casing:
Nearly section:
Now, can obtain the load that in community, the voice service in different sections produces at time slot t is respectively:
Section load: η far away
t1=N
1m
1/ N,
Stage casing load: η
t2=N
2m
2/ N,
Nearly section load: η
t3=N
3m
3/ N,
W wherein
rBbe a bandwidth that RB piece is shared, N is the whole RB piece of system, m
1, m
2, m
3be respectively the voice service number of users of community section far away, stage casing and nearly section.In the situation that user's Signal to Interference plus Noise Ratio SINR is certain, can depict respectively η
t1, η
t2, η
t3the curve changing with t, further depicts η
t1, η
t2, η
t3probability density function.
For cdma system, load is the ratio of the shared code channel number of user and total code channel, the analysis mode of its load and similar above, thereby repeat no more.
In community, the probability density function of the voice service of nearly section, stage casing and section far away is all realized after equity, in order to make the probability density function of total load also realize equity, need to go to adjust the load of data service again.According to the characteristic of data service, what data service adopted is a kind of assurance primary bandwidth demand, guarantees the mechanism of maximum bandwidth demand with remaining bandwidth, and the equity of total load just only need to be adjusted the generation of data service.
In the equity of total load business realizes, the characteristic of analyzing data service contributes to us better to realize final load equity.The difference of data service and voice service is that data service allows certain time delay in the process of transmission.Different types of data service model is different, and model parameter number and distribution are also different, and in the load equity of Dan community, the behavioural characteristic of the statistics of these data services is all described by throughput, i.e. the data bit value of transmission in the unit interval.According to business model, set up emulation and can obtain the time dependent curve of throughput, and then can depict probability density function and the parameter such as average and variance of data service.Owing to portraying different data services (HTTP business, ftp business etc.) parameter of model is different, for example the key parameter of ftp business is file size (obeying truncation logarithm normal distribution), reading time (obeys index distribution), session arrival interval (obedience Poisson distribution), number of files (obeying how much distributes); The key parameter of HTTP business is session arrival interval (obedience Poisson distribution), the grouping number in a packet call (obeying how much distributes), the page number in a session (obeying how much distributes), reading time (obeys index distribution) etc.Obviously, these parameters have directly determined the load of corresponding business.Due to data service employing is a kind of remaining bandwidth using mechanism.Thereby after completing the equity of voice service load, in order to realize the equity of total load, only need to adjust the generation of data service.Due to different data services portray model difference, the key parameter of various models is also different, and obeys different distributions, has: session reaches interval file size, the number of dividing into groups such as affect the major parameter of these loads of data traffic amounts.Data service generation module reaches interval by adjusting session, file size, and the average of grouping number and the load capacity of variance control different pieces of information business and the data volume of all data services realize the equity of total load.
Fig. 4 shows according to the configuration of whole business load equity devices of a specific embodiment.As shown in Figure 4, all business load equity device 400 is except comprising for realizing the voice service load control module 301 of voice service load equity, the first reciprocity matching feedback control module 302, voice service load generation module 303, voice service statistical characteristic analysis module 304, outside equity speech load output module 305, also comprise loads of data traffic control module 401, the second reciprocity matching feedback control module 402, integrated service module 403, total load equity is analyzed and output module 404, whole business statistics specificity analysis modules 405, loads of data traffic generation module 406.
Because voice service load control module 301, first reciprocity matching feedback control module 302 for realizing voice service load equity etc. has the configuration and function identical with the respective modules shown in Fig. 3, thereby omit it is described in detail at this, and only describe and the function that configures different modules shown in Fig. 3.
Total load equity is analyzed and output module 404 is output in 1 o'clock and described near section of community, the whole business loads of simulation of whole business load equities in He Yuanduan region, stage casing in output judgement, and in output, adjudicating is the whole business loads of described simulation to be fed back to described whole business statistics specificity analysis module at 0 o'clock.All test data and the whole business loads of described simulation after 405 pairs of described divisions of business statistics specificity analysis module carry out statistical analysis, draw the PDF curve of the whole business loads of described simulation, calculate average and the variance of this PDF curve, and whole business load statistical properties of this PDF Curves reflection are outputed to the second reciprocity matching feedback control module 402.Whole business loads and the whole business loads of described simulation that the second 402 pairs of reciprocity matching feedback control module record carry out fianalysis tting degree, to obtain the second degree of fitting coefficient, if described the second degree of fitting coefficient surpasses default thresholding, output judgement is 1, with indication total load equity, analyze and output module 404 outputs and community described near section, the whole business loads of simulation of whole business load equities in He Yuanduan region, stage casing, otherwise described the second degree of fitting coefficient is fed back to loads of data traffic control module 401.Loads of data traffic control module 401 is adjusted the parameter of data service according to setting and modifying criterion, and amended parameter is sent to loads of data traffic generation module 406.Loads of data traffic generation module 406 generates analogue data business load according to described amended parameter.Integrated service module 403 is synthesized described analogue data business load and described simulated voice business load, thereby obtains the whole business loads of described simulation.
Fig. 5 shows according to the flow chart of the method for the load equity that realizes test network and actual communication network of the application's second aspect embodiment.In the method, described communication network comprises a plurality of base stations and the community being covered by described base station.Described method comprises: step 501: test load in described community to obtain the load Distribution in described community; And step 502: according to the load Distribution in described community, carry out load loading in described test network, so that the load in the load in described test network and described communication network is reciprocity.
According to a specific embodiment, step 501 can comprise: microzonation is divided near section, He Yuanduan region, stage casing, test respectively voice service load and loads of data traffic in described near section, He Yuanduan region, stage casing, and be combined in voice service in the community of base station end statistics and the data volume of data service, describe the distribution of voice service in community and the load that all business produce, thereby the probability density function that obtains load, wherein said whole business comprise voice service and data service.
According to another specific embodiment, step 502 can comprise: the division based on to community, is divided into the test data obtaining in step 501 to correspond respectively near section of described community, the test data in He Yuanduan region, stage casing; And the test data based on after dividing, generate respectively and described near section of community, the fictitious load of the load equity in He Yuanduan region, stage casing.
Fig. 6 shows according to the schematic block diagram of the system of the test communications network performance of the application's the third aspect.As shown in Figure 6, the system 60 of test communications network performance comprises above-mentioned system 601 and the testing apparatus 602 of realizing the load equity of test network and actual communication network.Testing apparatus 602 is for testing the performance of described test network, thereby knows the performance of described communication network.Testing apparatus 602 can be any known device for test communications network performance in this area, thereby omits its detailed description at this.
In this application, consideration Liao Jiang community is carried out far away section, the division of stage casing and nearly section, and different to the number of users of every section of setting, thereby can obtain different user and divide the load planting equity, and the equity of load adopts the difference equity of voice service and whole business, the probability density function of load of take is target, and guarantee code channel simultaneously, the material resourcess such as RB number equate, by contrasting the load characteristic of load generating apparatus and treating the load characteristic of reciprocity community, carry out load fianalysis tting degree, and analysis result is fed back to voice service load control module and whole business load control module, to adjust voice service load and all generations of business load.First realize the equity of voice service load, then when realizing whole business loads reciprocity, only need to adjust the generation of data service.Like this, realized not only from time dimension, and the equity of the load from Spatial Dimension.In addition, in load equity realizes, the probability density function of load of take carries out matching as target, adopts adaptive control analysis simultaneously, thus can be real-time obtain reciprocity load.
Owing at the very start the difference of the user distribution situation of the ability of system, Signal to Interference plus Noise Ratio, the different fragment position in community being introduced in the analysis of load, although these parameters are got fixed value in the analysis of load, but these parameters can make the appropriate adjustments in practical application, thus the needs of Adaptive change scene.
With reference to accompanying drawing, the application's exemplary embodiment is described above.The example that it should be appreciated by those skilled in the art that above-mentioned embodiment to be only used to the object of explanation and lift, rather than be used for limiting.Any modification of doing under all instructions in the application and claim protection range, be equal to replacement etc., all should be included in the claimed scope of the application.
Claims (9)
1. realize a system for the load equity of test network and actual communication network, wherein, described communication network comprises a plurality of base stations and the community being covered by described base station, and described system comprises:
Field testing device, tests load in described community to obtain the load Distribution in described community; And
To even load generating apparatus, according to the load Distribution in described community, in described test network, carry out load loading, so that the load in the load in described test network and described communication network is reciprocity.
2. the system as claimed in claim 1, wherein, described field testing device is further configured to the distance to base station according to diverse location in community, microzonation is divided near section, He Yuanduan region, stage casing, test respectively described near section, voice service load and loads of data traffic in He Yuanduan region, stage casing, and be combined in voice service in the community of base station end statistics and the data volume of data service, describe the distribution of voice service in community and the load that all business produce, thereby obtain the probability density function of load, wherein said whole business comprises voice service and data service.
3. system as claimed in claim 2, wherein, describedly comprises even load generating apparatus:
Test control center, the division based on described field testing device to community, is divided into the test data from described field testing device to correspond respectively near section of described community, the test data in He Yuanduan region, stage casing; And
Load peer processes center, the test data based on after dividing, generates respectively and described near section of community, the fictitious load of the load equity in He Yuanduan region, stage casing.
4. system as claimed in claim 3, wherein, described load peer processes center comprises:
Voice service load equity device, it comprises: voice service load control module, the first reciprocity matching feedback control module, voice service load generation module, voice service statistical characteristic analysis module, reciprocity speech load output module,
Wherein, in the situation that supposition Signal to Interference plus Noise Ratio is known, described voice service load control module, according to the first degree of fitting coefficient of described the first reciprocity matching feedback control module feedback, is adjusted arrival rate λ and service rate μ with the step of being scheduled to, described voice service load generation module generates simulated voice business load according to described arrival rate λ and service rate μ, described voice service statistical characteristic analysis module is carried out statistical analysis to the simulated voice business load generating and the test data after described division, draw the PDF curve of simulated voice business load, calculate average and the variance of this PDF curve, and the voice service load statistics characteristic of this PDF Curves reflection is outputed to described the first reciprocity matching feedback control module, described the first reciprocity matching feedback control module is carried out fianalysis tting degree to the voice service load recording and described simulated voice business load, to obtain described the first degree of fitting coefficient, and when described the first degree of fitting coefficient surpasses default thresholding, control described reciprocity speech load output module output and community described near section, the simulated voice load of the speech load equity in He Yuanduan region, stage casing, described the first degree of fitting coefficient is fed back to described voice service load control module simultaneously, instruct described voice service load control module to adjust described arrival rate λ and service rate μ to generate the simulated voice business load with the voice service load equity recording,
Whole business load equity devices, it comprises: described voice service load control module, described the first reciprocity matching feedback control module, described voice service load generation module, described voice service statistical characteristic analysis module, described reciprocity speech load output module, loads of data traffic control module, the second reciprocity matching feedback control module, integrated service module, total load equity analysis and output module, whole business statistics specificity analysis module, loads of data traffic generation module
Wherein, described total load equity is analyzed and output module is output in 1 o'clock and described near section of community, the whole business loads of simulation of whole business load equities in He Yuanduan region, stage casing in output judgement, and in output, adjudicating is the whole business loads of described simulation to be fed back to described whole business statistics specificity analysis module at 0 o'clock; Test data and the described simulation whole business loads of described whole business statistics specificity analysis module after to described division carry out statistical analysis, draw the PDF curve of the whole business loads of described simulation, whole business load statistical properties of this PDF Curves reflection are outputed to described the second reciprocity matching feedback control module; Described the second reciprocity matching feedback control module is carried out fianalysis tting degree to the whole business loads that record and the whole business loads of described simulation, to obtain the second degree of fitting coefficient, if described the second degree of fitting coefficient surpasses default thresholding, output judgement is 1, to indicate described total load equity to analyze and output module output and community described near section, the whole business loads of simulation of whole business load equities in He Yuanduan region, stage casing, otherwise described the second degree of fitting coefficient is fed back to described loads of data traffic control module; Described loads of data traffic control module is adjusted the parameter of data service according to setting and modifying criterion, and amended parameter is sent to described loads of data traffic generation module; Described loads of data traffic generation module generates analogue data business load according to described amended parameter; Described integrated service module is synthesized described analogue data business load and described simulated voice business load, thereby obtains the whole business loads of described simulation.
5. system as claimed in claim 4, further comprise terminal, described voice service load equity device is further configured to control described terminal and in described test network, generates corresponding voice service based on described simulated voice business load, and described whole business load equity devices are further configured to control described terminal and in described test network, generate corresponding data service based on the whole business loads of described simulation.
6. a system for test communications network performance, comprising:
The system of the load equity that realizes test network and actual communication network as described in any one in claim 1 to 5; And
Testing apparatus, for testing the performance of described test network, thereby knows the performance of described communication network.
7. realize the method for the load equity of test network and actual communication network, wherein, described communication network comprises a plurality of base stations and the community being covered by described base station, and described method comprises:
Steps A: test load in described community to obtain the load Distribution in described community; And
Step B: according to the load Distribution in described community, carry out load loading in described test network, so that the load in the load in described test network and described communication network is reciprocity.
8. method as claimed in claim 7, wherein, described steps A comprises:
Microzonation is divided near section, He Yuanduan region, stage casing, test respectively voice service load and loads of data traffic in described near section, He Yuanduan region, stage casing, and be combined in voice service in the community of base station end statistics and the data volume of data service, describe the distribution of voice service in community and the load that all business produce, thereby the probability density function that obtains load, wherein said whole business comprise voice service and data service.
9. method as claimed in claim 8, wherein, described step B comprises:
Division based on to community, is divided into the test data obtaining in described steps A to correspond respectively near section of described community, the test data in He Yuanduan region, stage casing; And
Test data based on after dividing, generates respectively and described near section of community, the fictitious load of the load equity in He Yuanduan region, stage casing.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5790534A (en) * | 1996-09-20 | 1998-08-04 | Nokia Mobile Phones Limited | Load control method and apparatus for CDMA cellular system having circuit and packet switched terminals |
| US6625448B1 (en) * | 1999-11-02 | 2003-09-23 | Ericsson Inc. | Acoustic testing system and method for communications devices |
| CN1135746C (en) * | 2000-10-19 | 2004-01-21 | 华为技术有限公司 | Multiple-job load monitoring and forecasting device in CDMA cellular communication system and its calculation method |
| CN101093387A (en) * | 2006-06-23 | 2007-12-26 | 航天东方红卫星有限公司 | Ground simulation test system and test method for controlling satellite attitude based on network on satellites |
| CN101426206A (en) * | 2008-11-26 | 2009-05-06 | 中国移动通信集团广东有限公司 | Method and system for gridding communication network call distribution |
| CN101801020A (en) * | 2010-03-08 | 2010-08-11 | 上海华为技术有限公司 | Method and device for simulating air interface scene |
| CN102067656A (en) * | 2008-06-13 | 2011-05-18 | 爱立信电话股份有限公司 | Method and apparatus for a performance test in an OFDMA system |
| CN102595435A (en) * | 2011-01-04 | 2012-07-18 | 中国移动通信集团公司 | Method and device for establishing peer-to-peer outer-field test environment |
-
2012
- 2012-10-16 CN CN201210392796.0A patent/CN103731867B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5790534A (en) * | 1996-09-20 | 1998-08-04 | Nokia Mobile Phones Limited | Load control method and apparatus for CDMA cellular system having circuit and packet switched terminals |
| US6625448B1 (en) * | 1999-11-02 | 2003-09-23 | Ericsson Inc. | Acoustic testing system and method for communications devices |
| CN1135746C (en) * | 2000-10-19 | 2004-01-21 | 华为技术有限公司 | Multiple-job load monitoring and forecasting device in CDMA cellular communication system and its calculation method |
| CN101093387A (en) * | 2006-06-23 | 2007-12-26 | 航天东方红卫星有限公司 | Ground simulation test system and test method for controlling satellite attitude based on network on satellites |
| CN102067656A (en) * | 2008-06-13 | 2011-05-18 | 爱立信电话股份有限公司 | Method and apparatus for a performance test in an OFDMA system |
| CN101426206A (en) * | 2008-11-26 | 2009-05-06 | 中国移动通信集团广东有限公司 | Method and system for gridding communication network call distribution |
| CN101801020A (en) * | 2010-03-08 | 2010-08-11 | 上海华为技术有限公司 | Method and device for simulating air interface scene |
| CN102595435A (en) * | 2011-01-04 | 2012-07-18 | 中国移动通信集团公司 | Method and device for establishing peer-to-peer outer-field test environment |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105323015A (en) * | 2014-06-18 | 2016-02-10 | 中国移动通信集团公司 | Device for realizing passive device testing |
| CN105323015B (en) * | 2014-06-18 | 2017-09-15 | 中国移动通信集团公司 | A kind of device for realizing passive device test |
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