CN104853379B - A kind of quality of wireless network appraisal procedure and device - Google Patents

A kind of quality of wireless network appraisal procedure and device Download PDF

Info

Publication number
CN104853379B
CN104853379B CN201410055066.0A CN201410055066A CN104853379B CN 104853379 B CN104853379 B CN 104853379B CN 201410055066 A CN201410055066 A CN 201410055066A CN 104853379 B CN104853379 B CN 104853379B
Authority
CN
China
Prior art keywords
cell
preset value
network
rsrp
weak
Prior art date
Application number
CN201410055066.0A
Other languages
Chinese (zh)
Other versions
CN104853379A (en
Inventor
马键
周桂寅
Original Assignee
中国移动通信集团公司
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 中国移动通信集团公司 filed Critical 中国移动通信集团公司
Priority to CN201410055066.0A priority Critical patent/CN104853379B/en
Publication of CN104853379A publication Critical patent/CN104853379A/en
Application granted granted Critical
Publication of CN104853379B publication Critical patent/CN104853379B/en

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements

Abstract

The invention discloses a kind of quality of wireless network appraisal procedure and devices, to improve the accuracy of quality of wireless network assessment result.Wherein, quality of wireless network appraisal procedure includes: to obtain the network quality assessment parameter of any cell, and the network quality assessment parameter includes following any or any combination: Network Measurement Report MR data, warning information and engineering parameter;For different quality of wireless network evaluation types, the quality of wireless network of the cell is assessed according to the network quality of acquisition assessment parameter and exports assessment result.

Description

A kind of quality of wireless network appraisal procedure and device

Technical field

The present invention relates to wireless communication technology field more particularly to a kind of quality of wireless network appraisal procedure and devices.

Background technique

In the prior art, evaluated and optimized for LTE network, the means mainly used at present be drive test (DT, Drive Test).Drive test is the downlink signal to wireless networks such as GSM, WCDMA, TDSCDMA, LTE, that is, each wireless network The air interface (Um) of network is tested, and is mainly used for obtaining following data: serving cell signal intensity, speech quality, adjacent The signal strength instruction Ec and signal quality instruction Ec/Io, switching and the signaling procedure of access, cell of cell know code, region Identification code, service building success rate, switching proportion, uplink and downlink average throughput, geographical location, call manager locating for mobile phone, Mobile management business setup delay it is equivalent, effect essentially consists in the assessment of network quality and the optimization of wireless network.

The service feature of wireless environment is verified according to different requirements, and correlation acquisition data are provided, for branch Making rational planning for for wireless network environment and distributing rationally for resource are held, while related data can be provided for wireless environment issue handling It supports.

It is able to reflect the coverage condition of wireless network by drive test, problem can also be reappeared by drive test.But due to road Road network situation can only be reflected by surveying (DT) data, be unable to characterize indoor coverage situation, and work as and drive test (DT) is used to reappear problem When, problem can not being restored completely, environment occurring, this affects the accuracy of quality of wireless network assessment result.

Summary of the invention

The embodiment of the present invention provides a kind of quality of wireless network appraisal procedure and device, comments to improve quality of wireless network Estimate the accuracy of result.

The embodiment of the present invention provides a kind of quality of wireless network appraisal procedure, comprising:

Obtain the network quality assessment parameter of any cell, network quality assessment parameter include it is following any or Any combination: Network Measurement Report MR data, warning information and engineering parameter;

For different quality of wireless network evaluation types, parameter is assessed to the cell according to the network quality of acquisition Quality of wireless network is assessed and exports assessment result.

The embodiment of the present invention provides a kind of quality of wireless network assessment device, comprising:

Data acquisition module, the network quality for obtaining any cell assess parameter, and the network quality assesses parameter Including following any or any combination: Network Measurement Report MR data, warning information and engineering parameter;

Data analysis module is commented for being directed to different quality of wireless network evaluation types according to the network quality of acquisition Estimate parameter to assess the quality of wireless network of the cell;

Module is presented in output, for exporting assessment result.

Quality of wireless network appraisal procedure provided in an embodiment of the present invention and device, in conjunction with the Network Measurement Report number of cell The quality of wireless network of cell is assessed according to one or more parameter in, warning information and engineering parameter, it is above-mentioned each Network quality is assessed in parameter, and MR data can not only reflect road network situation, can also reflect the feelings of indoor network coverage Condition, thus extend assessment quality of wireless network can with network parameter, thus improve quality of wireless network assessment it is accurate Property.

Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation Specifically noted structure is achieved and obtained in book, claims and attached drawing.

Detailed description of the invention

The drawings described herein are used to provide a further understanding of the present invention, constitutes a part of the invention, this hair Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:

Fig. 1 is the implementation process diagram of quality of wireless network appraisal procedure in the embodiment of the present invention;

Fig. 2 is the implementation process diagram of the weak coverage evaluating of network in the embodiment of the present invention;

Fig. 3 is in the embodiment of the present invention, and quality of wireless network assesses the structural schematic diagram of device.

Specific embodiment

In order to improve the accuracy of quality of wireless network assessment, the embodiment of the invention provides a kind of quality of wireless network to comment Estimate method and device.

Below in conjunction with Figure of description, preferred embodiment of the present invention will be described, it should be understood that described herein Preferred embodiment only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention, and in the absence of conflict, this hair The feature in embodiment and embodiment in bright can be combined with each other.

Quality of wireless network is assessed, other than using drive test (DT) to carry out network coverage test, problem repetition, net Network measurement report (MR) is also very important data.MR data can not only road test data (DT) supplemented, can also solely Vertical evaluation network performance, is the necessary condition for analyzing network structure.As shown in Figure 1, being wireless network provided in an embodiment of the present invention The implementation process diagram of network method for evaluating quality, may comprise steps of:

S101, the network quality for obtaining any cell assess parameter;

Wherein, network quality assessment parameter includes following any or any combination: Network Measurement Report MR data are accused Alert information and engineering parameter;

S102, for different quality of wireless network evaluation types, parameter is assessed to described according to the network quality of acquisition The quality of wireless network of cell is assessed;

S103, output assessment result.

MR data source involved in the embodiment of the present invention is in MR measurement report file.MR measurement report file be divided into MRO, Tri- kinds of data types of MRE and MRS, MRO represent measurement report sample data file, do not include the sample data of event triggering, MRE The measurement report sample data of event triggering is represented, MRS represents measurement report statistical data file.

MR measurement report file includes: data type, equipment manufacturer's information, eNodeB (base station) information, Cell (cell) Information, C-RNTI (RRC connection temporary identifier) information, MR measurement item index, time of measuring, on call time and measurement period;MR Data include cell-level data, are specifically included: the weak coverage of cell (%), covering adjacent area missing probability (%), cell edge are weak Coverage strength (%), outdoor beat indoor probability (%) etc..

Warning information involved in the embodiment of the present invention may include: antenna warning information and RRU warning information and ENodeB information, Cell information, alarm code, standard alarm code, alarm level, time of origin, the alarm clearing time and continue Time (hh:mm:ss) etc.;

Engineering parameter involved in the embodiment of the present invention can be, but not limited to include: eNodeB information, Cell information, frequency The base stations such as point, PCI, base station longitude, base station latitude, overlay area, cover type, antenna azimuth, angle of declination, antenna height letter Breath.

Embodiment in order to better understand the present invention is below illustrated the quality of wireless network assessment of weak covering.

As shown in Fig. 2, being the implementation process diagram of the weak coverage evaluating of network, may comprise steps of:

S201, check whether the weak coverage of cell is more than weak coverage threshold value, if so, step S202 is executed, if No, process terminates.

Preferably, weak coverage threshold value can be, but not limited to be set as 5%, if meeting Rule of judgment, illustrate cell There are weak covering problems, enter step S202;Otherwise illustrate that the cell judges process without covering problem termination.

Wherein the weak coverage of cell is MR data, refers to ratio of the weak covering sampled point in whole sampled points in cell, i.e.,Wherein: R indicates the weak coverage of cell;R indicates the weak covering sampled point quantity of cell, the weak covering sampled point of cell Quantity is the sampled point quantity that Reference Signal Received Power RSRP is lower than the first preset value in the cell;T indicates all samplings Point quantity.By taking the first preset value is set as -110dBm as an example, weak covering sampled point quantity refers to main serving cell in MR data The sampled point quantity of RSRP (Reference Signal Received Power) < -110dBm, and the weak coverage of cell=weak covering sampling number/total Sampling number * 100%.

Whether S202, the warning information for checking cell include antenna warning information or RRU (Remote Radio Unit) alarm Information, if so, step S203 is executed, if not, executing step S204.

S203, it is determined as the weak covering of network caused by hardware device failure, process terminates.

When it is implemented, if the warning information of cell can be determined as hardware device there are antenna and the alarm of RRU correlation The weak covering of network caused by failure, and assessment result is exported, as shown in table 1:

Table 1

Questions and prospect Suggestion and measure Weak covering caused by hardware device failure Failure is checked by warning information

S204, judge to cover whether adjacent area missing probability is more than missing probability threshold value, if so, step S205 is executed, If not, executing step S206;

Preferably, missing probability threshold value can be, but not limited to be set as 5%.

S205, it is determined as the weak covering of network caused by the leakage of adjacent area, process terminates.

If the covering adjacent area missing probability of cell is greater than missing probability threshold value (5%), it is determined that cause for adjacent area leakage The weak covering of network, and export judging result, as shown in table 2:

Table 2

Questions and prospect Suggestion and measure Weak covering caused by the leakage of adjacent area Check adjacent area leakage (serving cell-adjacent cell to)

Wherein covering adjacent area missing probability is MR data, can be, but not limited to be determined in the following way:Wherein: P1Indicate that covering adjacent area lacks probability;N indicates that the cell RSRP is lower than the sampling of the second preset value In point, physics adjacent area RSRP is higher than second preset value and is greater than the sampling of third preset value with the difference of the cell RSRP Point quantity;N indicates that the cell RSRP is lower than the sampled point quantity of the second preset value.It is set as -110dBm with the second preset value, Third preset value is set as 3dB, and covering adjacent area missing probability is the sampled point that main serving cell RSRP is less than -110dBm In, the RSRP of the neighboring community of non-neighboring BS relationship is greater than shared by -110dBm and the sampled point of 3dB higher than main serving cell RSRP Ratio, i.e. (physics adjacent area RSRP > -110dBm&& (physics adjacent area RSRP- main serving cell RSRP > 3dB) && main serving cell RSRP < -110dBm sampling number) the total sampling number * 100% of/main serving cell RSRP < -110dBm.Adjacent area missing: satisfaction is covered Lid adjacent area lack probability > 5% physics adjacent area, output adjacent area lack sampled point > 30, lack accounting > 50% serving cell with Lack adjacent cell pair.

S206, judge whether the weak coverage strength of cell edge is more than the weak coverage strength threshold value in edge, if so, executing step Rapid S207, it is no to then follow the steps S212.

Preferably, the weak coverage strength threshold value in the edge of cell can be, but not limited to be set as 70%.

Wherein the weak coverage strength in edge is MR data, can be, but not limited to determine in the following way: Wherein: S indicates the weak coverage strength of cell edge;M indicates cell RSRP lower than in the sampled point of the 4th preset value, and adjacent area RSRP is low In the 4th preset value or without the sampled point quantity of adjacent area RSRP;M indicates the cell RSRP lower than the 4th preset value Sampled point quantity.By taking the 4th preset value is set as -110dBm as an example, the weak coverage strength in edge refers to that main serving cell RSRP is small In the sampled point of -110dBm, most strong adjacent area RSRP is again smaller than -110dBm or shared by the sampled point without other neighboring area signals Ratio, i.e. ((adjacent cell RSRP < -110dBm or without adjacent area RSRP) && main serving cell RSRP < -110dBm sampling number)/main Serving cell RSRP < -110dBm sampling number * 100%.

S207, judge whether minimum station spacing is more than station spacing threshold value, if so, step S208 is executed, if not, holding Row step S209;

If meeting the weak coverage strength > thresholding (70%) in edge, then judge whether minimum station spacing is greater than station spacing thresholding Value, wherein minimum station spacing refers to the linear distance being separated by between two nearest LTE websites according to calculation of longitude & latitude.Preferably , station spacing threshold value can be, but not limited to be set as 1500 meters.

S208, it is determined as the weak covering of network caused by isolated cell, process terminates.

Judging result is exported, as shown in table 3:

Table 3

Questions and prospect Suggestion and measure Weak covering caused by isolated cell Station is added to mend covering

S209, judge that outdoor beats whether indoor probability is more than that indoor probability threshold value is beaten in outdoor, if so, executing step Otherwise S210 executes step S211;

If being unsatisfactory for minimum station spacing > thresholding (1500 meters), then judge that outdoor beats whether indoor probability is greater than outdoor beat Indoor probability threshold value.Wherein outdoor interior probability of beating is MR data, can be, but not limited to determine in the following way:Wherein: P2Indicate that indoor probability is beaten in outdoor;K indicates that the cell RSRP is lower than the sampling of the 5th preset value In point, RSRP is greater than the 6th preset value and is less than the 5th preset value and the absolute difference between the cell RSRP Less than the sampled point quantity that the quantity of the adjacent area of the 7th preset value is no more than the 8th preset value;K indicates that the cell RSRP is lower than The sampled point quantity of 5th preset value.It is set as -110dBm with the 5th preset value, the 6th preset value is set as -120dBm, the 7th Preset value is set as 6dB and the 8th preset value is set as 1, outdoor beat interior probability refer to main serving cell RSRP <- In the sampled point of 110dBm, main plot RSRP is between -110dBm and -120dBm and meets | and adjacent cell RSRP- master is small Area RSRP | ratio shared by sampled point of the adjacent area number less than or equal to 1 less than 6dB.Preferably, outdoor beat indoor probability threshold Value can be, but not limited to be set as 35%.

S210, it is determined as normal outdoor cover indoor scene, process terminates.

Judging result is exported, as shown in table 4:

Table 4

Questions and prospect Normal outdoor cover indoor scene

S211, it is determined as the weak covering of network caused by the weak covering of cell edge.

Judging result is exported, as shown in table 5:

Table 5

S212, other special weak covering scenes.

Specifically, the results are shown in Table 6 for output:

Table 6

Questions and prospect Suggestion and measure Other special screnes Special analysis, scene investigation

Preferably, before executing step 102, can also assess the network quality of acquisition and join in the embodiment of the present invention Number is pre-processed, and is formed the basic informations lists such as MR, alarm and engineering parameter and is stored;Need are analyzed according to quality of wireless network MR data are defined, and forms the pre- statistical form of MR data and stores;According to quality of wireless network analysis method, call relevant The basic informations lists such as the pre- statistical form of MR, alarm.Wherein, MR sample data is pre-processed, be respectively formed cell granularity with And hour granularity the pre- statistical form of MR and store.MR measurement report file, according to tri- kinds of MRO, MRE and MRS different MR data Type, the statistics that calls time above and the basic information list for forming MR data.

For warning information, to alert time of origin statistics storage and form the basic information list of alarm data.

For engineering parameter, statistics storage is carried out with Cell information and forms the basic information list of engineering parameter.

Preferably, can be, but not limited to present in a manner of report, tendency chart, distribution map, GIS map and document etc. corresponding The assessment result of the weak coverage evaluating of network.Wherein: distribution map is intuitively presented normal in network in a manner of distribution map (histogram) The ratio situation of cell and problem cells, while disparate networks reason is intuitively also presented in a manner of distribution map (histogram) and leads The problem of cause cell ratio situation;The a certain examination of certain cell in network is intuitively flexibly presented in a manner of tendency chart and is referred to for tendency chart Variation tendency situation (such as day granularity) was marked within the scope of a period of time;Report is divided into be commented including the assessment of the whole network grade and cell-level Estimate, the total evaluation situation of the whole network grade assessment output network;Cell-level assessment exports detailed cell evaluation as a result, case study Positioning scenarios;GIS map is exported the ground physics and chemistry distribution situation of the problem cells LTE in a manner of GIS map, is in different colors Existing cell evaluation situation;Document exports the detailed assessment result of LTE cell in a manner of document, network problem positions and excellent Change adjustment to suggest.

Quality of wireless network appraisal procedure provided in an embodiment of the present invention can be applied to the assessment of LTE quality of wireless network, It can certainly be applied to other types quality of wireless network to assess, such as TD-SCDMA, GSM, WCDMA and CDMA2000 etc. are each The wireless network of seed type.

Information is joined based on work in the embodiment of the present invention, network optimization personnel is helped more intuitively to judge network problem;It utilizes Network Measurement Report (MR) data, not only can reflect out road network situation, can also carry out the judgement of indoor network coverage, Network structure is clearly judged.In addition, the embodiment of the invention also provides optimizations to build according to the network problem of judgement View.

Based on the same inventive concept, a kind of quality of wireless network assessment device is additionally provided in the embodiment of the present invention, due to The principle that above-mentioned apparatus solves the problems, such as is similar to quality of wireless network appraisal procedure, therefore the implementation side of may refer to of above-mentioned apparatus The implementation of method, overlaps will not be repeated.

As shown in figure 3, assessing the structural schematic diagram of device for quality of wireless network provided in an embodiment of the present invention, comprising:

Data acquisition module 301, the network quality for obtaining any cell assess parameter, and network quality assesses parameter packet Include following any or any combination: Network Measurement Report MR data, network performance index KPI data, warning information, cell Parameter and engineering parameter;

Data analysis module 302, for being directed to different quality of wireless network evaluation types, according to the network quality of acquisition Assessment parameter assesses the quality of wireless network of cell;

Module 303 is presented in output, for exporting assessment result.

When it is implemented, quality of wireless network evaluation type includes the weak coverage evaluating of network;MR data, which include that cell is weak, to be covered Indoor probability is beaten in cover degree, covering adjacent area missing probability, the weak coverage strength of cell edge, outdoor;Engineering parameter includes base station longitude And base station latitude;And

Data analysis module 302, comprising:

If the weak coverage evaluating submodule 3021 of network checks be more than weak coverage threshold value for the weak coverage of cell Whether warning information includes antenna warning information or radio frequency remote unit RRU warning information;If including antenna warning information or Person's radio frequency remote unit RRU warning information is determined as the weak covering of network caused by hardware device failure;If not including antenna alarm Information or radio frequency remote unit RRU warning information judge to cover whether adjacent area missing probability is more than missing probability threshold value;If Covering adjacent area missing probability is more than missing probability threshold value, is determined as the weak covering of network caused by the leakage of adjacent area;If covering adjacent area It lacks probability and is no more than missing probability threshold value, judge whether the weak coverage strength of cell edge is more than the weak coverage strength thresholding in edge Value;If the weak coverage strength of cell edge is more than the weak coverage strength threshold value in edge, determined most according to base station longitude and base station latitude Small station spacing simultaneously judges whether the minimum station spacing determined is more than station spacing threshold value;If minimum station spacing is more than station spacing door Limit value is determined as the weak covering of network caused by isolated cell;If minimum station spacing is no more than station spacing threshold value, outdoor beat is judged Whether indoor probability is more than that indoor probability threshold value is beaten in outdoor;If indoor probability is beaten in outdoor beats indoor probability threshold no more than outdoor Value, is determined as the weak covering of network caused by the weak covering of cell edge.

When it is implemented, data analysis module, can also include: that the weak coverage of cell determines submodule 3022, for pressing The weak coverage of the cell is determined according to following methods:Wherein: R indicates the weak coverage of cell;R indicates that cell is weak Sampled point quantity is covered, the weak covering sampled point quantity of cell is that Reference Signal Received Power RSRP is lower than the in the cell The sampled point quantity of one preset value;T indicates whole sampled point quantity.

When it is implemented, data analysis module, can also include: covering adjacent area missing determine the probability submodule 3023, use Adjacent area missing probability is covered in determining in accordance with the following methods:Wherein: P1Indicate that covering adjacent area lacks probability;n Indicate the cell RSRP lower than the second preset value sampled point in, physics adjacent area RSRP be higher than second preset value and with institute The difference for stating cell RSRP is greater than the sampled point quantity of third preset value;N indicates the cell RSRP lower than the second preset value Sampled point quantity.

When it is implemented, data analysis module, can also include: that the weak coverage strength of cell edge determines submodule 3024, For determining the weak coverage strength of cell edge in accordance with the following methods:Wherein: S indicates the weak covering of cell edge Intensity;M indicates cell RSRP lower than in the sampled point of the 4th preset value, and adjacent area RSRP is lower than the 4th preset value or without neighbour The sampled point quantity of area RSRP;M indicates that the cell RSRP is lower than the sampled point quantity of the 4th preset value.

When it is implemented, data analysis module, can also include: that indoor determine the probability submodule 3025 is beaten in outdoor, be used for Determine that indoor probability is beaten in outdoor in accordance with the following methods:Wherein: P2Indicate that indoor probability is beaten in outdoor;K indicates institute State cell RSRP lower than the 5th preset value sampled point in, RSRP be greater than the 6th preset value and be less than the 5th preset value and Absolute difference between the cell RSRP is no more than adopting for the 8th preset value less than the quantity of the adjacent area of the 7th preset value Sampling point quantity;K indicates that the cell RSRP is lower than the sampled point quantity of the 5th preset value.

Can be used for exporting assessment result using following either type preferably, module 303 is presented in output: distribution map becomes Gesture figure, report, GIS map and document.

When it is implemented, quality of wireless network assessment device provided in an embodiment of the present invention can also include data prediction Module, for being directed to different quality of wireless network evaluation types for different in data analysis module 302, according to acquisition Before network quality assessment parameter is assessed to the quality of wireless network of cell and exports assessment result, to the network matter of acquisition Amount assessment parameter is pre-processed.

For convenience of description, above each section is divided by function describes respectively for each module (or unit).Certainly, exist Implement to realize the function of each module (or unit) in same or multiple softwares or hardware when the present invention.

It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more, The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces The form of product.

The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates, Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or The function of being specified in multiple boxes.

These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one The step of function of being specified in a box or multiple boxes.

Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic Property concept, then additional changes and modifications can be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as It selects embodiment and falls into all change and modification of the scope of the invention.

Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies Within, then the present invention is also intended to include these modifications and variations.

Claims (14)

1. a kind of quality of wireless network appraisal procedure characterized by comprising
The network quality assessment parameter of any cell is obtained, the network quality assessment parameter includes following any or any Combination: Network Measurement Report MR data, warning information and engineering parameter, wherein the MR data include the weak coverage of cell, cover Indoor probability is beaten in lid adjacent area missing probability, the weak coverage strength of cell edge, outdoor;The engineering parameter includes base station longitude and base It stands latitude;
It is the weak coverage evaluating of network for quality of wireless network evaluation type, parameter is assessed to described according to the network quality of acquisition The quality of wireless network of cell is assessed and exports assessment result, comprising: if the weak coverage of cell is more than weak coverage thresholding When value, check whether the warning information includes antenna warning information or radio frequency remote unit RRU warning information;If including day Line warning information or radio frequency remote unit RRU warning information are determined as the weak covering of network caused by hardware device failure;If no Including antenna warning information or radio frequency remote unit RRU warning information, judge to cover whether adjacent area missing probability is more than missing Probability threshold value;If covering adjacent area missing probability more than missing probability threshold value, is determined as, network caused by the leakage of adjacent area is weak to be covered Lid;If covering adjacent area missing probability is no more than missing probability threshold value, judge whether the weak coverage strength of cell edge is more than edge Weak coverage strength threshold value;If the weak coverage strength of cell edge is more than the weak coverage strength threshold value in edge, according to base station longitude and Base station latitude determines minimum station spacing and judges whether the minimum station spacing determined is more than station spacing threshold value;If between minimum station Away from being more than station spacing threshold value, it is determined as the weak covering of network caused by isolated cell;If minimum station spacing is no more than station spacing door Limit value judges that outdoor beats whether indoor probability is more than that indoor probability threshold value is beaten in outdoor;If indoor probability is beaten in outdoor is no more than room Indoor probability threshold value is beaten outside, is determined as the weak covering of network caused by the weak covering of cell edge.
2. the method as described in claim 1, which is characterized in that determine the weak coverage of the cell in accordance with the following methods:Wherein:
R indicates the weak coverage of cell;
R indicates that the weak covering sampled point quantity of cell, the weak covering sampled point quantity of cell are that reference signal connects in the cell Receive the sampled point quantity that power RSRP is lower than the first preset value;
T indicates whole sampled point quantity.
3. the method as described in claim 1, which is characterized in that determine that covering adjacent area lacks probability in accordance with the following methods:Wherein:
P1Indicate that covering adjacent area lacks probability;
N indicates the cell RSRP lower than in the sampled point of the second preset value, and physics adjacent area RSRP is higher than second preset value And it is greater than the sampled point quantity of third preset value with the difference of the cell RSRP;
N indicates that the cell RSRP is lower than the sampled point quantity of the second preset value.
4. the method as described in claim 1, which is characterized in that determine the weak coverage strength of cell edge in accordance with the following methods:Wherein:
S indicates the weak coverage strength of cell edge;
M indicates cell RSRP lower than in the sampled point of the 4th preset value, and adjacent area RSRP is lower than the 4th preset value or without neighbour The sampled point quantity of area RSRP;
M indicates that the cell RSRP is lower than the sampled point quantity of the 4th preset value.
5. the method as described in claim 1, which is characterized in that determine that indoor probability is beaten in outdoor in accordance with the following methods:Wherein:
P2Indicate that indoor probability is beaten in outdoor;
K indicates the cell RSRP lower than in the sampled point of the 5th preset value, and RSRP is greater than the 6th preset value and is less than described the Five preset values and absolute difference between the cell RSRP are no more than the 8th less than the quantity of the adjacent area of the 7th preset value The sampled point quantity of preset value;
K indicates that the cell RSRP is lower than the sampled point quantity of the 5th preset value.
6. the method as described in claim 1, which is characterized in that export assessment result using following either type: distribution map becomes Gesture figure, report, GIS map and document.
7. the method as described in claim 1, which is characterized in that for different quality of wireless network evaluation types, according to obtaining Before the network quality assessment parameter taken is assessed to the quality of wireless network of the cell and exports assessment result, also wrap It includes:
The network quality assessment parameter of acquisition is pre-processed.
8. a kind of quality of wireless network assesses device characterized by comprising
Data acquisition module, the network quality for obtaining any cell assess parameter, and the network quality assessment parameter includes Any below or any combination: Network Measurement Report MR data, warning information and engineering parameter, wherein the MR data Indoor probability is beaten including the weak coverage of cell, covering adjacent area missing probability, the weak coverage strength of cell edge, outdoor;The engineering Parameter includes base station longitude and base station latitude;
Data analysis module, for being the weak coverage evaluating of network for quality of wireless network evaluation type, according to the network of acquisition Quality assessment parameter assesses the quality of wireless network of the cell;The data analysis module, comprising: the weak covering of network Submodule is assessed, if be more than weak coverage threshold value for the weak coverage of cell, checks whether the warning information includes day Line warning information or radio frequency remote unit RRU warning information;If being accused including antenna warning information or radio frequency remote unit RRU Alert information, is determined as the weak covering of network caused by hardware device failure;If not including antenna warning information or remote radio list First RRU warning information judges to cover whether adjacent area missing probability is more than missing probability threshold value;If it is super to cover adjacent area missing probability Missing probability threshold value is crossed, the weak covering of network caused by the leakage of adjacent area is determined as;If covering adjacent area missing probability is no more than missing Probability threshold value judges whether the weak coverage strength of cell edge is more than the weak coverage strength threshold value in edge;It is covered if cell edge is weak Lid intensity is more than the weak coverage strength threshold value in edge, determines minimum station spacing according to base station longitude and base station latitude and judges to determine Whether minimum station spacing out is more than station spacing threshold value;If minimum station spacing is more than station spacing threshold value, it is determined as isolating small The weak covering of network caused by area;If minimum station spacing is no more than station spacing threshold value, judge it is outdoor beat interior probability whether be more than Indoor probability threshold value is beaten in outdoor;If indoor probability is beaten in outdoor beats indoor probability threshold value no more than outdoor, it is determined as cell side The weak covering of network caused by the weak covering of edge;
Module is presented in output, for exporting assessment result.
9. device as claimed in claim 8, which is characterized in that the data analysis module, further includes:
The weak coverage of cell determines submodule, for determining the weak coverage of the cell in accordance with the following methods: Wherein: R indicates the weak coverage of cell;R indicates the weak covering sampled point quantity of cell, and the weak covering sampled point quantity of cell is institute State the sampled point quantity that Reference Signal Received Power RSRP in cell is lower than the first preset value;T indicates whole sampled point quantity.
10. device as claimed in claim 8, which is characterized in that the data analysis module, further includes:
It covers adjacent area and lacks determine the probability submodule, for determining that covering adjacent area lacks probability in accordance with the following methods:Wherein: P1Indicate that covering adjacent area lacks probability;N indicates the cell RSRP adopting lower than the second preset value In sampling point, physics adjacent area RSRP is higher than second preset value and is greater than adopting for third preset value with the difference of the cell RSRP Sampling point quantity;N indicates that the cell RSRP is lower than the sampled point quantity of the second preset value.
11. device as claimed in claim 8, which is characterized in that the data analysis module, further includes:
The weak coverage strength of cell edge determines submodule, for determining the weak coverage strength of cell edge in accordance with the following methods:Wherein: S indicates the weak coverage strength of cell edge;M indicates that cell RSRP is lower than the sampled point of the 4th preset value In, adjacent area RSRP is lower than the 4th preset value or the sampled point quantity without adjacent area RSRP;M indicates that the cell RSRP is lower than The sampled point quantity of 4th preset value.
12. device as claimed in claim 8, which is characterized in that the data analysis module, further includes:
Indoor determine the probability submodule is beaten in outdoor, for determining that indoor probability is beaten in outdoor in accordance with the following methods: Wherein: P2Indicate that indoor probability is beaten in outdoor;K indicates the cell RSRP lower than in the sampled point of the 5th preset value, and RSRP is greater than 6th preset value is simultaneously less than the 5th preset value and the absolute difference between the cell RSRP less than the 7th preset value Adjacent area quantity be no more than the 8th preset value sampled point quantity;K indicates the cell RSRP adopting lower than the 5th preset value Sampling point quantity.
13. device as claimed in claim 8, which is characterized in that
Module is presented in the output, is specifically used for exporting assessment result using following either type: distribution map, tendency chart, report, GIS map and document.
14. device as claimed in claim 8, which is characterized in that further include:
Data preprocessing module, for being directed to different quality of wireless network evaluation types in the data analysis module, according to Before the network quality assessment parameter of acquisition assesses the quality of wireless network of the cell, the network quality of acquisition is commented Estimate parameter to be pre-processed.
CN201410055066.0A 2014-02-18 2014-02-18 A kind of quality of wireless network appraisal procedure and device CN104853379B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410055066.0A CN104853379B (en) 2014-02-18 2014-02-18 A kind of quality of wireless network appraisal procedure and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410055066.0A CN104853379B (en) 2014-02-18 2014-02-18 A kind of quality of wireless network appraisal procedure and device

Publications (2)

Publication Number Publication Date
CN104853379A CN104853379A (en) 2015-08-19
CN104853379B true CN104853379B (en) 2019-01-01

Family

ID=53852651

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410055066.0A CN104853379B (en) 2014-02-18 2014-02-18 A kind of quality of wireless network appraisal procedure and device

Country Status (1)

Country Link
CN (1) CN104853379B (en)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105451257B (en) * 2015-12-04 2018-11-30 中国联合网络通信集团有限公司 The method and device of data service positioning problems
CN106856608B (en) * 2015-12-09 2019-12-20 中国联合网络通信集团有限公司 LTE network base station coverage effectiveness evaluation method and device
CN106879003B (en) * 2015-12-11 2019-12-10 中国移动通信集团山东有限公司 network optimization quality evaluation method and device
CN106937306B (en) * 2015-12-30 2019-10-15 中国移动通信集团上海有限公司 A kind of network quality appraisal procedure and device
CN105578508B (en) * 2016-01-12 2019-01-25 四川亨通网智科技有限公司 Method based on user behavior characteristics assessment road network quality
CN105472644B (en) * 2016-01-12 2019-04-16 四川亨通网智科技有限公司 Depth overlay network method for evaluating quality and system based on user behavior characteristics
CN107027138B (en) * 2016-01-29 2019-09-17 中国移动通信集团福建有限公司 A kind of room divides hidden failure to check method and device
CN107371183A (en) * 2016-05-11 2017-11-21 大唐移动通信设备有限公司 A kind of output intent and device of network quality report
CN107548086A (en) * 2016-06-24 2018-01-05 中兴通讯股份有限公司 Root is because of localization method and device
CN105959976B (en) * 2016-07-20 2019-01-08 张华� VoLTE analysis method based on measurement report
CN107734525A (en) * 2016-08-10 2018-02-23 中国移动通信集团广东有限公司 A kind of LTE system RS balances based on frequency sweep determine method and device
CN107889138A (en) * 2016-09-30 2018-04-06 法乐第(北京)网络科技有限公司 Communication link quality determines method, communication link system of selection and its device
CN106559803A (en) * 2017-01-18 2017-04-05 北京市天元网络技术股份有限公司 A kind of base station construction appraisal procedure and device
CN109803274A (en) * 2017-11-17 2019-05-24 中国移动通信集团公司 A kind of antenna azimuth optimization method and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102202330A (en) * 2011-05-23 2011-09-28 北京邮电大学 Coverage self-optimization method of cellular mobile communication system
CN102572858A (en) * 2012-02-16 2012-07-11 大唐移动通信设备有限公司 Method and device for automatically detecting network weak coverage
CN103179580A (en) * 2011-12-23 2013-06-26 中兴通讯股份有限公司 Method and device for self-adaptively optimizing coverage

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9065583B2 (en) * 2010-04-13 2015-06-23 Qualcomm Incorporated Method and apparatus for inferring user equipment interference suppression capability from measurements report

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102202330A (en) * 2011-05-23 2011-09-28 北京邮电大学 Coverage self-optimization method of cellular mobile communication system
CN103179580A (en) * 2011-12-23 2013-06-26 中兴通讯股份有限公司 Method and device for self-adaptively optimizing coverage
CN102572858A (en) * 2012-02-16 2012-07-11 大唐移动通信设备有限公司 Method and device for automatically detecting network weak coverage

Also Published As

Publication number Publication date
CN104853379A (en) 2015-08-19

Similar Documents

Publication Publication Date Title
JP6411435B2 (en) Method and system for maintaining or optimizing a cellular network
US20160021503A1 (en) Machine learning-based geolocation and hotspot area identification
López‐Benítez et al. Methodological aspects of spectrum occupancy evaluation in the context of cognitive radio
US9229090B2 (en) Method for indoor/outdoor call judgment
US8831586B2 (en) Method and system for reporting neighbor cell information
US20170059687A1 (en) Device-location estimation based on rssi measurements over wifi and bluetooth
DE60021703T2 (en) Apparatus and method for detecting and analyzing radio signal propagation in a wireless system
US10306415B2 (en) Method for positioning using wireless signal and positioning server
CN103888965A (en) Pseudo base station positioning method
US9282477B2 (en) Modifying log files and playback files used for wireless network emulation
CN106256144A (en) User&#39;s set, base station, communication access method and communication means
US10743276B2 (en) Signal quality database
CN105611568B (en) A method of LTE terminal position is accurately positioned based on MRO measurement report
US9961571B2 (en) System and method for a multi view learning approach to anomaly detection and root cause analysis
JP4886647B2 (en) Frequency channel selection device, frequency channel selection method, and computer program
Barnes et al. Spectrum occupancy investigation: measurements in South Africa
US20120108246A1 (en) METHOD AND APPARATUS FOR OPTIMIZING THE LOCATION OF HETEROGENEOUS UNDERLAID EVOLVED NODE-Bs
CN103181209A (en) Methods and apparatus to limit reporting of neighbor cell measurements
JP2006121688A (en) Management server for determining user-perceived quality of service map in mobile communications network
CN104065431B (en) The tasks carrying of radio monitoring unmanned system and monitoring method
US20150350923A1 (en) Network coverage planning method and apparatus of evolution communication system
CN103581995A (en) Method for measuring coverage performance of mobile communication network
CN103906109B (en) A kind of mobile communication system interference investigation method and apparatus
TWI600291B (en) Improved coverage estimation of wireless cellular networks by user equipment (ue) idle mode measurements
Kibiłda et al. Modelling multi-operator base station deployment patterns in cellular networks

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
EXSB Decision made by sipo to initiate substantive examination
GR01 Patent grant
GR01 Patent grant