CN101621808B

CN101621808B - Method and device for confirming cell coverage area

Info

Publication number: CN101621808B
Application number: CN2009100900574A
Authority: CN
Inventors: 于翠波; 兰丽娜; 张勖; 勾学荣; 毛京丽; 张大伟; 李巍; 路宏琦; 李大伟; 于明凯; 王栩楠; 谢韫涵; 柴莎莎
Original assignee: Beijing Greennet Communications Technologies Co Ltd; Beijing University of Posts and Telecommunications
Current assignee: Beijing Greennet Communications Technologies Co Ltd; Beijing University of Posts and Telecommunications
Priority date: 2009-07-27
Filing date: 2009-07-27
Publication date: 2011-02-02
Anticipated expiration: 2029-07-27
Also published as: CN101621808A

Abstract

The invention discloses a method and a device for confirming a cell coverage area. The method comprises the following steps: step A, collecting and choosing initial data needed for confirming a coverage area of a source cell from an operation and maintenance center system; step B, acquiring category messages of each sample cell after classifying each sample cell according to the collected and chosen initial data needed for confirming the coverage area of the source cell; and acquiring the coverage area of the source cell according to the category messages of each sample cell. The invention can accurately confirm the coverage area of the source cell in time, and can judge the deviation of the coverage area of the source cell through a plurality of coverage areas of the source cell, which are obtained by comparing the initial data which are in different time quantum and are collected and chosen from the OMC system, thereby helping an operator timely and effectively discover the deviation of the coverage area of the source cell and better performing network maintenance and optimization.

Description

A kind of method and apparatus of definite cell coverage area

Technical field

The present invention relates to the sub-district soverlay technique in the mobile communication, be specifically related to a kind of method and apparatus of definite cell coverage area.

Background technology

Recent two decades comes, and the land wireless mobile communications has been obtained swift and violent development.Communicating by letter between cellphone subscriber and the base station is that the mode with electromagnetic wave propagation is carried out informational linkage.In a mobile communications network, generally include the huge sub-district of quantity, all there is the coverage of oneself each sub-district, one of key factor that influences the mobile communication quality is exactly that the sub-district covering goes wrong, such as area covered, critical covering, owe to cover etc., therefore, how to determine in comprising the mobile communications network of a large amount of sub-districts that the coverage of each sub-district is most important for the network optimization.

The mode that two kinds of definite cell coverage areas are generally arranged in the prior art:

1) drive test mode.

Being survey crew advances along certain measuring route in the sub-district of required measurement and sub-district, sampled point place by walking, mode such as drive, and in traveling process, utilize the field intensity value of this sub-district on this measuring route of field test instrument point-to-point measurement, to obtain the field strength distribution of this sub-district, because the measuring route in this drive test mode is a wire, the data (field intensity value) of being gathered when therefore measuring field intensity also are wire, and promptly measured field intensity data are the field intensity value of this sub-district on measuring route.Owing to be subjected to the restriction of factors such as ground, landform and cost, therefore can not obtain the field intensity data of every bit in the required measured zone, and can only obtain the part centrifugal pump in this sub-district field strength distribution by above-mentioned drive test mode.

2) prediction mode.

Can utilize the field strength distribution of known region and predict the difficult field strength distribution of surveying the zone by corresponding algorithm (for example, field intensity prediction algorithm).In described prediction mode, not only require the propagation model in the above-mentioned algorithm to meet the actual conditions of current network, and in forecasting process, also need a lot of very detailed geodatas.For example, above-mentioned geodata can comprise data such as landform, landforms, building position, also can comprise parameters such as concrete landform tendency information, depth of building information, even also can comprise the parameters such as material information of each obstacle; And, owing to actual geographical environment is all changing all the time, thereby cause above-mentioned geodata also changing at any time, so use above-mentioned prediction mode generally to be difficult to obtain very realistic predicting the outcome.Therefore, above-mentioned prediction mode need be analyzed, fit, add up a large amount of measured datas, and needed data volume is big, amount of calculation is also big, need supporting geodata, effectual time little.

Hence one can see that, in the method for existing definite cell coverage area, or need expend a large amount of manpower and materials and measure, or need a large amount of mathematical statisticses to calculate, and all can not determine sub-district level coverage real-time and accurately.

Summary of the invention

In view of this, main purpose of the present invention is to provide a kind of method and apparatus of determining cell coverage area in mobile communications network, can determine the coverage of sub-district real-time and accurately, help operator to find the coverage error of sub-district timely and effectively, thereby carry out network operation and optimization work better.

For achieving the above object, technical scheme of the present invention specifically is achieved in that

A kind of method of definite cell coverage area, described method comprises:

Steps A, from OMC operation and maintenance centre OMC system, gather and choose and determine the required initial data of cell-of-origin coverage; Wherein, described cell-of-origin is the sub-district of required definite coverage;

Step B, classified in each sampled point sub-district, obtain the classified information of each sampled point sub-district according to institute's required initial data of definite cell-of-origin coverage of gathering and choosing; Obtain the coverage of cell-of-origin according to the classified information of each sampled point sub-district; Wherein, described sampled point sub-district is the sub-district at the sampled point place beyond the described cell-of-origin.

The required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin; The classified information of described each sampled point sub-district is the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district; Described step B comprises:

The number of times that the average descending level value in each cell-of-origin occurs in step B1, the statistics initial data that definite cell-of-origin coverage of gathering and choosing is required, and calculate the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values;

Step B2, be transverse axis with the average descending level value in cell-of-origin, with the probability is the longitudinal axis, and carry out level and smooth line with the probability that the rolling average algorithm occurs in all cell-of-origin average level values the average descending level value in each cell-of-origin and obtain a probability curve, be that waypoint carries out interval division to the average descending level value in cell-of-origin with the trough of described probability curve;

Step B3, each sampled point microzonation is assigned in the average descending level interval, different cell-of-origins, thereby obtained average descending level interval, the cell-of-origin classified information of each sampled point sub-district according to the average descending level in cell-of-origin of institute's each sampled point sub-district correspondence of gathering and choosing;

Step B4, obtain the coverage of cell-of-origin according to the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district.

The required initial data of described definite cell-of-origin coverage comprises: the cell-of-origin to the sampled point number in the weak jamming interval of each sampled point sub-district, cell-of-origin to the sampled point number between the critical interference range of each sampled point sub-district and cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district; The classified information of described each sampled point sub-district is the sampled point number classified information of each sampled point sub-district;

Described step B comprises:

Step B11, the institute cell-of-origin of gathering and choosing is carried out mean value computation respectively to the sampled point number between three interference ranges of each sampled point sub-district, the average sample that obtains between corresponding interference range is counted out;

Step B12, the magnitude relationship between according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and the average sample between corresponding interference range being counted out are classified to each sampled point sub-district, obtain the sampled point number classified information of each sampled point sub-district;

Step B13, obtain the coverage of cell-of-origin according to the sampled point number classified information of each sampled point sub-district.

Described in the step B12 classified in each sampled point sub-district, the sampled point number classified information that obtains each sampled point sub-district comprises:

With the institute cell-of-origin of gathering and choosing to the sampled point number between three interference ranges of each sampled point sub-district respectively and the average sample between the corresponding interference range that obtains of step B11 count out and compare, and obtain the sampled point number classified information of each sampled point sub-district according to the situation of comparison;

Wherein, the situation that sampled point number between the interference range of sampled point sub-district is counted out more than or equal to the average sample between corresponding interference range is labeled as greatly, the situation that sampled point number between the interference range of sampled point sub-district is counted out less than the average sample between corresponding interference range is labeled as little, according to the marker combination between three interference ranges of each sampled point sub-district each sampled point sub-district is divided into 8 classes.

Described 8 class sampled point sub-districts comprise:

The 1st class: the weak jamming district is labeled as greatly, and critical interference range is labeled as greatly, and the strong jamming district is labeled as greatly;

The 2nd class: the weak jamming district is labeled as greatly, and critical interference range is labeled as greatly, and the strong jamming district is labeled as little;

The 3rd class: the weak jamming district is labeled as greatly, and critical interference range is labeled as little, and the strong jamming district is labeled as greatly;

The 4th class: the weak jamming district is labeled as greatly, and critical interference range is labeled as little, and the strong jamming district is labeled as little;

The 5th class: the weak jamming district is labeled as little, and critical interference range is labeled as greatly, and the strong jamming district is labeled as greatly;

The 6th class: the weak jamming district is labeled as little, and critical interference range is labeled as greatly, and the strong jamming district is labeled as little;

The 7th class: the weak jamming district is labeled as little, and critical interference range is labeled as little, and the strong jamming district is labeled as greatly;

The 8th class: the weak jamming district is labeled as little, and critical interference range is labeled as little, and the strong jamming district is labeled as little.

The required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin, cell-of-origin to the sampled point number in the weak jamming interval of each sampled point sub-district, cell-of-origin to the sampled point number between the critical interference range of each sampled point sub-district and cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district; The classified information of described each sampled point sub-district comprises the sampled point number classified information of the cell-of-origin of each sampled point sub-district interval classified information of average descending level and each sampled point sub-district;

Described step B comprises:

The number of times that the average descending level value in each cell-of-origin occurs in step B111, the statistics initial data that definite cell-of-origin coverage of gathering and choosing is required, and calculate the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values;

Step B112, be transverse axis with the average descending level value in cell-of-origin, with the probability is the longitudinal axis, and carry out level and smooth line with the probability that the rolling average algorithm occurs in all cell-of-origin average level values the average descending level value in each cell-of-origin and obtain a probability curve, be that waypoint carries out interval division to the average descending level value in cell-of-origin with the trough of described probability curve;

Step B113, each sampled point microzonation is assigned in the average descending level interval, different cell-of-origins, thereby obtained average descending level interval, the cell-of-origin classified information of each sampled point sub-district according to the average descending level in cell-of-origin of institute's each sampled point sub-district correspondence of gathering and choosing;

Step B114, the institute cell-of-origin of gathering and choosing is carried out mean value computation respectively to the sampled point number between three interference ranges of each sampled point sub-district, the average sample that obtains between corresponding interference range is counted out;

Step B115, the magnitude relationship between according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and the average sample between corresponding interference range being counted out are classified to each sampled point sub-district, obtain the sampled point number classified information of each sampled point sub-district;

Step B116: the coverage that obtains the cell-of-origin according to the sampled point number classified information of the cell-of-origin of each sampled point sub-district interval classified information of average descending level and each sampled point sub-district.

The coverage that obtains the cell-of-origin according to the classified information of each sampled point sub-district described in the step B comprises:

The classified information of each sampled point sub-district is joined the coverage area diagram that obtains the cell-of-origin in the system that shows the sub-district distribution map

The system of described demonstration sub-district distribution map is GIS-Geographic Information System GIS.

Described method further comprises:

From the OMC system, gather and choose the initial data of different time sections according to steps A and the described method of step B, obtain the multiple source cell coverage area according to described initial data, and more resulting multiple source cell coverage area, to judge the overlay errors of cell-of-origin.

A kind of device of definite cell coverage area, described device comprises: data acquisition unit, sampled point cell classification unit and sampled point cell classification information process unit, and data acquisition unit and sampled point cell classification information process unit are connected respectively to sampled point cell classification unit; Wherein,

Data acquisition unit is used for gathering and choosing and determine the required initial data of cell-of-origin coverage from OMC operation and maintenance centre OMC system, and described initial data is sent to described sampled point cell classification unit; Wherein, described cell-of-origin is the sub-district of required definite coverage;

The initial data that sampled point cell classification unit is used for sending according to data acquisition unit is classified to each sampled point sub-district, obtain the classified information of each sampled point sub-district, and the classified information of each sampled point sub-district that will obtain sends to sampled point cell classification information process unit; Wherein, described sampled point sub-district is the sub-district at the sampled point place beyond the described cell-of-origin;

The classified information that sampled point cell classification information process unit is used for each sampled point sub-district of sending according to sampled point cell classification unit obtains the coverage of cell-of-origin.

Described sampled point cell classification unit comprises level probability of occurrence computing module, the average descending level interval division module in cell-of-origin and sampled point sub-district by the level sort module, and level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district; Wherein,

Level probability of occurrence computing module is used to receive the required initial data of definite cell-of-origin coverage that data acquisition unit sends, the required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin, add up the number of times that the average descending level value in each cell-of-origin occurs in the described initial data, and calculating the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values, the probability that the average descending level value in each cell-of-origin that calculates is occurred in all cell-of-origin average level values sends to the average descending level interval division module in cell-of-origin;

It is transverse axis that the average descending level interval division module in cell-of-origin is used for the average descending level value in cell-of-origin, with the probability is the longitudinal axis, the probability that the average descending level value in each cell-of-origin that level probability of occurrence computing module is sent with the rolling average algorithm occurs in all cell-of-origin average level values carries out level and smooth line and obtains a probability curve, trough with described probability curve is that waypoint carries out interval division to the average descending level value in cell-of-origin, and the average descending level interval division result in cell-of-origin is sent to the sampled point sub-district by the level sort module;

The sampled point sub-district is used for the cell-of-origin of sending according to the average descending level interval division module in cell-of-origin by the level sort module interval division result assigns to average descending level interval, different cell-of-origins with the average descending level in cell-of-origin of each sampled point sub-district correspondence that institute gathers and chooses with each sampled point microzonation, thereby obtain the classified information of each sampled point sub-district, the classified information of described each sampled point sub-district is the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district, and the cell-of-origin interval classified information of average descending level of the sampled point sub-district that obtains is sent to sampled point cell classification information process unit.

Described sampled point cell classification unit comprises sampling number order mean value computation module and sampled point sub-district by sampled point number sort module, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district; Wherein,

Sampled point number mean value computation module is used to receive the required initial data of definite cell-of-origin coverage that data acquisition unit sends, the required initial data of described definite cell-of-origin coverage comprises: the cell-of-origin is to the sampled point number in the weak jamming interval of each sampled point sub-district, the cell-of-origin is to the sampled point number between the critical interference range of each sampled point sub-district and the cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district, the cell-of-origin that institute gathers and chooses is carried out mean value computation respectively to the sampled point number between three interference ranges of each sampled point sub-district, the average sample that obtains between corresponding interference range is counted out, and being counted out to the average sample between three interference ranges of each sampled point sub-district in the cell-of-origin that obtains sends to the sampled point sub-district by sampled point number sort module;

Magnitude relationship between average sample between the corresponding interference range that the sampled point sub-district is used for according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and sampled point number mean value computation module being sent by sampled point number sort module is counted out is classified to each sampled point sub-district, obtain the classified information of each sampled point sub-district, the classified information of described each sampled point sub-district is the sampled point number classified information of each sampled point sub-district, and the sampled point number classified information of each sampled point sub-district that will obtain sends to sampled point cell classification information process unit.

Described sampled point cell classification unit comprise level probability of occurrence computing module, the average descending level interval division module in cell-of-origin, sampled point sub-district by level sort module, sampled point number mean value computation module and sampled point sub-district by sampled point number sort module, level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district; Wherein,

The sampled point sub-district is used for the cell-of-origin of sending according to the average descending level interval division module in cell-of-origin by the level sort module interval division result assigns to average descending level interval, different cell-of-origins with the average descending level in cell-of-origin of each sampled point sub-district correspondence that institute gathers and chooses with each sampled point microzonation, thereby obtain the classified information of each sampled point sub-district, the classified information of described each sampled point sub-district is the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district, and the cell-of-origin interval classified information of average descending level of the sampled point sub-district that obtains is sent to sampled point cell classification information process unit;

Described sampled point cell classification information process unit is for showing the GIS-Geographic Information System GIS platform of sub-district distribution map.

As seen from the above technical solutions, the present invention is based on the portable terminal measured data, utilize the average descending level of cell-of-origin, the cell-of-origin is to sampled point number between three interference ranges of sampled point sub-district or above the two combination, can determine the coverage of cell-of-origin real-time and accurately, and can judge the coverage deviation of cell-of-origin by the multiple source cell coverage area that relatively obtains according to the initial data of the different time sections of from the OMC system, gathering and choosing, help operator to find the coverage error of cell-of-origin timely and effectively, thereby carry out network operation and optimization work better.

Description of drawings

Fig. 1 is for determining the flow chart of cell coverage area method described in the present invention;

The flow chart of Fig. 2 for according to the average descending level in the cell-of-origin in each sampled point sub-district being classified in the sampled point sub-district among the inventive method embodiment 1;

The probability curve diagram of Fig. 3 for obtaining with the rolling average algorithm among the inventive method embodiment 1;

The cell-of-origin coverage area diagram of Fig. 4 for obtaining among the inventive method embodiment 1;

The method flow diagram of Fig. 5 for according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district being classified to the sampled point sub-district among the inventive method embodiment 2;

The cell-of-origin coverage area diagram of Fig. 6 for obtaining among the inventive method embodiment 2;

Fig. 7 is for classifying to the sampled point sub-district to the sampled point number between three interference ranges of each sampled point sub-district according to the gentle cell-of-origin of average downlink electrical, cell-of-origin among the inventive method embodiment 3 and obtaining the method flow diagram of the coverage of cell-of-origin;

Fig. 8 is the coverage area diagram of the cell-of-origin that obtains among the inventive method embodiment 3;

Fig. 9 is for determining the apparatus structure schematic diagram of cell coverage area described in the present invention;

Figure 10 is the structural representation of first embodiment of the device of definite cell coverage area among the present invention;

Figure 11 is the structural representation of second embodiment of the device of definite cell coverage area among the present invention;

Figure 12 is the structural representation of the 3rd embodiment of the device of definite cell coverage area among the present invention.

Embodiment

For make purpose of the present invention, technical scheme, and advantage clearer, below with reference to the accompanying drawing embodiment that develops simultaneously, the present invention is described in more detail.

Main thought of the present invention is: gather and choose definite required initial data of cell-of-origin coverage from OMC operation and maintenance centre (OMC) system, according to the initial data of being gathered classified in each sampled point sub-district, the classified information of each sampled point sub-district is handled the coverage that obtains the cell-of-origin, and the coverage of the cell-of-origin that can also obtain by different time sections is relatively judged the overlay errors of cell-of-origin.

Fig. 1 is for determining the flow chart of cell coverage area method described in the present invention.As shown in Figure 1, the method for the invention mainly may further comprise the steps:

Steps A, from the OMC system, gather and choose and determine the required initial data of cell-of-origin coverage.

At mobile communications network, such as global system for mobile communications (GSM, Global System forMobile Communications) in the network, because the needs of various mobile communication businesses or the demand of network side (such as, the sub-district gravity treatment), portable terminal in each sub-district (for example, mobile phone) at set intervals (such as, 580 milliseconds) all can be (for example with some measurement data of its current position (being sampled point), Serving cell sign (Serving Sector ID), the descending level of Serving cell, each interfered cell sign (Interfering Sector ID), each interfered cell downlink electrical equality) be uploaded to the network side of this mobile communications network, in an embodiment of the present invention, the portable terminal of uploading measurement data can be called sampled point.Network side, for example base station controller (BSC) can calculate the Serving cell of each sampled point and the carrier/interface ratio between a plurality of interfered cell according to the measurement data that each sampled point is uploaded.Wherein, the carrier/interface ratio of described Serving cell and interfered cell is: the ratio of the descending level of the Serving cell at sampled point place and the descending level of certain interfered cell.The OMC system of the network side a plurality of descending level of (such as 1 hour) certain interfered cell that a plurality of sampled points in the same Serving cell are uploaded at set intervals carries out mean value computation, thereby obtains the average descending level of this interfered cell with respect to this Serving cell; For example, some interfered cell B with Serving cell A and this Serving cell A are example, if in certain time period, there be x sampled point to upload the descending level of this interfered cell B among the Serving cell A, thereby obtain the descending level of x this interfered cell B at network side, then the OMC system will average to above-mentioned x descending level, thereby obtain the average descending level of this interfered cell B with respect to this Serving cell A.

In addition, the OMC system also will be further processed according to the carrier/interface ratio that above-mentioned BSC calculates between each Serving cell and the interfered cell.Still the interfered cell B with above-mentioned Serving cell A and this Serving cell A is that example describes described processing, because x sampled point among the Serving cell A also uploaded the descending level of Serving cell A when uploading the descending level of interfered cell B, therefore can obtain the carrier/interface ratio of x Serving cell A and interfered cell B by the calculating of BSC; Can obtain x carrier/interface ratio inverse after an above-mentioned x carrier/interface ratio got inverse; Then above-mentioned x carrier/interface ratio inverse is divided into (∞ respectively according to the size of numerical value,-12dB], (12dB, 0dB) with [0dB, ∞) in three intervals, and add up the number of the carrier/interface ratio inverse in each interval respectively, because each above-mentioned carrier/interface ratio inverse is all corresponding to a sampled point, so the number of the carrier/interface ratio inverse in each interval also just is equivalent to the sampled point number in each interval.In the OMC system, above-mentioned three intervals are represented with Class1, Class2 and Class3 respectively.

Regulation in the mobile communication system (such as GSM); the co-channel interference protective ratio of sub-district is 9dB; in engineering reality, generally to add 3dB again; be exactly 12dB; that is to say when having only carrier/interface ratio more than or equal to 12dB; the descending level of interfered cell just can not cause the co-channel interference in the Serving cell, and this Serving cell just can carry out normal mobile communication business.And after above-mentioned carrier/interface ratio got inverse, then the carrier/interface ratio inverse be less than or equal to-just can not cause above-mentioned co-channel interference during 12dB, if therefore certain carrier/interface ratio inverse is divided into interval Class1=(∞,-12dB] in, the descending level of then representing this carrier/interface ratio pairing interfered cell reciprocal can not cause the co-channel interference in this carrier/interface ratio pairing Serving cell reciprocal, so interval Class1 can be referred to as the weak jamming interval of this interfered cell to Serving cell; If above-mentioned carrier/interface ratio inverse is more than or equal to 0dB, promptly this carrier/interface ratio inverse is divided into interval Class3=[0dB, ∞), represent that then the descending level of this interfered cell is not less than the descending level of this Serving cell, so interval Class3 can be referred to as the strong jamming interval of this interfered cell to this Serving cell; If above-mentioned carrier/interface ratio inverse is between-12dB and 0dB, promptly this carrier/interface ratio inverse is divided into interval Class2=(12dB, 0dB), represent that then the descending level of this interfered cell is lower than the descending level of this Serving cell, but can cause the co-channel interference of Serving cell, so interval Class2 can be referred to as between the critical interference range of this interfered cell to this Serving cell.

Sampled point number between gentle three interference ranges of the above-mentioned average downlink electrical of described interfered cell that obtains is stored in the described OMC system with the form that for example writes down with corresponding Serving cell sign and interfered cell sign, therefore include in every record among the OMC: the sign of certain interfered cell of certain Serving cell sign, this Serving cell, this interfered cell corresponding to the average descending level of this Serving cell (abbreviate the average descending level of this interfered cell as, down with) and this interfered cell to the sampled point number between three interference ranges of this Serving cell.

Simultaneously, also storing the configuration information of each sub-district in the described zone that this mobile communication system covers in the described OMC system, for example the longitude and latitude of each cell ID, each cell base station and antenna azimuth etc. with for example form of record.

In an embodiment of the present invention,, the sub-district of required definite coverage can be called the cell-of-origin, the sub-district at the sampled point place beyond the cell-of-origin is called the sampled point sub-district for the convenience of narrating.

Therefore, in this step, can from above-mentioned OMC system, gather in a period of time all data of (such as among one day when busy) required analyzed area, and therefrom choose and determine that coverage required initial data in cell-of-origin (abbreviates initial data as, down with), the gentle interfered cell of average downlink electrical of choosing the interfered cell (being the cell-of-origin) in many records that interfered cell is designated the cell-of-origin sign from above-mentioned OMC system in all data that can gather is to the sampled point number between three interference ranges of Serving cell (being the sampled point sub-district); If there are many identical records of Serving cell sign in the above-mentioned selected initial data, then need many identical records of described Serving cell sign are merged, the a plurality of average descending level that is about to the interfered cell (being the cell-of-origin) in many identical records of described Serving cell sign carries out mean value computation and with the average that the obtains average descending level as described interfered cell (being the cell-of-origin), interfered cell in the record that described Serving cell sign is identical to the sampled point number addition in a plurality of weak jammings interval of Serving cell and with the summation that obtains as the sampled point number of described interfered cell to the weak jamming interval of Serving cell, interfered cell in the record that described Serving cell sign is identical to the sampled point number addition between a plurality of critical interference range of Serving cell and with the summation that obtains as described interfered cell to the sampled point number between the critical interference range of Serving cell, with interfered cell in the record that described Serving cell sign is identical to the sampled point number addition in a plurality of strong jammings interval of Serving cell and with the summation that obtains as the sampled point number of described interfered cell to the strong jamming interval of Serving cell, and according to cell-of-origin sign and described a plurality of sampled point cell ID inquiry from described OMC system obtain cell-of-origin and described a plurality of sampled points sub-district configuration information (such as, the longitude and latitude of source cell base station and azimuth, the longitude and latitude of described a plurality of sampled points base station and azimuth etc.)

In an embodiment of the present invention, the required initial data of coverage of described definite cell-of-origin of gathering from the OMC system and choosing can comprise: the cell-of-origin (for example identifies, the title of cell-of-origin), the average descending level in cell-of-origin, the longitude and latitude of source cell base station, the source cell base station antenna azimuth, each sampled point cell ID (for example, the title of each sampled point sub-district), the longitude and latitude of each sampled point base station, each sampled point antenna for base station azimuth, the cell-of-origin is to the sampled point number in the weak jamming interval of each sampled point sub-district, the cell-of-origin is to the sampled point number between the critical interference range of each sampled point sub-district and the cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district.

Because the total quantity of the sampled point in the zone of required analysis is generally all bigger, and the also more realistic applied environment of the distribution of sampled point (for example, the quantity of the sampled point of personnel's close quarters is more, and the negligible amounts of the sampled point in the sparse zone of personnel etc.), simultaneously, the measurement data that each sampled point is uploaded also is real-time measurement data, therefore, the above-mentioned initial data of gathering and choosing from the OMC system can be reacted the signal level distribution situation of each position in the zone of required analysis preferably.

In order to get rid of the decoding error that may exist in above-mentioned the initial data of gathering and choosing, the initial data that can also further gather and choose institute is carried out preliminary treatment, described preliminary treatment can be for going unusual preliminary treatment, for example, remove above-mentioned null value or the mess code data in the initial data of gathering and choosing.

Step B, classified in each sampled point sub-district according to institute's required initial data of definite cell-of-origin coverage of gathering and choosing, obtain the classified information of each sampled point sub-district, and obtain the coverage of cell-of-origin according to the classified information of described each sampled point sub-district.

In this step, can classify to the sampled point sub-district and obtain the classified information of each sampled point sub-district according to the one or more initial data in the required initial data of institute's definite cell-of-origin coverage of gathering and choosing, and obtain the coverage of cell-of-origin according to the classified information of described each sampled point sub-district.

In the present invention, can use multiple classification processing method to be classified in the sampled point sub-district and obtain the classified information of each sampled point sub-district.For example, can classify to the sampled point sub-district, obtain the classified information of each sampled point sub-district according to the average descending level in cell-of-origin; Perhaps, can classify to the sampled point sub-district to the sampled point number between three interference ranges of each sampled point sub-district, obtain the classified information of each sampled point sub-district according to the cell-of-origin.In order better technical scheme of the present invention to be described, introduce above-mentioned various classification processing method respectively below in conjunction with specific embodiment.

Embodiment 1: according to the average descending level in cell-of-origin classified in the sampled point sub-district, obtain the classified information of each sampled point sub-district, and obtain the coverage of cell-of-origin according to the classified information of described each sampled point sub-district.

In the present embodiment, can according to the average descending level in cell-of-origin gathering and choose classified in the sampled point sub-district, for example the average descending level value in cell-of-origin is divided into several level interval, and determine the level interval at each place, sampled point sub-district according to each the average descending level in pairing cell-of-origin, sampled point sub-district that collects, being about to each sampled point microzonation assigns in the inhomogeneous level interval, thereby obtain the classified information (can be referred to as the interval classified information of the average descending level in cell-of-origin) of each sampled point sub-district, can obtain the coverage of cell-of-origin then according to the cell-of-origin of each sampled point sub-district interval classified information of average descending level.

In mobile communication system, such as, in the GSM network, the scope of the average descending level value of interfered cell (being the cell-of-origin) is generally-47dBm～-110dBm; In the present embodiment, can there be several different methods to come the average descending level in cell-of-origin in the initial data of gathering and choosing is classified, be the level interval division, and can as required the average descending level value scope division in above-mentioned cell-of-origin be become isometric or not isometric a plurality of level interval.Easy for what narrate, in following specific embodiment, will be example with the average descending level value interval division method in a kind of concrete cell-of-origin, present embodiment is described in detail.

Referring to Fig. 2, Fig. 2 mainly may further comprise the steps for being classified in the sampled point sub-district according to the average descending level in cell-of-origin among the inventive method embodiment 1 and obtaining the method flow diagram of the coverage of cell-of-origin:

The number of times that the average descending level value in each cell-of-origin occurs in step B1, the statistics initial data that definite cell-of-origin coverage of gathering and choosing is required, and calculate the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values.

Owing in an initial data of gathering and choosing, comprise the average descending level value in multiple source sub-district, so number of times that the average descending level value in certain cell-of-origin occurs in the initial data that statistics is gathered, promptly which average descending level value in pairing cell-of-origin, sampled point sub-district is statistics have equal the average descending level value in this cell-of-origin, similarly, calculate the probability that the average descending level value in certain cell-of-origin occurs in all cell-of-origin average level values, the number of promptly calculating average descending level value corresponding sampling points sub-district, this cell-of-origin accounts for the ratio of all sampled point sub-district numbers.

Can determine the number of times that the average descending level value in each cell-of-origin occurs one by one, and calculate the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values according to above-mentioned method.

Step B2, be transverse axis with the average descending level value in cell-of-origin, with the probability is the longitudinal axis, and carry out level and smooth line with the probability that the rolling average algorithm occurs in all cell-of-origin average level values the average descending level value in each cell-of-origin and obtain a probability curve, be that waypoint carries out interval division to the average descending level value in cell-of-origin with the trough of described probability curve.

The probability curve diagram of Fig. 3 for obtaining with the rolling average algorithm among the inventive method embodiment 1 as shown in Figure 3, can be waypoint with the trough of this probability curve, and above-mentioned probability curve is divided into a plurality of intervals.For example, can be divided into average descending level intervals, 5 cell-of-origins (can abbreviate the level interval as) such as A, B, C, D, E, wherein, the interval A of level is [47dBm,-54dBm), the level interval B be [54dBm ,-70dBm), the interval C of level is [70dBm,-82dBm], the interval D of level be (82dBm ,-98dBm], the interval E of level be (98dBm ,-110dBm].

Trough with probability curve is a waypoint, can make that the probability curve in average descending level interval, each cell-of-origin is approximate is normal distribution, promptly in average descending level interval, each cell-of-origin, the approximate Normal Distribution of probability that the average descending level value in each cell-of-origin occurs, this also meets in each sampled point sub-district, obtains the actual conditions of the average descending level in cell-of-origin.

The waypoint in above-mentioned level interval also can select crest or other values of probability curve, or the number between arbitrarily selected waypoint and dividing regions, does not repeat them here.

Step B3, according to institute gathers and chooses the average descending level in cell-of-origin of each sampled point sub-district correspondence each sampled point microzonation is assigned in the average descending level interval, different cell-of-origins, thereby obtain average descending level interval, the cell-of-origin classified information of each sampled point sub-district.

In this step, can be according to an average descending level in cell-of-origin of each sampled point sub-district correspondence of gathering and choosing, each sampled point microzonation is assigned in the definite average descending level interval, corresponding cell-of-origin of step B1, thereby the cell-of-origin that obtains each sampled point sub-district average descending level interval classified information, i.e. the level interval at each average descending level place, pairing cell-of-origin, sampled point sub-district.For example, if the value of certain average descending level in pairing cell-of-origin, sampled point sub-district be-50dBm, then the average downlink electrical prosposition in this cell-of-origin is in the interval A of level, so the classified information of this sampled point sub-district is A; If the value of certain average descending level in pairing cell-of-origin, sampled point sub-district is-100dBm, then the average downlink electrical prosposition in this cell-of-origin is in the interval E of level, so the classified information of this sampled point sub-district is E; The rest may be inferred, can obtain the classified information of all sampled point sub-districts.

Engineers and technicians can utilize multiple means to come to obtain according to the cell-of-origin of the sampled point sub-district that obtains among the step B3 interval classified information of average descending level the coverage of cell-of-origin, and the cell-of-origin interval classified information of average descending level that obtains the coverage of cell-of-origin or add each sampled point sub-district on the distribution map of sub-district such as the cell-of-origin of using specific each sampled point of the computer programs process interval classified information of average descending level is to obtain the coverage area diagram of cell-of-origin.The coverage area diagram that obtains the cell-of-origin with the cell-of-origin that adds each sampled point sub-district on the distribution map of the sub-district interval classified information of average descending level is that example comes present embodiment is described in detail below.

In the present embodiment, can on can showing the system of sub-district distributed intelligence, GIS-Geographic Information System (GIS) or other utilize the configuration information of the sub-districts such as longitude and latitude, each sampled point antenna for base station azimuth of longitude and latitude, source cell base station antenna azimuth, each sampled point base station of the source cell base station of from the OMC system, gathering to show the sub-district distribution map, about how showing in system that the sub-district distribution map is a prior art, repeats no more here.The cell-of-origin of above-mentioned each sampled point sub-district interval classified information of average descending level is joined in the distribution map of described sub-district, just can obtain the cell-of-origin coverage area diagram,

Referring to Fig. 4, the cell-of-origin coverage area diagram of Fig. 4 for obtaining among the inventive method embodiment 1.Figure 4 shows that example, according to the classified information of each sampled point sub-district as can be known, be among the interval A of the average descending level in cell-of-origin with other two sampled point sub-districts of shared base station 1, cell-of-origin; 2 unique sampled point sub-districts, base station are among the interval A of the average descending level in cell-of-origin; A sampled point sub-district of base station 3 is in the average descending level interval B in cell-of-origin, and two other sampled point sub-district is among the interval C of the average descending level in cell-of-origin; A sampled point sub-district of base station 4 is among the interval D of the average descending level in cell-of-origin, and two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin; A sampled point sub-district of base station 5 is among the interval D of the average descending level in cell-of-origin, and two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin; A sampled point sub-district of base station 6 is among the interval D of the average descending level in cell-of-origin, and two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin; 7 unique sampled point sub-districts, base station are among the interval C of the average descending level in cell-of-origin; 8 unique sampled point sub-districts, base station are among the interval A of the average descending level in cell-of-origin.

As can be seen from Figure 4, the downlink electrical of the cell-of-origin that receives with the unique sampled point sub-district in unique sampled point sub-district, the base station 7 of base station 1 apart from each other of cell-of-origin and base station 8 clear showed unusual, cause occurring the configuration parameter that above-mentioned unusual reason may be relevant base station, deviation has appearred such as antenna azimuth or longitude and latitude, also may be actual environment factors such as weather, such as strong wind, cause antenna height, the azimuth or the angle of pitch etc. change, engineers and technicians just can check the setting of relevant base station and sub-district according to situation about showing in the coverage area diagram of above-mentioned cell-of-origin like this.

In addition, can also from the OMC system, gather and choose the initial data of different time sections according to above-mentioned method, obtain the multiple source cell coverage area according to described initial data, and more resulting multiple source cell coverage area, to judge the overlay errors of cell-of-origin.If by the average descending level interval, cell-of-origin of relatively finding certain place, sampled point sub-district variation has taken place, then engineers and technicians just can check the cell-of-origin or the setting of the sampled point sub-district that changes, help operator to find the coverage error of cell-of-origin timely and effectively, thereby carry out network operation and optimization work better.

Embodiment 2: according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district is classified to the sampled point sub-district, obtain the classified information of each sampled point sub-district, obtain the coverage of cell-of-origin according to the classified information of each sampled point sub-district.

In the present embodiment, can carry out the average sample that mean value computation obtains between corresponding interference range respectively to the sampled point number between three interference ranges of each sampled point sub-district to the cell-of-origin in institute's initial data of gathering and choosing counts out, magnitude relationship between according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and the average sample between corresponding interference range being counted out is classified to each sampled point sub-district, obtains the classified information (can be referred to as sampled point number classified information) of each sampled point sub-district; And then obtain the coverage of cell-of-origin according to the sampled point number classified information of each sampled point sub-district.

Referring to Fig. 5, Fig. 5 is for classifying to the sampled point sub-district to the sampled point number between three interference ranges of each sampled point sub-district according to the cell-of-origin among the inventive method embodiment 2 and obtaining the method flow diagram of the coverage of cell-of-origin, and this method specifically may further comprise the steps:

Step B11, the institute cell-of-origin of gathering and choosing is carried out mean value computation respectively to the sampled point number between three interference ranges of each sampled point sub-district, the average sample that obtains between corresponding interference range is counted out.

In this step, can use multiple mean value computation method commonly used to carry out above-mentioned mean value computation, for example, can with between the interference range of cell-of-origin that collects to all sampled point sub-districts (such as, the weak jamming interval) after all the sampled point numbers in adds up, again divided by the number of sampled point sub-district, thereby the average sample that obtains between this interference range is counted out.

Can be according to above-mentioned method, the average sample between definite one by one each interference range is counted out.The Class1 interval (promptly, the weak jamming interval) average sample is counted out and is represented with Avg1, and the average sample of Class2 interval (that is, between critical interference range) is counted out and represented with Avg2, the average sample in Class3 interval (that is strong jamming interval) is counted out and is represented with Avg3.

Step B12, the magnitude relationship between according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and the average sample between corresponding interference range being counted out are classified to each sampled point sub-district, obtain the sampled point number classified information of each sampled point sub-district.

In this step, can with the sampled point number in (strong jamming district, critical interference range and weak jamming district) between three interference ranges of cell-of-origin that collect to each sampled point sub-district respectively and the average sample between corresponding interference range count out and compare, and obtain the sampled point number classified information of each sampled point sub-district according to situation relatively.Wherein, the situation that sampled point number between the interference range of sampled point sub-district is counted out more than or equal to the average sample between corresponding interference range can be labeled as greatly, and the situation that the sampled point number between the interference range of sampled point sub-district is counted out less than the average sample between corresponding interference range can be labeled as little.According to the marker combination between three interference ranges of each sampled point sub-district each sampled point sub-district is divided into 8 classes, specifically as shown in table 1,

Classified information	The weak jamming district	Critical interference range	The strong jamming district	Disturb rank
					The 1st class	Greatly	Greatly	Greatly	Strong jamming
The 2nd class	Greatly	Greatly	Little	Critical interference
					The 3rd class	Greatly	Little	Greatly	Strong jamming
The 4th class	Greatly	Little	Little	Weak jamming
					The 5th class	Little	Greatly	Greatly	Strong jamming
The 6th class	Little	Greatly	Little	Critical interference
					The 7th class	Little	Little	Greatly	Strong jamming
The 8th class	Little	Little	Little	Weak jamming

Table 1

As can be seen from Table 1, if the sampled point number between three interference ranges of certain sampled point sub-district is all counted out greater than the average sample between corresponding interference range, then the classified information of this sampled point sub-district is 1, and promptly this sampled point sub-district belongs to the 1st listed in the table 1 class situation; If the sampled point number in the weak jamming district of certain sampled point sub-district and the critical interference range is counted out greater than the average sample of weak jamming district and critical interference range respectively, but the sampled point number in the strong jamming district of this sampled point sub-district is counted out less than the average sample in strong jamming interval, then the classified information of this sampled point sub-district is 2, and promptly this sampled point sub-district belongs to the 2nd listed in the table 1 class situation; The rest may be inferred, can obtain the classified information of all sampled point sub-districts.

Wherein, strong jamming district in the table 1 is labeled as big situation and represents that the cell-of-origin counts out to the average sample that the sampled point number in the strong jamming district of such sampled point sub-district is greater than the strong jamming district, be that strong jamming is caused to such sampled point sub-district in the cell-of-origin, i.e. the 1st, 3,5,7 class sampled point sub-districts; Critical interference range is labeled as big situation and represents that the cell-of-origin counts out to the average sample that the sampled point number of the critical interference range of such sampled point sub-district is greater than critical interference range, be that critical interference is caused to such sampled point sub-district in the cell-of-origin, i.e. the 2nd, 6 class sampled point sub-districts; All the other classes represent that then the cell-of-origin causes weak jamming to such sampled point sub-district, do not influence the proper communication of such sampled point sub-district, i.e. the 4th, 8 class sampled point sub-districts.

Engineers and technicians can utilize multiple means to come to obtain according to the sampled point number classified information of each sampled point sub-district that obtains among the step B12 coverage of cell-of-origin, such as the sampled point number classified information with each sampled point sub-district of specific computer programs process obtain the coverage of cell-of-origin or on the distribution map of sub-district the sampled point number classified information of each sampled point sub-district of adding to obtain the coverage area diagram of cell-of-origin.The coverage area diagram that obtains the cell-of-origin with the sampled point number classified information that adds each sampled point sub-district on the distribution map of sub-district is that example comes present embodiment is described in detail below.

In the present embodiment, can on can showing the system of sub-district distributed intelligence, GIS-Geographic Information System (GIS) or other utilize the configuration information of the sub-districts such as longitude and latitude, each sampled point antenna for base station azimuth of longitude and latitude, source cell base station antenna azimuth, each sampled point base station of the source cell base station of from the OMC system, gathering to show the sub-district distribution map, about how showing in system that the sub-district distribution map is a prior art, repeats no more here.The sampled point number classified information of above-mentioned each sampled point sub-district is joined in the distribution map of described sub-district, just can obtain the cell-of-origin coverage area diagram.

Referring to Fig. 6, the cell-of-origin coverage area diagram of Fig. 6 for obtaining among the inventive method embodiment 2.Figure 6 shows that example, in Fig. 6, represent that with double asterisk " * * " cell-of-origin causes a strongly disturbing class sampled point sub-district to such sampled point sub-district, and represent the class sampled point sub-district that critical interference is caused to such sampled point sub-district in the cell-of-origin with single asterisk " * ", the cell-of-origin causes a class sampled point sub-district of weak jamming then to need not special mark to such sampled point sub-district.As shown in Figure 6, according to the classified information of each sampled point sub-district as can be known, belong to above-mentioned the 2nd class sampled point sub-district with other two sampled point sub-districts of shared base station 1, cell-of-origin, critical interference is caused to such sampled point sub-district in the cell-of-origin; 2 unique sampled point sub-districts, base station belong to above-mentioned the 1st class sampled point sub-district, and strong jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 3 belongs to above-mentioned the 3rd class sampled point sub-district, strong jamming is caused to such sampled point sub-district in the cell-of-origin, another sampled point sub-district belongs to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, the 3rd sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 4 belongs to above-mentioned the 3rd class sampled point sub-district, and strong jamming is caused to such sampled point sub-district in the cell-of-origin, and two sampled point sub-districts all belong to the 4th class sampled point sub-district in addition, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; Two sampled point sub-districts of base station 5 belong to the 6th class sampled point sub-district, and critical interference is caused to such sampled point sub-district in the cell-of-origin, and another sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 6 belongs to the 3rd class sampled point sub-district, strong jamming is caused to such sampled point sub-district in the cell-of-origin, another sampled point sub-district belongs to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, the 3rd sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; 7 unique sampled point sub-districts, base station belong to the 1st class sampled point sub-district, and strong jamming is caused to such sampled point sub-district in the cell-of-origin; 8 unique sampled point sub-districts, base station belong to the 2nd class sampled point sub-district, and critical interference is caused to such sampled point sub-district in the cell-of-origin.

As can be seen from Figure 6, the cell-of-origin causes strongly disturbing sampled point sub-district to concentrate on

base station

2,3,4, in 6 and 7 the sampled point sub-district, wherein belong to the 1st class sampled point sub-district with a unique sampled point sub-district, the base station 7 of base station 1 apart from each other of cell-of-origin, strong jamming is caused to such sampled point sub-district in the expression cell-of-origin, need pay close attention to, referring to table 1, can find that the cell-of-origin all counts out greater than the average sample between corresponding interference range to the sampled point number between three interference ranges of this sampled point sub-district, this illustrates that the configuration of this sampled point sub-district has occurred unusually, cause occurring the configuration parameter that above-mentioned unusual reason may be relevant base station, deviation has appearred such as antenna azimuth or longitude and latitude, also may be actual environment factors such as weather, such as strong wind, cause antenna height, the azimuth or the angle of pitch etc. change, engineers and technicians just can check the setting of relevant base station and sub-district according to situation about showing in the distribution map of described sub-district like this.

In addition, can also from the OMC system, gather and choose the initial data of different time sections according to above-mentioned method, obtain the multiple source cell coverage area according to described initial data, and more resulting multiple source cell coverage area, to judge the overlay errors of cell-of-origin.If by finding that relatively variation has taken place the classification under certain sampled point sub-district, then engineers and technicians just can check the cell-of-origin or the setting of the sampled point sub-district that changes, help operator to find the coverage error of cell-of-origin timely and effectively, thereby carry out network operation and optimization work better.

Embodiment 3: according to the gentle cell-of-origin of average downlink electrical, cell-of-origin the sampled point number between three interference ranges of each sampled point sub-district is classified to the sampled point sub-district, obtain the classified information of each sampled point sub-district, obtain the coverage of cell-of-origin according to the classified information of each sampled point sub-district.

In the present embodiment, can according to the average descending level in cell-of-origin gathering and choose classified in the sampled point sub-district, for example the average descending level value in cell-of-origin is divided into several level interval, and determine the level interval at each place, sampled point sub-district according to each the average descending level in pairing cell-of-origin, sampled point sub-district that collects, soon each sampled point microzonation is assigned in the inhomogeneous level interval, thereby obtains the classified information (can be referred to as the interval classified information of the average descending level in cell-of-origin) of each sampled point sub-district; And, can carry out the average sample that mean value computation obtains between corresponding interference range respectively to the sampled point number between three interference ranges of each sampled point sub-district to the cell-of-origin in institute's initial data of gathering and choosing counts out, magnitude relationship between according to the cell-of-origin sampled point number between three interference ranges of each sampled point sub-district and the average sample between corresponding interference range being counted out is classified to each sampled point sub-district, obtains the classified information (can be referred to as sampled point number classified information) of each sampled point sub-district; And then obtain the coverage of cell-of-origin according to the sampled point number classified information of the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district and each sampled point sub-district.

Referring to Fig. 7, Fig. 7 is for classifying to the sampled point sub-district to the sampled point number between three interference ranges of each sampled point sub-district according to the gentle cell-of-origin of average downlink electrical, cell-of-origin among the inventive method embodiment 3 and obtaining the method flow diagram of the coverage of cell-of-origin, and this method specifically may further comprise the steps:

In the present embodiment, step B111-B113 is identical with step B1-B3 among the embodiment 1, step B114-B115 is identical with step B11-B12 among the embodiment 2, and concrete steps can just repeat no more here referring to the step B11-B12 among step B1-B3 among the embodiment 1 and the embodiment 2.

Because step B111-B113 handles different data respectively with step B114-B115, so can be earlier obtain the interval classified information of the average descending level in cell-of-origin of each sampled point sub-district and then obtain the sampled point number classified information of each sampled point sub-district with step B114-B115 with step B111-B113, the sampled point number classified information that also can be earlier obtains each sampled point sub-district with step B114-B115 obtains the interval classified information of the average descending level in cell-of-origin of each sampled point sub-district again with step B111-B113, perhaps step B111-B113 and step B114-B115 obtain the cell-of-origin interval classified information of average descending level of each sampled point sub-district and the sampled point number classified information of each sampled point sub-district simultaneously.

Engineers and technicians can utilize multiple means to come to obtain according to the sampled point number classified information of the cell-of-origin of each sampled point residential quarter that obtains in the present embodiment interval classified information of average descending level and each sampled point residential quarter the coverage of cell-of-origin, obtain the coverage of cell-of-origin or add the sampled point number classified information of the cell-of-origin interval classified information of average descending level of each sampled point residential quarter and each sampled point residential quarter to obtain the coverage area diagram of cell-of-origin at the residential quarter distribution map such as the sampled point number classified information with the cell-of-origin of each sampled point residential quarter of the specific computer programs process interval classified information of average descending level and each sampled point residential quarter. The coverage area diagram that obtains the cell-of-origin with the sampled point number classified information of the cell-of-origin that adds each sampled point sub-district on the distribution map of the sub-district interval classified information of average descending level and each sampled point sub-district is that example comes present embodiment is described in detail below.

In the present embodiment, can on can showing the system of sub-district distributed intelligence, GIS-Geographic Information System (GIS) or other utilize the configuration information of the sub-districts such as longitude and latitude, each sampled point antenna for base station azimuth of longitude and latitude, source cell base station antenna azimuth, each sampled point base station of the source cell base station of from the OMC system, gathering to show the sub-district distribution map, about how showing in system that the sub-district distribution map is a prior art, repeats no more here.The sampled point number classified information of the cell-of-origin of above-mentioned each sampled point sub-district interval classified information of average descending level and each sampled point sub-district is joined in the distribution map of described sub-district, just can obtain the cell-of-origin coverage area diagram.

Referring to Fig. 8, Fig. 8 is the coverage area diagram of the cell-of-origin that obtains among the inventive method embodiment 3.

Figure 8 shows that example, according to the classified information of each sampled point sub-district as can be known, be among the interval A of the average descending level in cell-of-origin with other two sampled point sub-districts of shared base station 1, cell-of-origin, and belong to above-mentioned the 2nd class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin; 2 unique sampled point sub-districts, base station are among the interval A of the average descending level in cell-of-origin, and belong to above-mentioned the 1st class sampled point sub-district, and strong jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 3 is in the average descending level interval B in cell-of-origin, and belong to above-mentioned the 3rd class sampled point sub-district, strong jamming is caused to such sampled point sub-district in the cell-of-origin, two other sampled point sub-district is among the interval C of the average descending level in cell-of-origin, one of them sampled point sub-district belongs to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, another sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 4 is among the interval D of the average descending level in cell-of-origin, and belong to above-mentioned the 3rd class sampled point sub-district, strong jamming is caused to such sampled point sub-district in the cell-of-origin, two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin, and all belong to the 4th class sampled point sub-district, weak jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 5 is among the interval D of the average descending level in cell-of-origin, and belong to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin, one of them sampled point sub-district belongs to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, another sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; A sampled point sub-district of base station 6 is among the interval D of the average descending level in cell-of-origin, and belong to the 3rd class sampled point sub-district, strong jamming is caused to such sampled point sub-district in the cell-of-origin, two other sampled point sub-district is among the interval E of the average descending level in cell-of-origin, one of them sampled point sub-district belongs to the 6th class sampled point sub-district, critical interference is caused to such sampled point sub-district in the cell-of-origin, and another sampled point sub-district belongs to the 4th class sampled point sub-district, and weak jamming is caused to such sampled point sub-district in the cell-of-origin; 7 unique sampled point sub-districts, base station are among the interval C of the average descending level in cell-of-origin, and belong to the 1st class sampled point sub-district, and strong jamming is caused to such sampled point sub-district in the cell-of-origin; 8 unique sampled point sub-districts, base station are among the interval A of the average descending level in cell-of-origin, and belong to the 2nd class sampled point sub-district, and critical interference is caused to such sampled point sub-district in the cell-of-origin.

As can be seen from Figure 8, a sampled point sub-district unique with unique sampled point sub-district, the base station 7 of base station 1 apart from each other of cell-of-origin and base station 8 all received the average descending level in higher cell-of-origin and belonged to the sampled point sub-district that strong jamming and critical interference are caused in the cell-of-origin respectively, need terminal to pay close attention to, illustrate that the configuration of described two sampled point sub-districts has occurred unusually.Cause occurring the configuration parameter that above-mentioned unusual reason may be relevant base station, deviation has appearred such as antenna azimuth or longitude and latitude, also may be actual environment factors such as weather, such as strong wind, cause antenna height, azimuth or the angle of pitch etc. to change, engineers and technicians just can check the setting of relevant base station and sub-district according to situation about showing in the distribution map of described sub-district like this.

In addition, can also from the OMC system, gather and choose the initial data of different time sections according to above-mentioned method, obtain the multiple source cell coverage area according to described initial data, and more resulting multiple source cell coverage area, to judge the overlay errors of cell-of-origin.If by the average descending level in the cell-of-origin of relatively finding certain place, sampled point sub-district classification interval or this sampled point sub-district variation has taken place, then engineers and technicians just can check the cell-of-origin or the setting of the sampled point sub-district that changes, help operator to find the coverage error of cell-of-origin timely and effectively, thereby carry out network operation and optimization work better.

The present invention also provides a kind of device of definite cell coverage area, and as shown in Figure 9, Fig. 9 is for determining the apparatus structure schematic diagram of cell coverage area described in the present invention.The device of described definite cell coverage area comprises: data acquisition unit, sampled point cell classification unit and sampled point cell classification information process unit, data acquisition unit and sampled point cell classification information process unit are connected respectively to sampled point cell classification unit.

Wherein, data acquisition unit is used for gathering and choosing and determine the required initial data of cell-of-origin coverage from the OMC system, and described initial data is sent to described sampled point cell classification unit;

The initial data that sampled point cell classification unit is used for sending according to data acquisition unit is classified to each sampled point sub-district, obtain the classified information of each sampled point sub-district, and each sampled point cell classification information that will obtain sends to sampled point cell classification information process unit;

As shown in figure 10, Figure 10 is the structural representation of first embodiment of the device of definite cell coverage area among the present invention.The present invention determines among first embodiment of device of cell coverage area, described sampled point cell classification unit comprises level probability of occurrence computing module, the average descending level interval division module in cell-of-origin and sampled point sub-district by the level sort module, and level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district;

Wherein, level probability of occurrence computing module is used to receive the required initial data of definite cell-of-origin coverage that data acquisition unit sends, the required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin, add up the number of times that the average descending level value in each cell-of-origin occurs in the described initial data, and calculating the probability that the average descending level value in each cell-of-origin occurs in all cell-of-origin average level values, the probability that the average descending level value in each cell-of-origin that calculates is occurred in all cell-of-origin average level values sends to the average descending level interval division module in cell-of-origin;

As shown in figure 11, Figure 11 is the structural representation of second embodiment of the device of definite cell coverage area among the present invention.The present invention determines among second embodiment of device of cell coverage area, described sampled point cell classification unit comprises sampling number order mean value computation module and sampled point sub-district by sampled point number sort module, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district;

Wherein, sampled point number mean value computation module is used to receive the required initial data of definite cell-of-origin coverage that data acquisition unit sends, the required initial data of described definite cell-of-origin coverage comprises: the cell-of-origin is to the sampled point number in the weak jamming interval of each sampled point sub-district, the cell-of-origin is to the sampled point number between the critical interference range of each sampled point sub-district and the cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district, the cell-of-origin that institute gathers and chooses is carried out mean value computation respectively to the sampled point number between three interference ranges of each sampled point sub-district, the average sample that obtains between corresponding interference range is counted out, and being counted out to the average sample between three interference ranges of each sampled point sub-district in the cell-of-origin that obtains sends to the sampled point sub-district by sampled point number sort module;

As shown in figure 12, Figure 12 is the structural representation of the 3rd embodiment of the device of definite cell coverage area among the present invention.The present invention determines among the 3rd embodiment of device of cell coverage area, described sampled point cell classification unit comprises level probability of occurrence computing module, the average descending level interval division module in cell-of-origin, the level sort module is pressed in the sampled point sub-district, sampled point number sort module is pressed in sampled point number mean value computation module and sampled point sub-district, level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district;

In addition, because level probability of occurrence computing module, the average descending level interval division module in cell-of-origin are respectively handled different data with the sampled point sub-district by this two pack module of sampled point number sort module by level sort module and sampled point number mean value computation module with the sampled point sub-district, so the execution sequence of this two pack module can be provided with arbitrarily, can carry out simultaneously, also can successively carry out.

The inventive method is determined the cell-of-origin coverage based on the portable terminal measured data, do not need specific purpose tool to go special measurement, and considered to have influence on the multiple factor of definite cell-of-origin coverage such as the sampled point number comprehensively, gentle cell-of-origin of average downlink electrical, cell-of-origin and sampled point minizone distance etc., make the more realistic applied environment of cell-of-origin coverage that obtains, and can judge the coverage deviation of cell-of-origin by the multiple source cell coverage area that relatively obtains according to the initial data of the different time sections of from the OMC system, gathering and choosing, help operator to find the coverage error of cell-of-origin timely and effectively, thereby carry out network operation and optimization work better.

The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with the people of this technology in the disclosed technical scope of the present invention; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.

Claims

1. the method for a definite cell coverage area is characterized in that, described method comprises:

2. method according to claim 1 is characterized in that, the required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin; The classified information of described each sampled point sub-district is the interval classified information of the average descending level in the cell-of-origin of each sampled point sub-district; Described step B comprises:

3. method according to claim 1, it is characterized in that the required initial data of described definite cell-of-origin coverage comprises: the cell-of-origin to the sampled point number in the weak jamming interval of each sampled point sub-district, cell-of-origin to the sampled point number between the critical interference range of each sampled point sub-district and cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district; The classified information of described each sampled point sub-district is the sampled point number classified information of each sampled point sub-district;

Described step B comprises:

4. method according to claim 3 is characterized in that, described in the step B12 is classified in each sampled point sub-district, and the sampled point number classified information that obtains each sampled point sub-district comprises:

5. method according to claim 4 is characterized in that, described 8 class sampled point sub-districts comprise:

6. method according to claim 1, it is characterized in that the required initial data of described definite cell-of-origin coverage comprises: the average descending level in cell-of-origin, cell-of-origin to the sampled point number in the weak jamming interval of each sampled point sub-district, cell-of-origin to the sampled point number between the critical interference range of each sampled point sub-district and cell-of-origin sampled point number to the strong jamming interval of each sampled point sub-district; The classified information of described each sampled point sub-district comprises the sampled point number classified information of the cell-of-origin of each sampled point sub-district interval classified information of average descending level and each sampled point sub-district;

Described step B comprises:

7. according to each described method among the claim 1-6, it is characterized in that the coverage that obtains the cell-of-origin according to the classified information of each sampled point sub-district described in the step B comprises:

The classified information of each sampled point sub-district is joined the coverage area diagram that obtains the cell-of-origin in the system that shows the sub-district distribution map.

8. method according to claim 7 is characterized in that, the system of described demonstration sub-district distribution map is GIS-Geographic Information System GIS.

9. method according to claim 1 is characterized in that, described method further comprises:

10. the device of a definite cell coverage area, it is characterized in that, described device comprises: data acquisition unit, sampled point cell classification unit and sampled point cell classification information process unit, and data acquisition unit and sampled point cell classification information process unit are connected respectively to sampled point cell classification unit; Wherein,

11. device according to claim 10, it is characterized in that, described sampled point cell classification unit comprises level probability of occurrence computing module, the average descending level interval division module in cell-of-origin and sampled point sub-district by the level sort module, and level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district; Wherein,

12. device according to claim 10, it is characterized in that, described sampled point cell classification unit comprises sampling number order mean value computation module and sampled point sub-district by sampled point number sort module, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district; Wherein,

13. device according to claim 10, it is characterized in that, described sampled point cell classification unit comprises level probability of occurrence computing module, the average descending level interval division module in cell-of-origin, the level sort module is pressed in the sampled point sub-district, sampled point number sort module is pressed in sampled point number mean value computation module and sampled point sub-district, level probability of occurrence computing module is connected with the average descending level interval division module in cell-of-origin respectively by the level sort module with the sampled point sub-district, and sampled point number mean value computation module is connected by sampled point number sort module with the sampled point sub-district; Wherein,

14., it is characterized in that described sampled point cell classification information process unit is for showing the GIS-Geographic Information System GIS platform of sub-district distribution map according to each described device among the claim 10-13.