WO2013189089A1 - 一种室内外业务数据的区分方法及设备 - Google Patents

一种室内外业务数据的区分方法及设备 Download PDF

Info

Publication number
WO2013189089A1
WO2013189089A1 PCT/CN2012/077484 CN2012077484W WO2013189089A1 WO 2013189089 A1 WO2013189089 A1 WO 2013189089A1 CN 2012077484 W CN2012077484 W CN 2012077484W WO 2013189089 A1 WO2013189089 A1 WO 2013189089A1
Authority
WO
WIPO (PCT)
Prior art keywords
network
received signal
value
service data
grids
Prior art date
Application number
PCT/CN2012/077484
Other languages
English (en)
French (fr)
Inventor
陈新
孙旭生
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2013189089A1 publication Critical patent/WO2013189089A1/zh

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements

Definitions

  • the invention relates to a method and device for distinguishing indoor and outdoor business data.
  • the application is submitted to the Chinese Patent Office on June 18, 2012, and the application number is 2 01 2 1 02 01 752. 5.
  • the invention name is "one indoor and outdoor.
  • the priority of the method and apparatus for distinguishing the business data is the priority of the Chinese patent application, the entire contents of which are incorporated herein by reference.
  • the present invention relates to the field of communications, and in particular, to a method and device for distinguishing indoor and outdoor service data.
  • the prior art can locate the position of the MR when the mobile user talks through the measurement report (MR) data, and obtain the dense distribution of the traffic according to the location distribution of the MR data.
  • the geographic location can be It identifies which areas of the network are hotspots and which areas are non-hotspots, and then optimizes the network according to hotspots and non-hotspots.
  • the prior art cannot effectively separate indoor MR data from outdoor MR data, and thus cannot effectively distinguish indoor hotspots from outdoor hotspots, and cannot select corresponding expansion technologies according to indoor hotspots and outdoor hotspots.
  • Embodiments of the present invention provide a method and a device for distinguishing indoor and outdoor service data, and determining a threshold of indoor and outdoor service data by using a statistical method according to differences between indoor service data and outdoor service data reception signals, and capable of indoor data and Outdoor data is effectively separated, providing a basis for the separation of indoor hotspots and outdoor hotspots.
  • the technical solution adopted by the embodiment of the present invention is
  • the embodiment of the present invention provides a method for distinguishing between indoor and outdoor service data, including: acquiring service data of a network serving cell, each of the service data including a received signal measurement value and positioning information; according to each of the service data Positioning information corresponding to each of the service data to a network grid; determining, according to the received signal measurement value in each of the network grids and the corresponding theoretical value of the received signal of each of the network grids a received signal threshold value of the network grid, wherein a theoretical value of the received signal of the network grid is a received signal value in the network grid acquired according to a propagation model; according to each of the network grids
  • the received signal threshold value and the corresponding received signal measurement value in each of the network grids distinguish the indoor service data and the outdoor service data of each of the network grids.
  • an embodiment of the present invention provides a device for distinguishing indoor and outdoor service data, including:
  • An obtaining unit configured to acquire all service data of the network serving cell, where each of the service data includes a received signal code domain power receiving signal measurement value and positioning information;
  • Corresponding unit configured to map each of the service data to a network grid according to positioning information of each of the service data
  • a threshold value determining unit configured to determine a received signal of each of the network grids according to a received signal measurement value corresponding to each of the network grids and a corresponding received signal theoretical value of each of the network grids a threshold value, wherein a theoretical value of the received signal of the network grid is a received signal value in the network grid acquired according to a propagation model;
  • a distinguishing unit configured to distinguish indoor service data and outdoor of each of the network grids according to a received signal threshold value of each of the network grids and a received signal measurement value corresponding to each of the network grids Business data.
  • the indoor and outdoor service data distinguishing method and device provided by the embodiment of the present invention determine the threshold of the indoor and outdoor service data by using the statistical method according to the difference between the indoor service data and the outdoor service data receiving signal, and then the indoor MR data and the outdoor MR data. Effectively separated, The separation of indoor hotspots and outdoor hotspots is realized, and the corresponding expansion technology is selected according to indoor hotspots and outdoor hotspots.
  • FIG. 1 is a flowchart of a method for distinguishing indoor and outdoor service data according to an embodiment of the present invention
  • FIG. 2 is a flow chart of another method for distinguishing indoor and outdoor service data according to an embodiment of the present invention.
  • Figure 3 is a network raster diagram
  • FIG. 4 is a network diagram of a network after the service data is allocated;
  • FIG. 5 is a structural diagram of a device for distinguishing between indoor and outdoor service data according to an embodiment of the present invention.
  • FIG. 6 is a structural diagram of an apparatus for distinguishing devices for indoor and outdoor service data according to an embodiment of the present invention.
  • An embodiment of the present invention provides a method for determining a threshold of indoor and outdoor service data, as shown in FIG. 1 , including
  • S101 Obtain service data of a network serving cell, where each of the service data includes a received signal measurement value and positioning information;
  • S102 Correspond to each of the service data according to the positioning information of the service data a network grid;
  • S103 determining a received signal threshold value of each of the network grids according to a received signal measurement value corresponding to each of the network grids and a corresponding received signal theoretical value of each of the network grids, where The theoretical value of the received signal of the network grid is a received signal value in the network grid obtained according to a propagation model;
  • S104 Differentiate indoor service data and outdoor service data of each of the network grids according to a received signal threshold value of each of the network grids and a received signal measurement value corresponding to each of the network grids. .
  • the method for distinguishing indoor and outdoor service data provided by the embodiment of the present invention determines the threshold of indoor and outdoor service data by using a statistical method according to the difference between the indoor service data and the outdoor service data receiving signal, thereby effectively separating the indoor MR data from the outdoor MR data. Come out, realize the separation of indoor hotspots and outdoor hotspots, and then select the corresponding expansion technology according to indoor hotspots and outdoor hotspots.
  • Another embodiment of the present invention details a method for distinguishing indoor and outdoor service data, as shown in FIG. 2, including:
  • each of the service data includes a received signal measurement value and positioning information.
  • all the service data of the network serving cell may be obtained by the computing server, and according to actual needs, The indoor service segment and the outdoor service segment of all user equipments in the network serving cell are counted by acquiring all the service data in the network serving cell; or the specific service data of a specific user equipment in the network serving cell is obtained. The indoor service segment and the outdoor service segment of one user equipment are counted; and the indoor service segment and the outdoor service segment of the user equipment of the specific group are obtained by acquiring the service data of the user equipment of a specific group in the network service cell.
  • the Ministry conducts statistics.
  • the network serving cell in the embodiment of the present invention may point to all the serving cells in a regional network, where the area may be large or small, and may be determined according to the needs of network optimization, for example, all the months in the Shenzhen network may be Business district, it can also be within a regional network of Shenzhen All service communities.
  • This embodiment takes the network optimization of Shenzhen as an example for explanation, and the principles of other regions are the same.
  • an update period may be set, and all data of the network service area in each update period is separately processed, so that dynamic indoor and outdoor service data thresholds can be obtained.
  • the length of the update cycle can be set as needed, for example, one day, one week, and the like.
  • All the service data described in this embodiment refers to the service data in an update period within the scope of the Shenzhen network.
  • each service data includes a received signal measurement value and a positioning information, where the received signal measurement value indicates a size of a signal sent by the base station actually received by the terminal, and may be represented by different parameters in different application fields. For example, Universal Mobile Telecommunications System
  • the received signal measurement value can be Received Signal Code Power (RSCP).
  • RSCP Received Signal Code Power
  • LTE Long Term Evolution
  • RSRP Reference Signal Receiving Power
  • GSM Global System For Mobile Communications
  • RXLEV Received Signal Level
  • the positioning information may include Global Positioning System (GPS) positioning information.
  • GPS Global Positioning System
  • the basic principle of GPS positioning is based on the instantaneous position of the satellite moving at high speed as the known starting data, and the method of spatial distance resection is used to determine the point to be measured. s position.
  • the method of the GPS positioning is various, and different positioning methods can be adopted according to different uses, which is not limited in this embodiment.
  • TO A Time of Arrival
  • TDOA Time Difference of Arrival
  • RTT Round Trip Time
  • TOA represents the signal propagation duration (RTT/2) between the terminal and the cell, and the speed of the radio wave propagating in the air is the speed of light c, so the distance between the cell and the terminal is c* (RTT/2) ).
  • RTT/2 the signal propagation duration
  • c* the distance between the cell and the terminal
  • TDOA is an improved algorithm for TOA.
  • TDOA still uses the method of estimating the distance according to time.
  • TDOA indicates the propagation time difference between the terminal and the two cells, and the product of the speed of light c and the propagation time difference between the terminal and the two cells is The difference between the distance between the terminal and the two cells can be obtained.
  • three hyperbolas can be obtained by using three cells. The intersection of the three hyperbolas is the positioning position (only two hyperbolic curves can be considered). ).
  • the computing server may receive the MR data collected by the data collecting device from the network, and then acquire the service data according to the MR data.
  • MR data is an important means for the network side to obtain wireless information of the terminal. It mainly consists of two parts: uplink signal information and downlink signal information.
  • the downlink signal information is collected by the network terminal, and is sent to the data collection unit through the air interface measurement report (Measure Report); the uplink signal information is transmitted by the base station transceiver station (Base Transceiver Station, BTS for short) The measurement is collected and reported to the data acquisition unit.
  • BTS Base Transceiver Station
  • the MR data can include RSCP measurements, GPS information. Because the MR data collected by the data collection unit comes from different parts of the network, the computing server can sort the MR data of the same terminal and the same service to obtain the service data. Business data can be stored in a table or other form, either in a computing server or in another storage unit for use by a computing server.
  • the computing server may preset a network raster image and store the network raster image data.
  • the network grid map divides the area in the Shenzhen network into a plurality of network grids of the same size according to a certain proportion.
  • the network raster map data may include longitude and latitude of each grid, a grid number, a cell identification number, a neighboring area identification number, and a received signal theoretical value of each grid, where the received signal theoretical value represents
  • the size of the signal in the network grid obtained according to the propagation model may be represented by different parameters in different application fields, but needs to be consistent with the parameter represented by the received signal measurement value in the service data, for example,
  • the measured value of the received signal in the service data is RSCP
  • the theoretical value of the received signal is the theoretical value of RSCP.
  • the measured value of the received signal is RSRP
  • the theoretical value of the received signal is the theoretical value of RSRP.
  • the measured value of the received signal is RXLEV, the received signal is received.
  • the theoretical value is the theoretical value of RSCP. Because the received signal measurement value in the embodiment is described by taking the RSCP in the UMTS technology as an example, in the present embodiment, the theoretical value of the received signal is the RSCP theoretical value. However, the technical field in which the present embodiment is not applied to the present invention is The specific parameters represented by the theoretical values of the received signals are limited.
  • the RSCP theoretical value of the network grid is an RSCP value in the network grid obtained according to a propagation model.
  • Each network grid belongs to one primary serving cell and also has neighboring cells.
  • the RSCP transmission value of each primary serving cell can be recorded in advance.
  • the service data may be mapped to a network grid.
  • the exemplary method may include: determining, according to the location information of each service data, the calculation of the corresponding service data. Position coordinates; matching the calculated position coordinates of each of the service data with the position coordinates in the network raster map including the plurality of network grids, and determining a network grid corresponding to each of the service data.
  • the computing server locates each service data according to the positioning and fixing interest in each business data.
  • GPS positioning uses at least four satellite signals to determine the position of the terminal. At present, GPS has been able to achieve positioning accuracy within ten meters. However, because GPS positioning relies on the acquisition and reception of satellite signals, in indoor environments, it is difficult to receive signals from the positioning satellites, resulting in GPS positioning not working properly. Therefore, if the service data contains GPS positioning information, The GPS is used to locate the service data. If there is no GPS positioning information in the service data, the service data is located by using the TOA or TDOA method according to the RTT information, and the coordinates of each service data are obtained. Preferably, the coordinates of the service data can be used. Expressed by latitude and longitude.
  • the computing server matches the coordinates of each service data with the coordinates in the network raster map to determine a network grid corresponding to each of the service data. For example, if the location in the network raster map that matches the latitude and longitude of the service data 11 is in the first network grid, the service data 11 is mapped to the first network grid. Participate in Figure 4, you can put each business data Map as a point to the corresponding location in the network raster.
  • each network grid may be represented by a set, and the service data included in one update period in each network grid is used as an element of each corresponding set, for example, the first network grid is within an update period.
  • the service data can be expressed as ⁇ business data 11, business data 12, business data 13, business data 14, ..., ⁇ , and the service data in an update cycle of the second network grid can be expressed as ⁇ business data 21 , business data 22, business data 23, business data 24, ... ⁇ , other network grid representation methods are the same.
  • the business data contained in one update cycle in each network grid can also be counted and represented by a list.
  • S203 Obtain a theoretical value of the received signal in each of the network grids according to a propagation model of the radio wave; exemplarily, the theoretical value of the received signal in this embodiment is an RSCP theoretical value.
  • the RSCP theoretical value of the network grid is an RSCP value in the network grid obtained according to a propagation model.
  • Each network grid belongs to one primary serving cell, and the RSCP transmission value of each primary serving cell can be recorded in advance.
  • the computing server may preset a propagation model of the network serving cell.
  • the wireless communication environments of different provinces and cities vary widely.
  • a city in a hilly area has a communication environment compared with a city in a plain area.
  • the difference between the two is different, so there will be big differences in the propagation models of the two. Therefore, preferably, the propagation model of the network serving cell can be determined by the influence of parameters such as terrain, landform, buildings, vegetation, and the like.
  • the RSCP theoretical value in each network grid of the network serving cell can be obtained.
  • the network grid attribution can be determined according to the network grid number.
  • the primary serving cell in turn, can obtain the RSCP of the primary serving cell.
  • the RSCP theoretical value of the grid can be calculated according to the propagation model.
  • the RSCP theoretical value of each network grid can be calculated and stored in advance, or can be calculated in real time.
  • the propagation principle of wireless signals the loss of signals in the air and the damage through the building The consumption gap is relatively large, so the RSCP values of the signals received indoors and outdoors are different for the same radio transmission location and the same reception location. Therefore, the difference between the RSCP theoretical value in a network grid and the penetration loss system of a building in the area can be used as a basis for determining indoor business data and outdoor business data thresholds.
  • S204 Select, in each of the network grids, a received signal measurement value that is less than a theoretical value of a received signal of the corresponding network grid.
  • each of the network grids is selected in each update period according to the set update period. All RSCP measurements that are less than the RSCP theoretical value are inherently corresponding to the update period.
  • the service data of the first network grid is represented in the update cycle as ⁇ service data 11, service data 12, service data 13, service data 14, ... ⁇ , according to which, RSCP measurement value in a service data of a network grid in an update period, ⁇ RSCP 11 , RSCP 12 , RSCP 13 , RSCP 14 , ... ⁇ , respectively, the RSCP measurement values in the set are in the first network grid
  • the comparison of RSCP theoretical values yields all RSCP measurements that are smaller than the RSCP theoretical value in the first network grid.
  • all RSCPs in other network grids that are smaller than the RSCP theoretical value in the corresponding network grid can be obtained. Measurements.
  • S205 Calculate, in each of the network grids, an average value of received signal measurement values that are smaller than a theoretical value of a received signal of the corresponding network grid, and subtract a preset correction value to obtain a corresponding reception of each of the network grids.
  • the average value in each update period in each network grid is respectively subtracted from the preset correction value to obtain each corresponding network grid.
  • the RSCP threshold during the update period.
  • the first network is obtained by subtracting the preset correction value from the average value of all RSCP measurement values smaller than the RSCP theoretical value in the first network grid in a calculated update period.
  • the RSCP threshold of the grid during this update period.
  • the preset correction value may be a building penetration loss value in the Shenzhen area, preferably, because the threshold value is obtained by subtracting the correction value from the average value of all RSCP measurement values smaller than the theoretical value of RSCP, therefore,
  • the threshold value can be smaller than the building penetration loss value in Shenzhen.
  • S204-S205 is a situation in which the threshold value of the received signal of the network grid is determined according to the RSCP measurement value corresponding to a network grid and the RSCP theoretical value of the network grid.
  • the RSCP measurement value in a network grid is not smaller than the RSCP theoretical value of the network grid, in this case, according to the RSCP measurement value in the network grid and the network grid.
  • the method of determining the received signal threshold of the network grid does not need to be calculated by the RSCP measurement value, and only needs to correspond to the RSCP measurement value in the network grid and the received signal of the network grid.
  • S206 Differentiate indoor service data and outdoor service data of each of the network grids according to a received signal threshold value of each of the network grids and a received signal measurement value corresponding to each of the network grids.
  • each service can be determined by comparing the RSCP measurement value of each service data with the RSCP threshold value in the corresponding network grid. Whether the data belongs to indoor business data or outdoor business data.
  • the service data of each grid network whose RSCP measurement value is greater than the RSCP threshold value of the corresponding network grid is counted as outdoor service data in each update period, and is counted in each grid network.
  • the RSCP measured value is smaller than the service data of the RSCP threshold of the corresponding network grid as the indoor service data.
  • S207 Generate an indoor service distribution map and an outdoor service distribution map of the network serving cell according to the indoor service data and the outdoor service data of each of the network grids.
  • the outdoor service distribution map and the indoor service distribution map in the specific period are respectively drawn according to the outdoor service data and the indoor service data in the specific period of the update.
  • the trend of service distribution and the trend of indoor business distribution can be analyzed separately.
  • the method for distinguishing indoor and outdoor service data provided by the embodiment of the present invention determines the threshold of indoor and outdoor service data by using a statistical method according to the difference between the indoor service data and the outdoor service data receiving signal, thereby effectively separating the indoor MR data from the outdoor MR data. Come out, realize the separation of indoor hotspots and outdoor hotspots, and then select the corresponding expansion technology according to indoor hotspots and outdoor hotspots.
  • the embodiment of the present invention provides another method for distinguishing indoor and outdoor service data, and the main process thereof is the same as the above embodiment, except that steps S204 and S205 are different, and only different parts are described below.
  • each update period select, in each update period, all RSCP measurement values in the corresponding update period that are greater than the RSCP theoretical value, and calculate each network grid separately. The average value within each update period.
  • the service data of the second network grid is represented in the update cycle as ⁇ service data 21, service data 22, service data 23, service data 24, ... ⁇ , according to which,
  • the theoretical value comparison yields all RSCP measurements that are larger than the RSCP theoretical value in the second network grid, and then calculates an average of all RSCP measurements that are larger than the RSCP theoretical value in the second network grid.
  • the average of all RSCP measurements in the other network grids that are larger than the theoretical RSCP values in the corresponding network grid can be obtained.
  • the average value in each of the network grids is respectively subtracted from the preset correction value to obtain an RSCP threshold value of each corresponding network grid.
  • the preset correction value may be a building penetration loss value in the Shenzhen area. It should be noted that, in the embodiment, S204-S205 also determines the network according to the RSCP measurement value in a network grid and the RSCP theoretical value of the network grid.
  • the received signal threshold of the grid there is also a case where when the RSCP measurement value in a network grid is not larger than the RSCP theoretical value of the network grid, in this case
  • the method for determining the threshold of the received signal of the network grid according to the RSCP measurement value corresponding to the network grid and the RSCP theoretical value of the network grid does not need to be calculated by the RSCP measurement value, and only needs to calculate the network grid.
  • the RSCP measurements corresponding to the grid are all compared with the theoretical values of the received signals of the network grid.
  • the RSCP theoretical value of the network grid is directly The preset correction value is subtracted to obtain the received signal threshold of the network grid. For example, if the RSCP measurement value corresponding to the third network grid is not greater than the RSCP theoretical value in the third network grid, the RSCP theoretical value in the third network grid is subtracted from the preset value. The correction value yields the RSCP threshold of the third network grid.
  • a relatively accurate indoor and outdoor RSCP threshold value is obtained by using a statistical method, thereby distinguishing between indoor service data and outdoor service data, and the object of the present invention can be achieved by using the above two methods, but the accuracy is different. .
  • the method for distinguishing indoor and outdoor service data determines the threshold of indoor and outdoor service data by using a statistical method according to the difference between the indoor service data and the outdoor service data receiving signal, thereby effectively separating the indoor MR data from the outdoor MR data.
  • a statistical method according to the difference between the indoor service data and the outdoor service data receiving signal.
  • the embodiment of the present invention provides a device for distinguishing between indoor and outdoor service data, and the device may be configured on the computing server 50, and is applied to the method shown in FIG. 1.
  • the computing server 50 includes: an acquiring unit 501, corresponding to Unit 502, threshold value determining unit 503, and distinguishing unit 504.
  • the obtaining unit 501 is configured to acquire all the service data of the network serving cell, where each of the service data includes the received signal measurement value and the positioning information. For example, the obtaining unit 501 obtains the network serving cell service data, according to actual needs.
  • the obtaining unit 501 may obtain all the service data in the network serving cell to enable the computing server 50 to perform statistics on the indoor service segment and the outdoor service segment of all the user equipments in the network serving cell; the obtaining unit 501 may also acquire the network serving cell. Service data of a specific user equipment within a specific one to make the computing server 50 to a specific one of the user equipment rooms The internal service segment and the outdoor service segment perform statistics; the obtaining unit 501 may also obtain service data of a specific group of user equipments in the network serving cell to enable the computing server 50 to perform indoor service divisions and outdoor of the user equipment of the specific group. The business division performs statistics. In this embodiment, only the obtaining unit 501 obtains all the service data in the network serving cell as an example, but the embodiment does not limit this.
  • the network serving cell in the embodiment of the present invention may point to all network serving cells in a regional network, where the area may be large or small, and may be determined according to network optimization requirements, for example, all networks in the Shenzhen network may be used.
  • the Yueliang Community can also be all network service communities in a regional network in Shenzhen. This embodiment takes the network optimization of Shenzhen as an example for explanation, and the principles of other regions are the same.
  • each service data includes a received signal measurement value and positioning information, where the received signal measurement value indicates a size of a signal sent by the base station actually received by the terminal, and different parameters may be used in different application fields.
  • the received signal measurement value can be Received Signal Code Power (RSCP), and is implemented in Long Term Evolution (LTE) technology.
  • the received signal measurement value may be Reference Signal Receiving Power (RSRP).
  • RSRP Reference Signal Receiving Power
  • GSM Global System For Mobile Communications
  • RXLEV Received Signal Level
  • This embodiment uses the RSCP in the WCDMA technology as an example. However, this embodiment does not limit the technical field to which the present invention is applied and the specific parameters represented by the received signal measurement values.
  • the positioning information may include Global Positioning System (GPS) positioning information.
  • GPS Global Positioning System
  • the basic principle of GPS positioning is based on the instantaneous position of the satellite moving at high speed as the known starting data, and the method of spatial distance resection is used to determine the point to be measured. s position.
  • the method of the GPS positioning is various, and different positioning methods can be adopted according to different uses, which is not limited in this embodiment. Or, use the Time of Arrival (TO A) positioning method and the Time Difference of Arrival (TDOA) positioning method.
  • TO A Time of Arrival
  • TDOA Time Difference of Arrival
  • TOA represents the signal propagation time (RTT/2) between the terminal and the cell, and the speed of the radio wave propagating in the air is the speed of light c, so the distance between the cell and the terminal is c* (RTT/2). .
  • RTT cell-to-terminal loopback times
  • TDOA is an improved algorithm for TOA.
  • TDOA still uses the method of estimating the distance according to time.
  • TDOA indicates the propagation time difference between the terminal and the two cells, and the product of the speed of light c and the propagation time difference between the terminal and the two cells is The difference between the distance between the terminal and the two cells can be obtained.
  • three hyperbolas can be obtained by using three cells. The intersection of the three hyperbolas is the positioning position (only two hyperbolic curves can be considered). ).
  • the computing server 50 can receive the MR data collected by the data collection device from the network, and then acquire the service data according to the MR data.
  • MR is the main means for the network side to obtain wireless information of the terminal. It mainly consists of two parts: the uplink signal and the downlink signal.
  • the downlink signal information is collected by the network terminal, and is sent to the data collection unit through the measurement report of the air interface.
  • the uplink signal information is collected by the BTS measurement on the network side and reported to the data collection unit.
  • the MR data can include RSCP measurements, GPS information.
  • the computing server can sort the MR data of the same terminal and the same service to obtain the service data.
  • Business data can be stored in a table or other form, either in a computing server or in another storage unit for use by the computing server.
  • Corresponding unit 502 configured to map each of the service data to a network grid according to the positioning information of the service data;
  • the computing server may preset the network raster map and store the network raster graph data.
  • the network grid map divides the area in the Shenzhen network into a plurality of network grids of the same size according to a certain proportion.
  • the network raster map data may include longitude and latitude of each grid, a grid number, a cell identification number, a neighboring area identification number, and a received signal theoretical value of each grid, where the received signal theoretical value represents Obtained according to the propagation model
  • the size of the signal in the network grid may be represented by different parameters in different application fields, but it needs to be consistent with the parameter represented by the received signal measurement value in the service data, for example, the received signal measurement value in the service data is In RSCP, the theoretical value of the received signal is the theoretical value of RSCP. When the measured value of the received signal is RSRP, the theoretical value of the received signal is the theoretical value of RSRP.
  • the theoretical value of the received signal is the theoretical value of RSCP. Because the received signal measurement value in the embodiment is described by taking the RSCP in the UMTS technology as an example, in the present embodiment, the theoretical value of the received signal is the RSCP theoretical value. However, the technical field in which the present embodiment is not applied to the present invention is The specific parameters represented by the theoretical values of the received signals are limited.
  • the RSCP theoretical value of the network grid is an RSCP value in the network grid obtained according to a propagation model.
  • Each network grid belongs to one primary serving cell and also has neighboring cells.
  • the RSCP transmission value of each primary serving cell can be recorded in advance.
  • the corresponding unit 502 determines, according to the positioning information of the service data, that the network grid corresponding to the service data can have multiple implementation methods.
  • the method may include: determining, according to the positioning information of each service data, the corresponding each of the service data. Calculating the position coordinates; matching the calculated position coordinates of each of the business data with the position coordinates in the network raster map including the plurality of network grids, and determining a network grid corresponding to each of the service data.
  • the corresponding unit 502 first locates each service data according to the positioning and fixed interest in each service data.
  • GPS positioning uses at least four satellite signals to determine the position of the terminal. At present, GPS has been able to achieve positioning accuracy within ten meters. However, because GPS positioning relies on the acquisition and reception of satellite signals, in indoor environments, it is difficult to receive signals from the positioning satellites, resulting in GPS positioning not working properly. Therefore, if the service data contains GPS positioning information, The GPS is used to locate the service data. If there is no GPS positioning information in the service data, the service data is located by using the TOA or TDOA method according to the RTT information, and the coordinates of each service data are obtained. Preferably, the coordinates of the service data can be used. Expressed by latitude and longitude.
  • the matching unit 502 further matches the coordinates of each service data with the coordinates in the network raster map to determine a network grid corresponding to each of the service data. For example, 4 ⁇ If the location in the network raster map that matches the latitude and longitude of the service data 11 is in the first network grid, the service data 11 is mapped to the first network grid.
  • each business data can be mapped as a point to a corresponding location in the network grid.
  • each network grid may be represented by a set, and the service data included in one update period in each network grid is used as an element of each corresponding set, for example, the first network grid is within an update period.
  • the service data can be expressed as ⁇ business data 11, business data 12, business data 13, business data 14, ..., ⁇ , and the service data in an update cycle of the second network grid can be expressed as ⁇ business data 21 , business data 22, business data 23, business data 24, ... ⁇ , other network grid representation methods are the same.
  • the business data contained in one update cycle in each network grid can also be counted and represented by a list.
  • a threshold value determining unit 503 configured to determine, according to the received signal measurement value in each of the network grids and the corresponding received signal theoretical value of each of the network grids, the receiving of each of the network grids a signal threshold value, wherein a theoretical value of the received signal of the network grid is a received signal value in the network grid acquired according to a propagation model;
  • the computing server 50 further includes: an updating unit 506, configured to set an update period;
  • the threshold value determining unit 503 includes,
  • the selecting module 5031 is configured to select, in each of the network grids, a received signal measurement value that is less than a theoretical value of a received signal of the corresponding network grid;
  • the calculating module 5032 is configured to calculate an average value of the received signal measurement values in each of the network grids that is less than a theoretical value of the received signal of the corresponding network grid, and subtract the preset correction values to obtain each of the corresponding The received signal threshold of the network grid.
  • the selecting module 5031 is configured to select, in each of the network grids, a received signal measurement value that is greater than a theoretical value of a received signal of the corresponding network grid;
  • the calculating module 5032 is configured to calculate an average value of the received signal measurement values in each of the network grids that is greater than a theoretical value of the received signal of the corresponding network grid, and subtract the preset corrections respectively. The value yields a corresponding received signal threshold for each of the network grids.
  • the received signal threshold for each network grid can be determined, but the accuracy obtained is different.
  • the received signal is RSCP
  • the first case is taken as an example for specific description.
  • the computing server 50 may preset a propagation model of the network serving cell.
  • the wireless communication environments of different provinces and cities vary widely.
  • a city in a hilly area has a communication environment compared with a city in a plain area.
  • the propagation model of the network serving cell can be determined by the influence of parameters such as terrain, landform, buildings, vegetation, and the like.
  • the RSCP theoretical value in each network grid of the network serving cell can be obtained.
  • the network grid attribution can be determined according to the network grid number.
  • the primary serving cell can further obtain the RSCP transmission value of the primary serving cell, and the RSCP theoretical value of the grid can be calculated according to the propagation model by using the RSCP transmission value of the primary serving cell and the distance from the primary serving cell to the network grid.
  • the RSCP theoretical value of each network grid can be pre-calculated and stored, or calculated in real time.
  • the selecting module 5031 selects, in each update period, all RSCP measurement values in the corresponding update period that are smaller than the RSCP theoretical value according to the update period set by the update unit 506.
  • the service data of the first network grid is represented in the update cycle as ⁇ service data 11, service data 12, service data 13, service data 14, ... ⁇ , according to which, RSCP measurement value in a service data of a network grid in an update period, ⁇ RSCP 11 , RSCP 12 , RSCP 13 , RSCP 14 , ... ⁇ , respectively, the RSCP measurement values in the set are in the first network grid
  • the comparison of the RSCP theoretical values yields all RSCP measurements that are smaller than the RSCP theoretical value in the first network grid.
  • all RSCP measurements in the other network grids that are smaller than the RSCP theoretical values in the corresponding network grid can be selected. value.
  • the calculating module 5032 subtracts the preset correction value from each of the update periods in each of the network grids according to the update period set by the update unit 506 to obtain a corresponding network grid.
  • the calculation module 5032 will calculate the calculated one. All of the RSCP measurements that are smaller than the RSCP theoretical value in the first network grid during the update period are subtracted from the preset correction values to obtain the RSCP threshold of the first network grid during the update period.
  • the preset correction value may be a building penetration loss value in the Shenzhen area, preferably, because the threshold value is obtained by subtracting the correction value from the average value of all RSCP measurement values smaller than the theoretical value of RSCP, therefore, The threshold value can be smaller than the building penetration loss value in Shenzhen.
  • the RSCP threshold of all corresponding network grids in other network grids during the update period can be obtained.
  • the distribution map generating unit 505 is configured to generate an indoor service distribution map and an outdoor service distribution map of the network serving cell according to the indoor service data and the outdoor service data of each of the network grids.
  • the distinguishing unit 504 utilizes the RSCP measurement value of each service data and the RSCP gate in the corresponding network grid. The limit comparison can distinguish whether each business data belongs to indoor business data or outdoor business data.
  • the distinguishing unit 504 counts the service data of the RSCP measurement value in each grid network that is greater than the RSCP threshold value of the corresponding network grid as the outdoor service data, and counts the RSCP measurement value in each grid network.
  • Service data smaller than the RSCP threshold of the corresponding network grid is used as indoor service data.
  • the distribution map generating unit 505 is configured to generate an indoor service map and an outdoor service map based on the indoor business data and the indoor business data, respectively.
  • the outdoor service distribution map and the indoor service distribution map in the specific period are respectively drawn according to the outdoor service data and the indoor service data in a specific period.
  • the trend of service distribution and the trend of indoor business distribution can be analyzed separately.
  • the device for distinguishing indoor and outdoor service data provided by the embodiment of the present invention, according to the number of indoor services
  • the statistical method is used to determine the threshold of the indoor and outdoor service data, and the indoor MR data and the outdoor MR data are effectively separated, thereby realizing the separation of indoor hotspots and outdoor hotspots, thereby realizing according to indoor hotspots and
  • the outdoor hotspot selects the corresponding expansion technology.
  • modules/units in the device in the embodiment are only for the purpose of better expressing the entity or physical entity of the logic having the function, and are not limited to the name definition in the embodiment, in the embodiment.
  • the modules/units in the apparatus may be distributed in the apparatus of the embodiment as described in the embodiment, or may be correspondingly changed in one or more apparatuses different from the embodiment.
  • the modules of the above embodiments may be combined into one module, or may be further split into a plurality of sub-modules.
  • the serial numbers of the embodiments of the present invention are merely for the description, and do not represent the advantages and disadvantages of the embodiments.
  • the solution described in the claims is also the protection scope of the embodiment of the present invention.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本发明实施例公开了室内外业务数据的区分方法及设备,涉及通信领域,通过确定的门限将室内数据和室外数据分离。本发明实施例提供的方法包括:获取网络服务小区的业务数据,每一个所述业务数据包含接收信号测量值及定位信息;根据所述业务数据的定位信息将每一个所述业务数据对应到一个网络栅格;根据每一个所述网络栅格内所对应的接收信号测量值以及接收信号理论值确定每一个所述网络栅格的接收信号门限值,其中,所述网络栅格的接收信号理论值为根据传播模型获取的所述网络栅格内的接收信号值;根据每一个所述网络栅格的接收信号门限值和对应的每一个所述网络栅格所对应的接收信号测量值区分每一个所述网络栅格的室内业务数据和室外业务数据。

Description

一种室内外业务数据的区分方法及设备 本申请要求于 2 01 2 年 06 月 1 8 日提交中国专利局、 申请号为 2 01 2 1 02 01 752. 5、 发明名称为 "一种室内外业务数据的区分方法及 设备" 的中国专利申请的优先权, 其全部内容通过引用结合在本申 请中。
技术领域
本发明涉及通信领域,尤其涉及一种室内外业务数据的区分方法及设 备。
背景技术
随着移动宽带时代的到来, 大量移动用户产生大量网络容量需求, 尤其对于移动用户的密集地, 对移动网络造成很大冲击, 所以需要移动 网络进行扩容, 进而优化网络的配置。 而对话务密度、 话务分布等指标 进行关联性的综合分析, 对制定容量站点和扩容站, ^的精确规划起着十 分重要的作用。
现有技术通过测量报告 ( Measurement Report, 简称 MR ) 数据可定 位移动用户通话时 MR的位置, 根据 MR数据的位置分布获得话务分布 的密集状况, 根据话务分布的密集状况, 可以从地理位置上识别网络哪 些区域是热点区域, 哪些区域是非热点区域, 进而才艮据热点区域和非热 点区域对网络进行优化。 但是,现有技术不能将室内 MR数据和室外 MR数据有效分离出来, 进而不能有效区分室内热点和室外热点, 不能才艮据室内热点和室外热点 选择相应的扩容技术。
发明内容 本发明的实施例提供一种室内外业务数据的区分方法及设备, 根据 室内业务数据和室外业务数据接收信号的差异, 利用统计的方法确定室 内外业务数据的门限, 能将室内数据和室外数据有效分离出来, 为室内 热点和室外热点的分离提供依据。 为达到上述目的, 本发明实施例采用的技术方案为,
一方面, 本发明实施例提供一种室内外业务数据的区分方法, 包括: 获取网络服务小区的业务数据, 每一个所述业务数据包含接收信号 测量值及定位信息; 根据每一个所述业务数据的定位信息将每一个所述业务数据对应到 一个网络栅格; 根据每一个所述网络栅格内所对应的接收信号测量值以及对应的每 一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收信 号门限值, 其中, 所述网络栅格的接收信号理论值为根据传播模型获取 的所述网络栅格内的接收信号值; 根据每一个所述网络栅格的接收信号门限值和对应的每一个所述网 络栅格内所对应的接收信号测量值区分每一个所述网络栅格的室内业务 数据和室外业务数据。
另一方面, 本发明实施例提供一种室内外业务数据的区分设备, 包 括,
获取单元, 用于获取网络服务小区的所有业务数据, 每一个所述业 务数据均包含接收信号码域功率接收信号测量值及定位信息;
对应单元, 用于根据每一个所述业务数据的定位信息将每一个所述 业务数据对应到一个网络栅格;
门限值确定单元, 用于根据每一个所述网络栅格内所对应的接收信 号测量值及对应的每一个所述网络栅格的接收信号理论值确定每一个所 述网络栅格的接收信号门限值, 其中, 所述网络栅格的接收信号理论值 为根据传播模型获取的所述网络栅格内的接收信号值;
区分单元, 用于根据每一个所述网络栅格的接收信号门限值和对应 的每一个所述网络栅格所对应的接收信号测量值区分每一个所述网络栅 格的室内业务数据和室外业务数据。 本发明实施例提供的室内外业务数据的区分方法及设备, 根据室内 业务数据和室外业务数据接收信号的差异, 利用统计的方法确定室内外 业务数据的门限, 进而将室内 MR数据和室外 MR数据有效分离出来, 实现室内热点和室外热点的分离 , 进而实现根据室内热点和室外热点选 择相应的扩容技术。
附图说明
对实施例或现有技术描述中所需要使用的附图作简单地介绍, 显而易见 地, 下面描述中的附图仅仅是本发明的一些实施例, 对于本领域普通技 术人员来讲, 在不付出创造性劳动的前提下, 还可以根据这些附图获得 其他的附图。 图 1 为本发明实施例提供的一种室内外业务数据的区分方法流程 图;
图 2 为本发明实施例提供的另一种室内外业务数据的区分方法流程 图;
图 3为网络栅格图;
图 4为分配业务数据后的网络栅格图; 图 5 为本发明实施例提供的一种室内外业务数据的区分设备的装置 结构图;
图 6为本发明实施例提供的另一种室内外业务数据的区分设备的装 置结构图。
具体实施方式 下面将结合本发明实施例中的附图, 对本发明实施例中的技术方案 进行清楚、 完整地描述, 显然, 所描述的实施例仅仅是本发明一部分实 施例, 而不是全部的实施例。 基于本发明中的实施例, 本领域普通技术 人员在没有做出创造性劳动前提下所获得的所有其他实施例, 都属于本 发明保护的范围。
本发明实施例提供了一种室内外业务数据的门限确定方法, 参见图 1 , 包括,
S 101 : 获取网络服务小区的业务数据, 每一个所述业务数据包含接 收信号测量值及定位信息;
S 102: 根据所述业务数据的定位信息将每一个所述业务数据对应到 一个网络栅格;
S 103 : 根据每一个所述网络栅格内所对应的接收信号测量值及对应 的每一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接 收信号门限值, 其中, 所述网络栅格的接收信号理论值为根据传播模型 获取的所述网络栅格内的接收信号值;
S 104: 根据每一个所述网络栅格的接收信号门限值和对应的每一个 所述网络栅格所对应的接收信号测量值区分每一个所述网络栅格的室内 业务数据和室外业务数据。 本发明实施例提供的室内外业务数据的区分方法, 根据室内业务数 据和室外业务数据接收信号的差异, 利用统计的方法确定室内外业务数 据的门限, 进而将室内 MR数据和室外 MR数据有效分离出来, 实现室 内热点和室外热点的分离, 进而实现根据室内热点和室外热点选择相应 的扩容技术。 本发明另一实施例详细介绍室内外业务数据的区分方法, 参见图 2 , 包括:
S201 : 获取网络服务小区的业务数据, 每一个所述业务数据包含接 收信号测量值及定位信息; 示例性的, 本实施例可以由计算服务器获取网络服务小区的所有业 务数据, 根据实际需要, 可以通过获取网络服务小区内的所有业务数据 对该网络服务小区内所有用户设备的室内业务分部和室外业务分部进行 统计; 也可以通过获取网络服务小区内特定的一个用户设备的业务数据 对特定的一个用户设备的室内业务分部和室外业务分部进行统计; 还可 以通过获取网络服务小区内一个特定群体的用户设备的业务数据对该特 定群体的用户设备的室内业务分部和室外业务分部进行统计。 本实施例 仅以获取网络服务小区内的所有业务数据对该网络服务小区内所有用户 设备的室内业务分部和室外业务分部的统计进行说明, 但本实施例对此 不进行限制。 本发明实施例所述的网络服务小区可以指针对一个地区组网内的所 有服务小区, 其中地区可大可小, 根据网络优化的需要来确定, 比如可 以是深圳市组网内的所有月良务小区, 也可以是深圳市的一个区组网内的 所有服务小区。 本实施例以深圳市的网络优化为例进行说明, 其他地区 的原理相同。
优选的, 可以设置一个更新周期, 对每一个更新周期内网络服务小 区的所有数据分别进行处理, 这样可以得到动态的室内外业务数据的门 限。 更新周期的长短可以根据需要进行设定, 例如可以为一天, 一周等。 本实施例以其中一个周期为例进行说明, 本实施例下文所述所有业务数 据均指深圳市组网范围内一个更新周期内的业务数据。 示例性的, 每一个业务数据包含接收信号测量值及定位信息, 其中, 所述接收信号测量值表示终端实际接收到的基站发送的信号的大小, 在 不同的应用领域可以用不同的参数表示, 例如, 通用移动通信系统
( Universal Mobile Telecommunications System , 简称 UMTS)中, 接收 信号测量值可以为接收信号码域 ( Received Signal Code Power , 简称 RSCP ), 在长期演进( Long Term Evolution, 简称 LTE )技术中, 接收信 号测量值可以为参考信号接收功率 ( Reference Signal Receiving Power, 简称 RSRP ) , 在全球移动通信系统 ( Global System For Mobile Communications , 简称 GSM ) 中, 接收信号测量值可以为接收信号电平
( Received Signal Level , 简称 RXLEV )。 本实施例以 WCDMA技术中的 RSCP为例进行说明, 但是, 本实施例不对本发明应用的技术领域和接收 信号测量值代表的具体参数作出限制。
定位信息可以包含全球定位系统 (Global Positioning System, 简称 GPS ) 定位信息, GPS 定位的基本原理是根据高速运动的卫星瞬间位置 作为已知的起算数据, 采用空间距离后方交会的方法, 确定待测点的位 置。 GPS 定位的方法是多种多样的, 可以根据不同的用途采用不同的定 位方法, 本实施例对此不作限定。 或者, 利用到达时间 ( Time of Arrival , 简称 TO A ) 定位方法、 到达 时间差 ( Time Difference of Arrival , 简称 TDOA ) 定位方法的信息。 例 如包含至少三个小区到终端的环回时间 ( Round Trip Time , 简称 RTT )。
其中, TOA的基本原理为, TOA表示终端与小区之间的信号传播时 长 (RTT/2 ), 无线电波在空气中传播的速度为光速 c , 因此小区与终端 的距离为 c* ( RTT/2 )。 利用至少 3个小区与终端之间的距离, 根据三边 定位原理就可以得出终端的位置。
TDOA是 TOA的改进算法。 TDOA仍然采用根据时间估计距离的方 式, 与 TOA不同的是, TDOA表示信号在终端与两个小区之间的传播时 长差, 根据光速 c 与终端与两个小区之间的传播时长差的乘积就能得到 终端与两个小区的距离之差。 因为两点的距离之差等于一个常数, 这符 合双曲线的特性, 利用 3个小区可以得到 3条双曲线, 这 3条双曲线的 交点就是定位位置 (也可只考虑其中的两条双曲线)。
示例性的, 计算服务器可以接收数据采集设备从网络中采集的 MR 数据, 然后根据 MR数据获取业务数据。
MR 数据是网络侧获得终端无线信息的重要手段, 主要包含两个部 分: 上行信号信息以及下行信号信息。 示例性的, 下行信号信息由网络终端测量采集, 通过空口的测量报 告( Measurement Report )信令上 4艮给数据采集单元; 上行信号信息由网 络侧的基站收发台 ( Base Transceiver Station, 简称 BTS ) 测量采集并上 报给数据采集单元。
MR数据可以包括 RSCP测量值, GPS信息。 因为数据采集单元采集的 MR数据来自网络的不同部分, 计算服务 器可以将同一终端、 同一次业务的 MR数据进行整理后得到业务数据。 业务数据可以以表格或者其他形式进行储存, 即可以储存在计算服 务器中, 也可以储存在其他储存单元以供计算服务器使用。
S202: 根据所述业务数据的定位信息将每一个所述业务数据对应到 一个网络栅格; 示例性的, 计算服务器可以预先设置网络栅格图并储存网络栅格图 数据。 参见图 3 , 该网络栅格图将深圳市组网内的区域按照一定比例划 分为大小相同的多个网络栅格。 其中, 网络栅格图数据可以包括每一个 栅格的经度和纬度, 栅格编号, 小区标识号, 邻区标识号及每个栅格的 接收信号理论值, 其中, 所述接收信号理论值表示根据传播模型获取的 所述网络栅格内的信号的大小, 在不同的应用领域可以用不同的参数表 示, 但是需要和业务数据中的接收信号测量值表示的参数一致, 例如, 业务数据中的接收信号测量值为 RSCP时, 接收信号理论值为 RSCP理 论值, 当接收信号测量值为 RSRP时, 接收信号理论值为 RSRP理论值, 当接收信号测量值为 RXLEV时, 接收信号理论值为 RSCP理论值。 因为 本实施例接收信号测量值以 UMTS技术中的 RSCP为例进行说明的, 所 以, 在本实施例中, 接收信号理论值为 RSCP 理论值, 但是, 本实施例 不对本发明应用的技术领域和接收信号理论值代表的具体参数作出限 制。
示例性的, 所述网络栅格的 RSCP 理论值为根据传播模型获取的所 述网络栅格内的 RSCP值。 每一个网络栅格归属一个主服务小区, 也有 相邻小区。 可以预先记录每一个主服务小区的 RSCP发射值。 根据业务数据的定位信息将该业务数据对应到一个网络栅格可以有 多种实现方法, 示例性的, 可以包括: 根据每一个业务数据的定位信息确定对应的所述每一个业务数据发 生的计算位置坐标; 将每一个所述业务数据发生的计算位置坐标与包含多个网络栅格的 网络栅格图中的位置坐标进行匹配, 确定每一个所述业务数据对应的网 络栅格。
示例性的, 计算服务器根据每一个业务数据里面的定位定息定位每 一个业务数据。
GPS定位利用至少 4颗卫星信号来确定终端的位置, 目前 GPS已经 能够达到十米以内的定位精度。 但是, 因为 GPS定位依赖于对卫星信号 的捕获和接收, 而在室内环境下,很难接收到定位卫星的信号,造成 GPS 定位无法正常使用, 所以, 优选的, 如果业务数据内含有 GPS定位信息 则利用 GPS对业务数据定位, 如果业务数据内部没有 GPS定位信息, 则 根据 RTT信息利用 TOA或者 TDOA的方法对业务数据进行定位, 得到 每一个业务数据的坐标, 优选的, 业务数据的坐标可以用经纬度表示。 示例性的, 计算服务器将每一个业务数据的坐标与网络栅格图中坐 标进行匹配, 确定每一个所述业务数据对应的网络栅格。 例如, 4叚设网 络栅格图中与业务数据 11的经纬度匹配的位置处于第一网络栅格中, 则 把业务数据 11对应到第一网络栅格。 参加图 4 , 可以将每一个业务数据 作为一个点映射到网络栅格中相应的位置。 优选的, 可以将每一个网络 栅格分别用一个集合表示, 每一个网络栅格中一个更新周期内包含的业 务数据作为对应的每一个集合的元素, 例如, 第一网络栅格一个更新周 期内的业务数据可以表示为 {业务数据 11 , 业务数据 12 , 业务数据 13 , 业务数据 14 , ... ... } , 第二网络栅格一个更新周期内的业务数据可以表示 为{业务数据 21 , 业务数据 22 , 业务数据 23 , 业务数据 24 , ... ... } , 其 他网络栅格表示方法相同。 当然, 也可以将每一个网络栅格中一个更新 周期内包含的业务数据进行统计并用列表表示。
S203 : 根据无线电波的传播模型, 获取所述每一个网络栅格内的接 收信号理论值; 示例性的, 本实施例中接收信号理论值为 RSCP理论值。
示例性的, 所述网络栅格的 RSCP 理论值为根据传播模型获取的所 述网络栅格内的 RSCP值。 每一个网络栅格归属一个主服务小区, 可以 预先记录每一个主服务小区的 RSCP发射值。
示例性的, 计算服务器可以预先设置网络服务小区的传播模型, 实 际应用中, 由于各省、 市的无线传播环境千差万别, 例如, 处于丘陵地 区的城市与处于平原地区的城市相比, 其传播环境有 艮大不同, 所以两 者的传播模型也会存在较大差异。 因此, 优选的, 网络服务小区的传播 模型可以结合地形、 地貌、 建筑物、 植被等参数的影响进行确定。
例如, 传播模型可以为 RSCP = RSCP0-[ 128.1+37.61oglO(D) ] , 其中, RSCP 为理论值, RSCP0为发射值, 128.1+37.61ogl O(D)为路 径损耗 (Path Loss , 简称 PL) , D为基站和终端的距离, 单位为 km。 根据传播模型, 可以获取网络服务小区每一个网络栅格内的 RSCP 理论值, 示例性的, 计算其中一个特定的网络栅格的 RSCP 理论值时, 根据网络栅格的编号可以确定网络栅格归属的主服务小区, 进而可以得 到主服务小区的 RSCP。, 利用主服务小区的 RSCP发射值和主服务小区 到该网络栅格的距离 D , 根据传播模型可以计算得到该栅格的 RSCP理 论值。 另外, 根据计算服务器的计算能力和储存能力, 每一个网络栅格 的 RSCP理论值可以预先计算得到并储存, 也可以实时计算。 根据无线信号的传播原理, 信号在空气中的损耗和穿过建筑物的损 耗差距比较大, 所以, 对于相同无线电发信地点和相同的接收地点, 室 内和室外接收到的信号的 RSCP值不同。 所以, 一个网络栅格内的 RSCP 理论值与该地区建筑物的穿透损耗制的差可以作为确定室内业务数据和 室外业务数据门限的依据。
S204: 选取每一个所述网络栅格内小于对应网络栅格的接收信号理 论值的接收信号测量值; 优选的, 根据设置的更新周期, 在每个更新周期内选取所述每一个 网络栅格内在对应更新周期内的所有小于所述 RSCP理论值的 RSCP测 量值。
以第一网络栅格为例, 第一网络栅格在一个更新周期内业务数据表 示为 {业务数据 11 , 业务数据 12 , 业务数据 13 , 业务数据 14 , …… } , 据此, 可以得到第一网络栅格在一个更新周期内的业务数据中的 RSCP 测量值, {RSCP 11 , RSCP 12 , RSCP 13 , RSCP 14 , …… } , 将该集合中 RSCP测量值分别与第一网络栅格中的 RSCP理论值比较,得到所有比第 一网络栅格中的 RSCP理论值小的 RSCP测量值, 同理, 可以求取其他 网络栅格内所有比对应网络栅格中的 RSCP理论值小的 RSCP测量值 。
S205 : 计算每一个所述网络栅格内小于对应网络栅格的接收信号理 论值的接收信号测量值的平均值, 分别减去预设的修正值得到对应的每 一个所述网络栅格的接收信号门限值; 优选的, 根据设置的更新周期, 将所述每一个网络栅格内的每个更 新周期内的平均值分别减去预设的修正值得到对应的每一个网络栅格的 每个更新周期内的 RSCP门限值。
以第一网络栅格为例进行说明, 将计算所得的一个更新周期内所有 比第一网络栅格中的 RSCP理论值小的 RSCP测量值的平均值减去预设 的修正值得到第一网络栅格在该更新周期内的 RSCP 门限值。 其中, 预 设的修正值可以为深圳地区的建筑物穿透损耗值, 优选的, 因为门限值 是利用比 RSCP理论值小的所有 RSCP测量值的平均值减去修正值得到 的, 所以, 该门限值可以小于深圳地区的建筑物穿透损耗值。
同理, 可以求取其他网络栅格内所有对应网络栅格在该更新周期内 的 RSCP门限值。 需要说明的是: S204-S205是根据一个网络栅格内所对应的 RSCP测 量值以及该网络栅格的 RSCP 理论值确定该网络栅格的接收信号门限值 的一种情况, 还存在的一种情况是, 当一个网络栅格内所对应的 RSCP 测量值均不小该网络栅格的 RSCP 理论值时, 在这种况下, 根据网络栅 格内所对应的 RSCP测量值以及该网络栅格的 RSCP理论值确定该网络 栅格的接收信号门限值的方法不需要经过 RSCP 测量值的计算, 只需将 该网络栅格内所对应的 RSCP 测量值全部与该网络栅格的接收信号理论 值进行比较, 在确定 RSCP测量值均不小该网络栅格的 RSCP理论值后, 直接将该网络栅格的 RSCP 理论值减去预设的修正值得到该网络栅格的 接收信号门限值。 例如, 若第一网络栅格内所对应的 RSCP 测量值均不小于所述第一 网络栅格内的 RSCP理论值, 则将所述第一网络栅格内的 RSCP理论值 减去预设的修正值得到第一网络栅格的 RSCP门限值。
S206: 根据每一个所述网络栅格的接收信号门限值和对应的每一个 所述网络栅格所对应的接收信号测量值区分每一个所述网络栅格的室内 业务数据和室外业务数据;
示例性的, 确定每一个网络栅格在一个特定更新周期内的 RSCP 门 限值后,利用每一个业务数据的 RSCP测量值与对应网络栅格内的 RSCP 门限值比较即可判断每一个业务数据属于室内业务数据还是室外业务数 据。
优选的, 根据设置的更新周期, 在每个更新周期内统计每一个栅格 网络中 RSCP测量值大于对应网络栅格的 RSCP 门限值的业务数据作为 室外业务数据, 统计每一个栅格网络中 RSCP 测量值小于对应网络栅格 的 RSCP门限值的业务数据作为室内业务数据。
S207: 根据每一个所述网络栅格的室内业务数据和室外业务数据分 别生成所述网络服务小区的室内业务分布图和室外业务分布图。
示例性的, 根据更新特定周期内的室外业务数据和室内业务数据分 别绘制该特定周期内的室外业务分布图和室内业务分布图。
根据多个连续更新周期内的室外业务分布图和室内业务分布图可以 业务分布的趋势进行和室内业务分布趋势分别进行分析。 本发明实施例提供的室内外业务数据的区分方法, 根据室内业务数 据和室外业务数据接收信号的差异, 利用统计的方法确定室内外业务数 据的门限, 进而将室内 MR数据和室外 MR数据有效分离出来, 实现室 内热点和室外热点的分离, 进而实现根据室内热点和室外热点选择相应 的扩容技术。
本发明实施例提供了另一种室内外业务数据的区分方法, 其主要过 程和上述实施例相同, 只是步骤 S204和 S205不同, 下面仅针对不同的 部分进行说明。
在本实施例中, 步骤 S204的方法为: 选取每一个所述网络栅格内大 于对应网络栅格的接收信号理论值的接收信号测量值; 步骤 S205的方法 为: 计算每一个所述网络栅格内大于对应网络栅格的接收信号理论值的 接收信号测量值的平均值, 分另 'J减去预设的修正值得到对应的每一个所 述网络栅格的接收信号门限值;
示例性的, 根据设置的更新周期, 在每个更新周期内选取所述每一 个网络栅格内在对应更新周期内的所有大于所述 RSCP 理论值的 RSCP 测量值, 并分别计算每一个网络栅格内的每个更新周期内的平均值。
以第二网络栅格为例, 第二网络栅格在一个更新周期内业务数据表 示为 {业务数据 21 , 业务数据 22 , 业务数据 23 , 业务数据 24 , …… } , 据此, 可以得到第二网络栅格在一个更新周期内的业务数据中的 RSCP 测量值, {RSCP21 , RSCP22 , RSCP 23 , RSCP 24 , …… } , 将该集合中 RSCP测量值分别与第二网络栅格中的 RSCP理论值比较,得到所有比第 二网络栅格中的 RSCP理论值大的 RSCP测量值, 然后计算所有比第二 网络栅格中的 RSCP理论值大的 RSCP测量值的平均值。
同理, 可以求取其他网络栅格内所有比对应网络栅格中的 RSCP 理 论值大的 RSCP测量值的平均值。 相应的, 将所述每一个网络栅格内的平均值分别减去预设的修正值 得到对应的每一个网络栅格的 RSCP 门限值。 其中, 预设的修正值可以 为深圳地区的建筑物穿透损耗值。 需要说明的是: 同理, 本实施例中 S204-S205 也是根据一个网络栅 格内所对应的 RSCP测量值以及该网络栅格的 RSCP理论值确定该网络 栅格的接收信号门限值的一种情况, 还存在的一种情况是, 当一个网络 栅格内所对应的 RSCP测量值均不大该网络栅格的 RSCP理论值时, 在 这种况下, 根据网络栅格内所对应的 RSCP 测量值以及该网络栅格的 RSCP理论值确定该网络栅格的接收信号门限值的方法不需要经过 RSCP 测量值的计算, 只需将该网络栅格内所对应的 RSCP 测量值全部与该网 络栅格的接收信号理论值进行比较, 在确定 RSCP 测量值均不大于该网 络栅格的 RSCP理论值后, 直接将该网络栅格的 RSCP理论值减去预设 的修正值得到该网络栅格的接收信号门限值。 例如, 若第三网络栅格内所对应的 RSCP 测量值均不大于所述第三 网络栅格内的 RSCP理论值, 则将所述第三网络栅格内的 RSCP理论值 减去预设的修正值得到第三网络栅格的 RSCP门限值。 本发明实施例利用统计的方法求取比较精确的室内外 RSCP门限值, 进而区分室内业务数据和室外业务数据, 利用上述两种方法均可实现本 发明的发明目的, 只是达到的精度不同而已。
本发明实施例提供的室内外业务数据的区分方法, 根据室内业务数 据和室外业务数据接收信号的差异, 利用统计的方法确定室内外业务数 据的门限, 进而将室内 MR数据和室外 MR数据有效分离出来, 实现室 内热点和室外热点的分离, 进而实现根据室内热点和室外热点选择相应 的扩容技术。
本发明实施例提供了一种室内外业务数据的区分设备, 该设备可以 配置在计算服务器 50上, 应用于图 1所示的方法, 参见图 5 , 该计算服 务器 50 包括: 获取单元 501 , 对应单元 502 , 门限值确定单元 503 , 区 分单元 504。 其中, 获取单元 501 , 用于获取网络服务小区的所有业务数据, 每 一个所述业务数据均包含接收信号测量值及定位信息; 示例性的, 获取单元 501 获取网络服务小区业务数据, 根据实际需 要, 获取单元 501 可以获取网络服务小区内的所有业务数据以使得计算 服务器 50 对该网络服务小区内所有用户设备的室内业务分部和室外业 务分部进行统计; 获取单元 501 也可以获取网络服务小区内特定的一个 用户设备的业务数据以使得计算服务器 50 对特定的一个用户设备的室 内业务分部和室外业务分部进行统计; 获取单元 501 还可以获取网络服 务小区内一个特定群体的用户设备的业务数据以使得计算服务器 50 对 该特定群体的用户设备的室内业务分部和室外业务分部进行统计。 本实 施例仅以获取单元 501 获取网络服务小区内的所有业务数据为例进行说 明, 但本实施例对此不进行限制。 本发明实施例所述的网络服务小区可以指针对一个地区组网内的所 有网络服务小区, 其中地区可大可小, 根据网络优化的需要来确定, 比 如可以是深圳市组网内的所有网络月良务小区, 也可以是深圳市的一个区 组网内的所有网络服务小区。 本实施例以深圳市的网络优化为例进行说 明, 其他地区的原理相同。 示例性的, 每一个业务数据包含接收信号测量值及定位信息; 其中, 其中, 所述接收信号测量值表示终端实际接收到的基站发送的信号的大 小, 在不同的应用领域可以用不同的参数表示, 例如, 通用移动通信系 统 ( Universal Mobile Telecommunications System , 简称 UMTS中, 接收 信号测量值可以为接收信号码域 ( Received Signal Code Power , 简称 RSCP ), 在长期演进( Long Term Evolution, 简称 LTE )技术中, 接收信 号测量值可以为参考信号接收功率 ( Reference Signal Receiving Power, 简称 RSRP ) , 在全球移动通信系统 ( Global System For Mobile Communications , 简称 GSM ) 中, 接收信号测量值可以为接收信号电平 ( Received Signal Level , 简称 RXLEV )。 本实施例以 WCDMA技术中的 RSCP为例进行说明, 但是, 本实施例不对本发明应用的技术领域和接收 信号测量值代表的具体参数作出限制。
定位信息可以包含全球定位系统 (Global Positioning System, 简称 GPS ) 定位信息, GPS 定位的基本原理是根据高速运动的卫星瞬间位置 作为已知的起算数据, 采用空间距离后方交会的方法, 确定待测点的位 置。 GPS 定位的方法是多种多样的, 可以根据不同的用途采用不同的定 位方法, 本实施例对此不作限定。 或者, 利用到达时间 ( Time of Arrival , 简称 TO A ) 定位方法、 到达 时间差 ( Time Difference of Arrival , 简称 TDOA ) 定位方法的信息。 例 如包含至少三个小区到终端的环回时间 ( Round Trip Time , 简称 RTT ) 其中 TOA的基本原理为, TOA表示终端与小区之间的信号传播时长 ( RTT/2 ), 无线电波在空气中传播的速度为光速 c, 因此小区与终端的 距离为 c* ( RTT/2 )。 利用至少 3个小区与终端之间的距离, 根据三边定 位原理就可以得出终端的位置。
TDOA是 TOA的改进算法。 TDOA仍然采用根据时间估计距离的方 式, 与 TOA不同的是, TDOA表示信号在终端与两个小区之间的传播时 长差, 根据光速 c 与终端与两个小区之间的传播时长差的乘积就能得到 终端与两个小区的距离之差。 因为两点的距离之差等于一个常数, 这符 合双曲线的特性, 利用 3个小区可以得到 3条双曲线, 这 3条双曲线的 交点就是定位位置 (也可只考虑其中的两条双曲线)。
示例性的, 计算服务器 50 可以接收数据采集设备从网络中采集的 MR数据, 然后根据 MR数据获取业务数据。
MR 是网络侧获得终端无线信息的主要手段, 主要包含两个部分: 上行信号信, 以及下行信号信息。
示例性的, 下行信号信息由网络终端测量采集, 通过空口的测量报 告( Measurement Report )信令上 4艮给数据采集单元; 上行信号信息由网 络侧的 BTS测量采集并上报给数据采集单元。
MR数据可以包括 RSCP测量值, GPS信息。
因为数据采集单元采集的 MR数据来自网络的不同部分, 计算服务 器可以将同一终端、 同一次业务的 MR数据进行整理后得到业务数据。 业务数据可以以表格或者其他形式进行储存, 既可以储存在计算服 务器中, 也可以储存在其他储存单元以供计算服务器使用。 对应单元 502 , 用于根据所述业务数据的定位信息将每一个所述业 务数据对应到一个网络栅格;
示例性的, 计算服务器可以预先设置网络栅格图并储存网络栅格图 数据。 参见图 3 , 该网络栅格图将深圳市组网内的区域按照一定比例划 分为大小相同的多个网络栅格。 其中, 网络栅格图数据可以包括每一个 栅格的经度和纬度, 栅格编号, 小区标识号, 邻区标识号及每个栅格的 接收信号理论值, 其中, 所述接收信号理论值表示根据传播模型获取的 所述网络栅格内的信号的大小, 在不同的应用领域可以用不同的参数表 示, 但是需要和业务数据中的接收信号测量值表示的参数一致, 例如, 业务数据中的接收信号测量值为 RSCP时, 接收信号理论值为 RSCP理 论值, 当接收信号测量值为 RSRP时, 接收信号理论值为 RSRP理论值, 当接收信号测量值为 RXLEV时, 接收信号理论值为 RSCP理论值。 因为 本实施例接收信号测量值以 UMTS技术中的 RSCP为例进行说明的, 所 以, 在本实施例中, 接收信号理论值为 RSCP 理论值, 但是, 本实施例 不对本发明应用的技术领域和接收信号理论值代表的具体参数作出限 制。
示例性的, 所述网络栅格的 RSCP 理论值为根据传播模型获取的所 述网络栅格内的 RSCP值。 每一个网络栅格归属一个主服务小区, 也有 相邻小区。 可以预先记录每一个主服务小区的 RSCP发射值。 对应单元 502根据业务数据的定位信息确定该业务数据对应的网络 栅格可以有多种实现方法, 示例性的, 可以包括: 根据每一个业务数据的定位信息确定对应的所述每一个业务数据发 生的计算位置坐标; 将每一个所述业务数据发生的计算位置坐标与包含多个网络栅格的 网络栅格图中的位置坐标进行匹配, 确定每一个所述业务数据对应的网 络栅格。
示例性的, 对应单元 502首先根据每一个业务数据里面的定位定息 定位每一个业务数据。
GPS定位利用至少 4颗卫星信号来确定终端的位置, 目前 GPS已经 能够达到十米以内的定位精度。 但是, 因为 GPS定位依赖于对卫星信号 的捕获和接收, 而在室内环境下,很难接收到定位卫星的信号,造成 GPS 定位无法正常使用, 所以, 优选的, 如果业务数据内含有 GPS定位信息 则利用 GPS对业务数据定位, 如果业务数据内部没有 GPS定位信息, 则 根据 RTT信息利用 TOA或者 TDOA的方法对业务数据进行定位, 得到 每一个业务数据的坐标, 优选的, 业务数据的坐标可以用经纬度表示。 示例性的, 对应单元 502再将每一个业务数据的坐标与网络栅格图 中坐标进行匹配, 确定每一个所述业务数据对应的网络栅格。 例如, 4叚 设网络栅格图中与业务数据 11 的经纬度匹配的位置处于第一网络栅格 中, 则把业务数据 11对应到第一网络栅格。 参加图 4 , 可以将每一个业 务数据作为一个点映射到网络栅格中相应的位置。 优选的, 可以将每一 个网络栅格分别用一个集合表示, 每一个网络栅格中一个更新周期内包 含的业务数据作为对应的每一个集合的元素, 例如, 第一网络栅格一个 更新周期内的业务数据可以表示为 {业务数据 11 , 业务数据 12 , 业务数 据 13 , 业务数据 14 , ... ... } , 第二网络栅格一个更新周期内的业务数据 可以表示为 {业务数据 21 ,业务数据 22 ,业务数据 23 ,业务数据 24 , ... ... } , 其他网络栅格表示方法相同。 当然, 也可以将每一个网络栅格中一个更 新周期内包含的业务数据进行统计并用列表表示。
门限值确定单元 503 , 用于根据每一个所述网络栅格内所对应的接 收信号测量值以及对应的每一个所述网络栅格的接收信号理论值确定每 一个所述网络栅格的接收信号门限值, 其中, 所述网络栅格的接收信号 理论值为根据传播模型获取的所述网络栅格内的接收信号值;
区分单元 504 , 用于根据每一个所述网络栅格的接收信号门限值和 对应的每一个所述网络栅格内所对应的接收信号测量值区分每一个所述 网络栅格的室内业务数据和室外业务数据。 进一步的, 参见图 6 , 所述计算服务器 50还包括: 更新单元 506 , 用于设置更新周期;
所述门限值确定单元 503包括,
选取模块 5031 ,用于选取每一个所述网络栅格内小于对应网络栅格 的接收信号理论值的接收信号测量值;
计算模块 5032 ,用于计算每一个所述网络栅格内小于对应网络栅格 的接收信号理论值的接收信号测量值的平均值, 并分别减去预设的修正 值得到对应的每一个所述网络栅格的接收信号门限值。 或者, 选取模块 5031 , 用于选取每一个所述网络栅格内大于对应网 络栅格的接收信号理论值的接收信号测量值;
计算模块 5032 ,用于计算每一个所述网络栅格内大于对应网络栅格 的接收信号理论值的接收信号测量值的平均值, 并分别减去预设的修正 值得到对应的每一个所述网络栅格的接收信号门限值。
以上两种情况均能确定每一个网络栅格的接收信号门限值, 只是得 到的精度不同而已。 下面以接收信号为 RSCP时, 以第一种情况为例进 行具体说明。
示例性的, 计算服务器 50可以预先设置网络服务小区的传播模型, 实际应用中, 由于各省、 市的无线传播环境千差万别, 例如, 处于丘陵 地区的城市与处于平原地区的城市相比, 其传播环境有 艮大不同, 所以 两者的传播模型也会存在较大差异。 因此, 优选的, 网络服务小区的传 播模型可以结合地形、 地貌、 建筑物、 植被等参数的影响进行确定。
根据传播模型, 可以获取网络服务小区每一个网络栅格内的 RSCP 理论值, 示例性的, 计算其中一个特定的网络栅格的 RSCP 理论值时, 根据网络栅格的编号可以确定网络栅格归属的主服务小区, 进而可以得 到主服务小区的 RSCP发射值, 利用主服务小区的 RSCP发射值和主服 务小区到该网络栅格的距离,根据传播模型可以计算得到该栅格的 RSCP 理论值。 另外, 根据计算服务器的计算能力和储存能力, 每一个网络栅 格的 RSCP理论值可以预先计算得到并储存, 也可以实时计算。
优选的, 选取模块 5031根据更新单元 506设置的更新周期, 在每 个更新周期内选取所述每一个网络栅格内在对应更新周期内的所有小 于所述 RSCP理论值的 RSCP测量值。
以第一网络栅格为例, 第一网络栅格在一个更新周期内业务数据表 示为 {业务数据 11 , 业务数据 12 , 业务数据 13 , 业务数据 14 , …… } , 据此, 可以得到第一网络栅格在一个更新周期内的业务数据中的 RSCP 测量值, {RSCP 11 , RSCP 12 , RSCP 13 , RSCP 14 , …… } , 将该集合中 RSCP测量值分别与第一网络栅格中的 RSCP理论值比较, 得到所有比 第一网络栅格中的 RSCP理论值小的 RSCP测量值, 同理, 可以选取其 他网络栅格内所有比对应网络栅格中的 RSCP理论值小的 RSCP测量值。 优选的, 计算模块 5032根据更新单元 506设置的更新周期, 将所 述每一个网络栅格内的每个更新周期内的平均值分别减去预设的修正 值得到对应的每一个网络栅格的每个更新周期内的 RSCP门限值。
以第一网络栅格为例进行说明, 计算模块 5032 将计算所得的一个 更新周期内所有比第一网络栅格中的 RSCP理论值小的 RSCP测量值的 平均值减去预设的修正值得到第一网络栅格在该更新周期内的 RSCP门 限值。 其中, 预设的修正值可以为深圳地区的建筑物穿透损耗值, 优选 的, 因为门限值是利用比 RSCP理论值小的所有 RSCP测量值的平均值 减去修正值得到的, 所以, 该门限值可以小于深圳地区的建筑物穿透损 耗值。
同理, 可以求取其他网络栅格内所有对应网络栅格在该更新周期内 的 RSCP门限值。
示例性的, 若第一网络栅格内所有 RSCP测量值均不小于所述第一 网络栅格内的 RSCP理论值, 则将所述第一网络栅格内的 RSCP理论值 减去预设的修正值得到第一网络栅格的 RSCP门限值。 分布图生成单元 505 , 用于根据所述每一个所述网络栅格的室内业 务数据和室外业务数据分别生成所述网络服务小区的室内业务分布图 和室外业务分布图。 示例性的, 门限值确定单元 503确定每一个网络栅格在一个特定更 新周期内的 RSCP门限值后,区分单元 504利用每一个业务数据的 RSCP 测量值与对应网络栅格内的 RSCP门限值比较即可区分每一个业务数据 属于室内业务数据还是室外业务数据。
示例性的, 在特定周期内, 区分单元 504 统计每一个栅格网络中 RSCP测量值大于对应网络栅格的 RSCP 门限值的业务数据作为室外业 务数据,统计每一个栅格网络中 RSCP测量值小于对应网络栅格的 RSCP 门限值的业务数据作为室内业务数据。 分布图生成单元 505用于分别根据室内业务数据和室内业务数据生 成室内业务分布图和室外业务分布图。
示例性的, 根据特定周期内的室外业务数据和室内业务数据分别绘 制该特定周期内的室外业务分布图和室内业务分布图。
根据多个连续更新周期内的室外业务分布图和室内业务分布图可 以业务分布的趋势进行和室内业务分布趋势分别进行分析。 本发明实施例提供的室内外业务数据的区分设备, 根据室内业务数 据和室外业务数据接收信号的差异, 利用统计的方法确定室内外业务数 据的门限, 进而将室内 MR数据和室外 MR数据有效分离出来, 实现室 内热点和室外热点的分离, 进而实现根据室内热点和室外热点选择相应 的扩容技术。
本领域技术人员可以理解附图只是一个优选实施例的示意图, 附 图中的模块或流程并不一定是实施本发明所必须的。
本领域技术人员可以理解实施例中的装置中的模块 /单元只是为了 能够更好的表达具有该功能的逻辑的实体或者物理的实体, 并不限于实 施例所述的名称限定,实施例中的装置中的模块 /单元可以按照实施例描 述进行分布于实施例的装置中, 也可以进行相应变化位于不同于本实施 例的一个或多个装置中。 上述实施例的模块可以合并为一个模块, 也可 以进一步拆分成多个子模块。 上述本发明实施例序号仅仅为了描述, 不 代表实施例的优劣。 权利要求的内容记载的方案也是本发明实施例的保 护范围。
本领域普通技术人员可以理解: 实现上述方法实施例的全部或部分 步骤可以通过程序指令相关的硬件来完成, 前述的程序可以存储于一计 算机可读取存储介质中, 该程序在执行时, 执行包括上述方法实施例的 步骤; 而前述的存储介质包括: ROM、 RAM, 磁碟或者光盘等各种可 以存储程序代码的介质。
以上所述, 仅为本发明的具体实施方式, 但本发明的保护范围并不 局限于此, 任何熟悉本技术领域的技术人员在本发明揭露的技术范围内, 可轻易想到变化或替换, 都应涵盖在本发明的保护范围之内。 因此, 本 发明的保护范围应以所述权利要求的保护范围为准。

Claims

权 利 要 求 书
1、 一种室内外业务数据的区分方法, 其特征在于, 包括: 获取网络服务小区的业务数据, 每一个所述业务数据包含接收信号测 量值及定位信息; 根据所述业务数据的定位信息将每一个所述业务数据对应到一个网 络栅格;
根据每一个所述网络栅格内所对应的接收信号测量值以及对应的每 一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收信 号门限值, 其中, 所述网络栅格的接收信号理论值为根据传播模型获取的 所述网络栅格内的接收信号值; 根据每一个所述网络栅格的接收信号门限值和对应的每一个所述网 络栅格内所对应的接收信号测量值区分每一个所述网络栅格的室内业务 数据和室外业务数据。
2、 根据权利要求 1所述的室内外业务数据的区分方法, 其特征在于, 所述根据每一个所述网络栅格内所对应的接收信号测量值以及对应的每 一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收信 号门限值, 包括:
选取每一个所述网络栅格内小于对应网络栅格的接收信号理论值的 接收信号测量值;
计算每一个所述网络栅格内小于对应网络栅格的接收信号理论值的 接收信号测量值的平均值, 并分别减去预设的修正值得到对应的每一个所 述网络栅格的接收信号门限值。
3、 根据权利要求 1或 2所述的室内外业务数据的区分方法, 其特征 在于, 所述根据每一个所述网络栅格内所对应的接收信号测量值以及对应 的每一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接 收信号门限值, 还包括: 若第一网络栅格内所对应的接收信号测量值均不小于所述第一网络 栅格内的接收信号理论值, 则将所述第一网络栅格内的接收信号理论值减 去预设的修正值得到所述第一网络栅格的接收信号门限值。
4、 根据权利要求 1所述的室内外业务数据的区分方法, 其特征在于, 所述根据每一个所述网络栅格内所对应的接收信号测量值以及对应的每 一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收信 号门限值, 包括:
选取每一个所述网络栅格内大于对应网络栅格的接收信号理论值的 接收信号测量值;
计算每一个所述网络栅格内大于对应网络栅格的接收信号理论值的 接收信号测量值的平均值, 并分别减去预设的修正值得到对应的每一个所 述网络栅格的接收信号门限值。
5、 根据权利要求 1或 4所述的室内外业务数据的区分方法, 其特征 在于, 所述根据每一个所述网络栅格内所对应接收信号测量值以及对应的 每一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收 信号门限值, 还包括:
若第二网络栅格内所有接收信号测量值均不大于所述第一网络栅格 内的接收信号理论值, 则将所述第二网络栅格内的接收信号理论值减去预 设的修正值得到所述第二网络栅格的接收信号门限值。
6、 根据权利要求 1-5 任一项所述的室内外业务数据的区分方法, 其 特征在于, 所述预设的修正值为所述网络服务小区所在地区的建筑物穿透 损耗值。
7、 根据权利要求 1-6 任一项所述的室内外业务数据的区分方法, 其 特征在于, 所述方法还包括: 根据所述每一个所述网络栅格的室内业务数据和室外业务数据分别 生成所述网络服务小区的室内业务分布图和室外业务分布图。
8、 根据权利要求 1所述的室内外业务数据的区分方法, 其特征在于, 所述方法还包括设置更新周期, 相应的, 所述获取网络服务小区的业务数据, 包括:根据所述设置的更新周期, 获取每个更新周期内网络服务小区的业务数据; 所述根据每一个所述网络栅格内所对应接收信号测量值以及对应的 每一个所述网络栅格的接收信号理论值确定每一个所述网络栅格的接收 信号门限值, 包括: 根据所述设置的更新周期, 根据每一个所述网络栅格 在每个更新周期内所对应的接收信号测量值以及对应的每一个所述网络 栅格的接收信号理论值确定每一个所述网络栅格在每个更新周期内的接 收信号门限值; 所述根据每一个所述网络栅格的接收信号门限值和对应的每一个所 述网络栅格内所对应的接收信号测量值区分每一个所述网络栅格的室内 业务数据和室外业务数据, 包括: 根据所述设置的更新周期, 在每个更新 周期内根据每一个所述网络栅格的接收信号门限值和对应的每一个所述 网络栅格内所对应的接收信号测量值区分每一个所述网络栅格的室内业 务数据和室外业务数据。
9、 一种室内外业务数据的区分设备, 其特征在于, 包括: 获取单元, 用于获取网络服务小区的业务数据, 每一个所述业务数据 包含接收信号码域功率接收信号测量值及定位信息;
对应单元, 用于根据所述业务数据的定位信息将每一个所述业务数据 对应到一个网络栅格; 门限值确定单元, 用于根据每一个所述网络栅格内所对应的接收信号 测量值以及对应的每一个所述网络栅格的接收信号理论值确定每一个所 述网络栅格的接收信号门限值, 其中, 所述网络栅格的接收信号理论值为 根据传播模型获取的所述网络栅格内的接收信号值; 区分单元, 用于根据每一个所述网络栅格的接收信号门限值和对应的 每一个所述网络栅格内所对应的接收信号测量值区分每一个所述网络栅 格的室内业务数据和室外业务数据。
10、根据权利要求 9所述的室内外业务数据的区分设备,其特征在于, 所述门限值确定单元, 包括:
选取模块, 用于选取每一个所述网络栅格内小于对应网络栅格的接收 信号理论值的接收信号测量值;
计算模块, 用于计算每一个所述网络栅格内小于对应网络栅格的接收 信号理论值的接收信号测量值的平均值, 并分别减去预设的修正值得 'J对 应的每一个所述网络栅格的接收信号门限值。
11、 根据权利要求 9或 10所述的室内外业务数据的区分设备, 其特 征在于, 所述选取模块还用于: 当所述选取模块确定第一网络栅格内所对 应的接收信号测量值均不小于所述第一网络栅格内的接收信号理论值后, 将所述第一网络栅格内的接收信号理论值减去预设的修正值得到所述第 一网络栅格的接收信号门限值。
12、根据权利要求 9所述的室内外业务数据的区分设备,其特征在于, 所述门限值确定单元, 包括:
选取模块, 用于选取每一个所述网络栅格内大于对应网络栅格的接收 信号理论值的接收信号测量值;
计算模块, 用于计算每一个所述网络栅格内大于对应网络栅格的接收 信号理论值的接收信号测量值的平均值, 并分别减去预设的修正值得 'J对 应的每一个所述网络栅格的接收信号门限值。
13、 根据权利要求 9或 12所述的室内外业务数据的区分设备, 其特 征在于, 所述选取模块还用于: 当所述选取模块确定第二网络栅格内所对 应的接收信号测量值均不大于所述第二网络栅格内的接收信号理论值后, 将所述第二网络栅格内的接收信号理论值减去预设的修正值得到所述第 二网络栅格的接收信号门限值。
14、 根据权利要求 9- 13 任一项所述的室内外业务数据的区分方法, 其特征在于, 所述预设的修正值为所述网络服务小区所在地区的建筑物穿 透损耗值。
15、 根据权利要求 9- 14 任一项所述的室内外业务数据的区分设备, 其特征在于, 所述设备还包括: 分布图生成单元, 用于根据所述每一个所述网络栅格的室内业务数据 和室外业务数据分别生成所述网络服务小区的室内业务分布图和室外业 务分布图。
16、根据权利要求 9所述的室内外业务数据的区分设备,其特征在于, 还包括更新单元, 用于设置更新周期;
所述获取单元用于, 根据所述更新单元中所设置的更新周期, 获取每 个更新周期内网络服务小区的业务数据; 所述门限值确定单元用于, 根据所述更新单元中所设置的更新周期, 根据每一个所述网络栅格在每个更新周期内所对应的接收信号测量值以 及对应的每一个所述网络栅格的接收信号理论值确定每一个所述网络栅 格在每个更新周期内的接收信号门限值;
所述区分单元用于, 根据所述更新单元中所设置的更新周期, 在每个 更新周期内根据每一个所述网络栅格的接收信号门限值和对应的每一个 所述网络栅格内所对应的接收信号测量值区分每一个所述网络栅格的室 内业务数据和室外业务数据。
PCT/CN2012/077484 2012-06-18 2012-06-25 一种室内外业务数据的区分方法及设备 WO2013189089A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201210201752.5A CN102769866B (zh) 2012-06-18 2012-06-18 一种室内外业务数据的区分方法及设备
CN201210201752.5 2012-06-18

Publications (1)

Publication Number Publication Date
WO2013189089A1 true WO2013189089A1 (zh) 2013-12-27

Family

ID=47097088

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2012/077484 WO2013189089A1 (zh) 2012-06-18 2012-06-25 一种室内外业务数据的区分方法及设备

Country Status (2)

Country Link
CN (1) CN102769866B (zh)
WO (1) WO2013189089A1 (zh)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105744561B (zh) * 2016-03-07 2019-05-10 四川亨通网智科技有限公司 多维度测量报告室内外分离方法
CN107438251B (zh) * 2016-05-25 2021-08-24 中兴通讯股份有限公司 一种用于室内外用户区分的方法和装置
CN107580337B (zh) * 2016-07-05 2022-05-13 中兴通讯股份有限公司 一种热点区域识别方法和装置
CN109429242B (zh) * 2017-08-21 2021-11-23 中国移动通信集团广西有限公司 一种mr数据室内外分离方法及设备
CN109996276B (zh) * 2017-12-29 2022-06-10 中国移动通信集团四川有限公司 网络话务定位评估方法、装置、设备及介质
CN116980826A (zh) * 2022-03-30 2023-10-31 中兴通讯股份有限公司 室内外终端的区分方法、装置和存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101790189A (zh) * 2009-12-29 2010-07-28 广州杰赛科技股份有限公司 一种移动台定位的方法
CN101888640A (zh) * 2010-07-09 2010-11-17 广州杰赛科技股份有限公司 一种城市移动台定位方法
CN101924990A (zh) * 2009-06-16 2010-12-22 株式会社Ntt都科摩 室内外判定装置及室内外判定方法
CN102196457A (zh) * 2010-03-12 2011-09-21 中国移动通信集团公司 室内外联合覆盖的方法和装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101924990A (zh) * 2009-06-16 2010-12-22 株式会社Ntt都科摩 室内外判定装置及室内外判定方法
CN101790189A (zh) * 2009-12-29 2010-07-28 广州杰赛科技股份有限公司 一种移动台定位的方法
CN102196457A (zh) * 2010-03-12 2011-09-21 中国移动通信集团公司 室内外联合覆盖的方法和装置
CN101888640A (zh) * 2010-07-09 2010-11-17 广州杰赛科技股份有限公司 一种城市移动台定位方法

Also Published As

Publication number Publication date
CN102769866A (zh) 2012-11-07
CN102769866B (zh) 2015-07-29

Similar Documents

Publication Publication Date Title
CN106572495B (zh) 基于信令和mr数据的网络质量监测方法和覆盖评估方法
CN110831019B (zh) 基站规划方法、装置、计算机设备和存储介质
KR101440836B1 (ko) 무선랜 신호를 이용한 측위 오차 판별 방법 및 장치
KR101565350B1 (ko) 무선 네트워크의 커버리지 영역에서 동작 파라미터를 매핑시키기 위한 방법 및 장치
Margolies et al. Can you find me now? Evaluation of network-based localization in a 4G LTE network
CN109246592B (zh) 一种用户终端位置信息的获取方法及装置
US10925029B2 (en) Wi-Fi access point-based positioning method and device
US8478280B1 (en) Minimum coverage area of wireless base station determination
Pandey et al. A survey on localization techniques for wireless networks
US20130235749A1 (en) Method device and system for estimating access points using log data
WO2013189089A1 (zh) 一种室内外业务数据的区分方法及设备
CN108351421A (zh) 移动网络中的定位方法、基站和移动终端
US20150038160A1 (en) Methods and apparatus to determine a base station location
WO2013091580A1 (zh) 利用无线信号来定位的方法和定位服务器
US20140274149A1 (en) System and Method for Localizing Wireless Devices
EP2664167B1 (en) Nodes and methods for positioning
KR20140022695A (ko) 전파 환경 정보를 이용한 측위 방법 및 장치
Bao et al. An improved DV-Hop localization algorithm for wireless sensor networks
KR101960288B1 (ko) 저전력 광역 통신망 환경에서 wlan 기반의 측위 기법을 제공하기 위한 시스템 및 방법
KR20120005192A (ko) 무선랜 전파 환경 맵을 이용한 ap 위치 추정 방법 및 장치
CN108200584B (zh) 一种待建wlan站点的筛选方法及装置
CN102036374B (zh) 单基站移动终端定位方法及装置
KR101476118B1 (ko) 신호세기 가중 평균을 이용한 ap 위치 추정 방법과 그를 위한 장치 및 컴퓨터로 읽을 수 있는 기록매체
JP2011158460A (ja) 屋内の検出に基づいて無線端末の位置を推定するための検索エリア削減
Shakir et al. LTE geolocation based on measurement reports and timing advance

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12879455

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12879455

Country of ref document: EP

Kind code of ref document: A1