WO2017202144A1 - Procédé et appareil permettant de distinguer des utilisateurs intérieurs et extérieurs, et support de stockage - Google Patents

Procédé et appareil permettant de distinguer des utilisateurs intérieurs et extérieurs, et support de stockage Download PDF

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WO2017202144A1
WO2017202144A1 PCT/CN2017/079316 CN2017079316W WO2017202144A1 WO 2017202144 A1 WO2017202144 A1 WO 2017202144A1 CN 2017079316 W CN2017079316 W CN 2017079316W WO 2017202144 A1 WO2017202144 A1 WO 2017202144A1
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sample data
user
outdoor
indoor
data set
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PCT/CN2017/079316
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English (en)
Chinese (zh)
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李益刚
李孜
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中兴通讯股份有限公司
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H04W16/20—Network planning tools for indoor coverage or short range network deployment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Definitions

  • the present invention relates to wireless communication technologies, and in particular, to a method, an apparatus, and a storage medium for distinguishing between indoor and outdoor users.
  • the user equipment measures the downlink signal sent by the base station side, and sends the downlink measurement result to the base station; and the base station side also performs the uplink signal of the UE. Measurement, power control and switching of the UE according to the uplink signal measurement result and the downlink signal measurement result.
  • MR Measurement Report
  • distinguishing between indoor and outdoor users can solve the problem of how to accurately identify the deep coverage that operators are very concerned about, and use this as a basis to formulate a precise station addition scheme. If it is indoor weak coverage, it is recommended to add a sub-station; if it is an outdoor weak coverage It is recommended to add an outdoor station.
  • the indoor cell basically covers only the indoor user, when the serving cell of the user is an indoor cell, it can be easily determined that the MR data of the user is an indoor user. But when the user's service is small When the area is an outdoor cell, the existing technology cannot determine whether the user belongs to an indoor user or an outdoor user.
  • the embodiment of the present invention is to provide a method, a device, and a storage medium for distinguishing between indoor and outdoor users.
  • the serving cell of the user is an outdoor cell, it can be determined whether the user belongs to an indoor user or an outdoor user.
  • an embodiment of the present invention provides a method for distinguishing between indoor and outdoor users, where the method includes:
  • each MR sample data in each MR sample data set is in direction
  • the resulting antenna horizontal gain is lower than a preset gain threshold
  • the sorted MR data is marked according to the number of indoor users and the number of outdoor users in each MR sample data set.
  • each MR sample data of the serving cell corresponds to one UE, and each MR sample data may include: a timestamp, a cell identifier of the serving cell, a receiving cell strength of the serving cell, and a reference signal receiving power (RSRP).
  • RSRP reference signal receiving power
  • Reference Signal Receiving Power for the characterization quantity, the reception quality of the serving cell, and the reference signal reception quality (RSRQ, Reference Signal Receiving Quality) is a characterization amount, a timing advance (TA, Timing Advanced), a direction parameter of a serving cell, and an indication of an antenna-arrival angle (AOA, Angle-of-Arrival) or an RSRP strongest neighboring cell.
  • the acquiring the corresponding MR sample data distribution relationship for each MR sample data set may include:
  • each MR sample data set For each MR sample data set, all MR sample data in the set are counted according to the received field strength, and a statistical distribution map corresponding to each MR sample data set and a corresponding statistical curve are obtained.
  • the number of indoor users and the number of outdoor users in each MR sample data set are obtained through a preset fitting algorithm and the MR sample data distribution relationship, including:
  • the indoor user statistical curve is iterated by the first parameter and the second parameter, and the outdoor user statistical curve is iterated by the first parameter and the third parameter simultaneously. After the preset round iteration, the iterative round corresponding to the smallest error is selected.
  • the number of indoor users and the number of outdoor users in the MR sample data set are obtained according to the indoor user statistical curve corresponding to the iterative round with the smallest error and the outdoor user statistical curve.
  • the first user parameter and the second parameter are used to iterate the indoor user statistical curve, and the outdoor user statistical curve is iterated by the first parameter and the third parameter, and after the preset round iteration, the selection is performed.
  • the indoor user statistical curve corresponding to the iterative round with the smallest error and the outdoor user statistical curve including:
  • the error of each RSRP interval is accumulated to obtain the total error of the current iteration number; and the indoor user statistical curve corresponding to the iteration number with the smallest total error and the outdoor user statistical curve are selected.
  • the indoor user statistical curve and the outdoor user statistical curve corresponding to the iterative round with the smallest error are obtained, and the number of indoor users and the number of outdoor users in the MR sample data set are obtained, including:
  • the temporary indoor user MR sample data Temp indoor Count (RSRP) and the temporary outdoor user MR sample data Temp outdoor Count (RSRP) corresponding to each RSRP interval are obtained according to the indoor user statistical curve corresponding to the minimum number of iterations of the total error and the outdoor user statistical curve.
  • RSRP RSRP
  • each RSRP based on the MR sample ratio of the indoor user in each RSRP interval and the MR sample ratio of the outdoor user and the sample size of each RSRP interval in the MR sample data set The number of indoor user MR sample data and the number of outdoor user MR sample data.
  • the MR data in each MR sample data set is sorted according to a preset sorting rule, including:
  • the MR data in each MR sample data set is divided according to the reception intensity RSRP interval, and is sorted according to the TA from small to large in each divided RSRP interval; and when the TA is the same, according to the reception quality RSRQ from large to small Sort.
  • the sorted MR data is marked according to the number of indoor users and the number of outdoor users in each MR sample data set, including:
  • the number of indoor user MR sample data Count intdoor (RSRP) MR data is sequentially selected as an indoor user; the reverse order is selected as an outdoor user MR sample data count outdoor (RSRP) The MR data is marked as an outdoor user.
  • an embodiment of the present invention provides a device for distinguishing between indoor and outdoor users, where the device includes: a dividing module, a first acquiring module, a second acquiring module, a sorting module, and a marking module;
  • the dividing module is configured to divide the MR sample data of the serving cell into at least one MR sample data set according to a preset direction dividing policy; wherein the serving cell is an outdoor cell; each of the MR sample data sets The antenna horizontal gain due to the direction between the MR sample data is lower than a preset gain threshold;
  • the first acquiring module is configured to acquire a corresponding MR sample data distribution relationship for each MR sample data set
  • the second obtaining module is configured to acquire the number of indoor users in each MR sample data set and the outdoor by using a preset fitting algorithm and the MR sample data distribution relationship according to the distribution property of the indoor user and the outdoor user. amount of users;
  • the sorting module is configured to sort the MR data in each MR sample data set according to a preset sorting rule
  • the marking module is configured to mark the sorted MR data according to the number of indoor users and the number of outdoor users in each MR sample data set.
  • each MR sample data of the serving cell corresponds to one UE, and each MR sample data may include: a timestamp, a cell identifier of the serving cell, a receiving cell strength of the serving cell, and a representation of the RSRP.
  • the receiving quality of the cell is characterized by the RSRQ, the TA, and the direction parameter of the serving cell, and the identity of the neighboring cell with the strongest AOA or RSRP is taken as the characterization.
  • the first acquiring module is configured to collect statistics on the number of samples of all MR sample data in the set according to the received field strength for each MR sample data set, and obtain statistics corresponding to each MR sample data set. Distribution map and corresponding statistical curve.
  • the second acquiring module is configured to acquire a first parameter corresponding to the MR sample data distribution relationship
  • the first user parameter and the second parameter are used to iterate the indoor user statistical curve, and the outdoor user statistical curve is iterated by the first parameter and the third parameter simultaneously, and after the preset round iteration, the iterative wheel with the smallest error is selected.
  • the number of indoor users and the number of outdoor users in the MR sample data set are obtained according to the indoor user statistical curve corresponding to the iterative round with the smallest error and the outdoor user statistical curve.
  • the second acquiring module is configured to:
  • the error of each RSRP interval is accumulated to obtain the total error of the current iteration number; and the indoor user statistical curve corresponding to the iteration number with the smallest total error and the outdoor user statistical curve are selected.
  • the second acquiring module is configured to:
  • the temporary indoor user MR sample data Temp indoor Count (RSRP) and the temporary outdoor user MR sample data Temp outdoor Count (RSRP) corresponding to each RSRP interval are obtained according to the indoor user statistical curve corresponding to the minimum number of iterations of the total error and the outdoor user statistical curve.
  • RSRP RSRP
  • the sorting module is configured to:
  • the MR data in each MR sample data set is divided according to the reception intensity RSRP interval, and is sorted according to the TA from small to large in each divided RSRP interval; and when the TA is the same When sorting, the receiving quality RSRQ is sorted from large to small.
  • the marking module is configured to:
  • the number of indoor user MR sample data Count intdoor (RSRP) MR data is sequentially selected as an indoor user; the reverse order is selected as an outdoor user MR sample data count outdoor (RSRP) The MR data is marked as an outdoor user.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a computer program configured to perform the above method for distinguishing indoor and outdoor users according to an embodiment of the present invention.
  • Embodiments of the present invention provide a method, device, and storage medium for distinguishing indoor and outdoor users; curve fitting technology, which distinguishes the number of indoor and outdoor sample points in each MR sample point of each receiving field strength region, thereby When the user's serving cell is an outdoor cell, indoor and outdoor users can be distinguished from the system side of the mobile communication network.
  • FIG. 1 is a schematic diagram 1 of an application scenario according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram 2 of an application scenario according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram 3 of an application scenario according to an embodiment of the present disclosure.
  • FIG. 4 is a statistical diagram of MR data distribution according to an embodiment of the present invention.
  • FIG. 5 is a schematic flowchart of a method for distinguishing indoor and outdoor users according to an embodiment of the present disclosure
  • FIG. 6 is a schematic diagram of dividing a serving cell according to an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of a statistical distribution according to an embodiment of the present invention.
  • FIG. 8 is a schematic flowchart of acquiring the number of indoor users and the number of outdoor users according to an embodiment of the present invention.
  • FIG. 9 is a schematic flowchart of selecting a minimum indoor user statistical curve and an outdoor user statistical curve according to an embodiment of the present invention.
  • FIG. 10 is a schematic diagram of obtaining the number of indoor users in an MR sample data set according to an embodiment of the present invention Schematic diagram of the number of outdoor users;
  • FIG. 11 is a schematic diagram of an indoor user differentiation principle according to an embodiment of the present invention.
  • FIG. 12 is a schematic structural diagram of an apparatus for distinguishing indoor and outdoor users according to an embodiment of the present invention.
  • the specific indoor user receives the received field strength from the outdoor serving cell, and the difference between the received field strength from the same outdoor serving cell received by the outdoor user that is the same or similar to the indoor user location, mainly from the indoor user Penetration loss of the building in which it is located.
  • FIG. 1 after the external field is measured, when the indoor user A and the outdoor user B are close to each other, the indoor user A is usually 10 to 20 dB lower than the receiving field strength of the outdoor user B.
  • RSRP is used as the Receive the field strength characterization, and set the penetration loss of the building to 15dB.
  • the indoor user A has a time advance of 2 and the RSRP is -100dB.
  • the outdoor user B has a TA of 2 and the RSRP is -85dB. .
  • the base station can measure and report the AOA, that is, the angle between the normal direction of the UE and the base station antenna. . Therefore, in a scenario where a smart antenna is installed, the TDD-LTE base station can use the AOA to determine whether directions between different users and the serving cell are the same or similar;
  • the MR can report the neighboring neighbors of the serving cell.
  • the frequency of the zone and the PCI, and the RSRP of the neighboring cell, and among all neighboring cells around the serving cell, the neighboring cell with the strongest RSRP can approximately identify the direction of the UE.
  • the neighboring cell with the strongest RSRP of UE1 may be NCell1.
  • the neighboring cells with the strongest RSRP of UE2, UE3, and UE4 may be NCell2, NCell3, and NCell4.
  • the serving cell may utilize the strongest neighboring cell of the RSRP to determine whether the direction between different UEs and the serving cell is close.
  • the current antennas basically have zero-filling technology, the difference in antenna vertical gain caused by the difference from the base station to the position where the antenna falls in the vertical direction, that is, the position closer to the base station, is relatively small. Therefore, it can be obtained that the receiving field strength difference of different UEs in the same or similar direction mainly comes from the path loss difference caused by the difference in distance from the base station; that is, the closer the distance to the base station, the stronger the receiving field strength of the UE is. The farther away from the base station, the weaker the receiving field strength of the UE.
  • one TA is about 78 meters. Therefore, when the indoor user A is equal to the TA of the outdoor user B, only the TA cannot be used to distinguish the indoor and outdoor users.
  • the third point derivation knowledge can be known.
  • the indoor user A tends to be closer to the serving cell than the outdoor user B. Therefore, the distance between the indoor user A and the neighboring cell of the serving cell is relatively farther than that of the outdoor user B, so the indoor user A is surrounded by the neighboring cell of the serving cell.
  • the interference is smaller than that of the outdoor user B, so that it can be known that the reference RSRQ of the indoor user A is more likely to be better than the outdoor user B.
  • an MR distribution statistical graph with RSRP as the horizontal axis and MR sample points as the vertical axis is usually generated, and the highest point of each RSRP sample point axis in the figure can be connected.
  • a MR profile is formed.
  • the quantity is also close, so the distribution curve characteristics of the indoor user and the outdoor user under the specific service cell are basically the same.
  • the distribution curve of the statistical sample points in the specific serving cell by RSRP is composed of two indoor users and outdoor users with the same curve shape characteristics.
  • the distribution curve of the MR sample points is superimposed in units of RSRP. As shown in FIG. 4, in the distribution diagram shown in FIG. 4, the solid line indicates that the indoor users and outdoor users of a specific outdoor service cell are in RSRP units.
  • the distribution curve of the MR sample points is counted; the dotted line is the distribution curve of the MR sample points by the outdoor users of the specific outdoor serving cell in units of RSRP; the dotted line is the number of MR sample points for the indoor users of the specific outdoor serving cell in units of RSRP Distribution curve.
  • the indoor user is about 10-20 dB lower than the outdoor user RSRP, so the width of the indoor and outdoor curves of the specific serving cell is 10-20 dB smaller than the width of the overall distribution curve of the specific cell;
  • the indoor curve of a specific serving cell has no sample points in the range of 10-20 dB on the higher side of the RSRP value of the overall distribution curve of the specific serving cell; similarly, the RSRP of the outdoor user curve of the specific serving cell in the overall distribution curve of the specific serving cell There is no sample point in the range of 10-20 dB on the lower side of the value; therefore, the indoor user distribution curve is aligned on the lowest side of the RSRP axis with the RSRP axis of the RSRP axis of the specific serving cell; at the same time, the outdoor user The RSRP highest side of the RSRP axis of the distribution curve is aligned with the RSRP highest side of the RSRP axis of the overall serving cell overall distribution curve.
  • the time for a particular user to move indoors is generally greater than the time for outdoor activities. Therefore, under normal circumstances, within a certain statistical period, there are more indoor users in a specific service area than outdoor users. Therefore, under normal circumstances, the indoor user distribution curve height of a specific service cell is higher than the height of the outdoor user distribution curve of a specific cell.
  • the serving cell is an outdoor cell
  • the number of indoor and outdoor sample points in the MR sample points of each receiving field strength zone is distinguished, so that indoor and outdoor users can be distinguished from the system side of the mobile communication network.
  • the method may be applied to a system side of a mobile communication network, and the method may include:
  • S501 The MR sample data of the serving cell is divided into at least one MR sample data set according to a preset direction division policy.
  • the serving cell is an outdoor cell; the antenna horizontal gain due to the direction between each MR sample data in each MR sample data set is lower than a preset gain threshold; understandably, the gain threshold is used to characterize each MR The difference in antenna level gain due to the direction can be ignored between the MR sample data in the sample data set.
  • S502 Acquire a corresponding MR sample data distribution relationship for each MR sample data set.
  • S503 According to the distribution property of the indoor user and the outdoor user, obtain the number of indoor users and the number of outdoor users in each MR sample data set by using a preset fitting algorithm and the MR sample data distribution relationship.
  • S504 Sort the MR data in each MR sample data set according to a preset sorting rule.
  • S505 Mark the sorted MR data according to the number of indoor users and the number of outdoor users in each MR sample data set.
  • each MR sample data set are known by the distributed nature of the indoor user and the outdoor user; then each MR sample data is obtained. After the MR data in the set is sorted, each MR sample data is marked according to the number of indoor users and the number of outdoor users in the set, thereby realizing distinction between indoor users and outdoor users in the serving cell.
  • each MR sample data of the serving cell may correspond to one UE, and each MR sample data may include: a timestamp, a cell identifier of the serving cell, and a receiving cell strength of the serving cell, and the RSRP is Characterization quantity, reception quality of serving cell, based on RSRQ
  • the directional parameter of the levy, TA, and serving cell is characterized by the identity of the neighbor cell with the strongest AOA or RSRP.
  • the direction parameter of the AOA is taken as an example.
  • the MR sample data of the serving cell is divided into at least one MR sample data set according to a preset direction division policy, and the M-degree of the AOA can be adopted.
  • the range is a unit, and the MR sample data of the serving cell is divided into a plurality of directional MR sample data sets.
  • M can take 30 degrees.
  • the serving cell is divided into four MR data sets in units of 30 degrees.
  • step S502 for each MR sample data set, obtaining a corresponding MR sample data distribution relationship includes:
  • each MR sample data set For each MR sample data set, all MR sample data in the set are counted according to the received field strength, and a statistical distribution map corresponding to each MR sample data set and a corresponding statistical curve are obtained.
  • the statistical distribution map and the statistical curve are specific representations of the distribution relationship of the MR sample data, as shown in Fig. 7.
  • the statistical distribution map is a histogram, and the statistical curve is shown by the solid line in FIG.
  • the number of indoor users in each MR sample data set is obtained through a preset fitting algorithm and MR sample data distribution relationship.
  • the number of outdoor users can include:
  • the ratio of the number of MR sample points of each receiving field strength interval to MaxCount is MaxCountRate.
  • RSRP is used as the characterization of the received field strength.
  • the relationship matrix between RSRP and Count and MaxCountRate is as shown in Table 1.
  • the Count value corresponding to the non-integer RSRP is obtained according to Equation 2.
  • S5032 Acquire an MR sample data set of an indoor user in the MR sample data set according to a distribution property of the indoor user, and acquire a second parameter of the MR sample data set of the indoor user.
  • the first threshold interval N1 min and N1 max may also satisfy N1 min ⁇ RSRPNUM-RSRPNUM indoor ⁇ N1 max ; the second threshold interval may also be set.
  • N2 min and N2 max and such that N2 min ⁇ MaxCount indoor Rate ⁇ N2 max;
  • each RSRP indoor interval corresponding to the statistical curve f′ (RSRP) of the indoor user can be calculated.
  • the position RSRP' of the relative value of the RSRP interval of the statistical curve of the MR sample data set; in an embodiment, RSRP' can be obtained by Equation 3:
  • RSRP' MINRSRP+(RSRP indoor -MinRSRP indoor )/RSRPNUM indoor ⁇ RSRPNUM(3)
  • int(RSRP') According to the value of int(RSRP'), look up the corresponding int(RSRP') and int(RSRP')+1 of Count and MaxCountRate in Table 1, and substitute the relevant parameters into Equation 2 to get the f'(RSRP) function.
  • the RSRPindoor interval of the statistical curve corresponding to the indoor user described is the Count value of the corresponding RSRP interval in the statistical curve of the MR sample data set described by the f(RSRP) function, that is, Count (RSRP).
  • S5033 Obtain an MR sample data set of an outdoor user in the MR sample data set according to a distribution property of the outdoor user, and obtain a third parameter of the MR sample data set of the outdoor user;
  • the third threshold interval N3 min and N3 max may also satisfy N3 min ⁇ RSRPNUM-RSRPNUM outdoor ⁇ N3 max ; the fourth threshold interval may also be set.
  • the value can be modified according to the actual situation; and the value of the fourth threshold interval can be seen that the ratio of the height of the indoor user statistical curve to the height of the statistical curve of the MR sample data set is greater than the statistical curve of the outdoor user.
  • the ratio of the height to the height of the statistical curve of the MR sample data set namely: MaxCount indoor Rate>MaxCount outdoor Rate.
  • each RSRP outdoor section of the statistical curve of the outdoor user described by the f" (RSRP) function corresponds to the position RSRP" of the relative value of the RSRP section of the statistical curve of the MR sample data set is obtained by Equation 5:
  • RSRP' MINRSRP+(RSRP outdoor -MinRSRP outdoor )/RSRPNUM outdoor ⁇ RSRPNUM(5)
  • int(RSRP) According to the value of int(RSRP"), look up the corresponding int(RSRP") and int(RSRP")+1 Count and MaxCountRate in Table 1, and substitute the relevant parameters into Equation 2 to get the f"(RSRP) function.
  • the RSRP outdoor interval of the statistical curve corresponding to the outdoor user described is the Count value of the corresponding RSRP interval in the statistical curve of the MR sample data set described by the f(RSRP) function, that is, Count (RSRP).
  • step S5034 referring to FIG. 9, S50341 to S50346 may be included:
  • S50341 Acquire an RSRPNUM indoor and a maximum receiving field strength MaxRSRP indoor of the indoor user statistical curve corresponding to the current first iteration round x according to the first threshold interval;
  • Equation 7 RSRPNUM indoor :
  • RSRPNUM indoor RSRPNUM-N1 min -int[(x-1) ⁇ (N1 max -N1 min )/(X-1)](7)
  • the highest receiving field strength MaxRSRP indoor of the indoor user statistical curve corresponding to the current first iteration round x may be obtained according to Equation 8:
  • MaxRSRP indoor MinRSRP+RSRPNUM indoor -1(8).
  • S50342 Acquire, according to the third threshold interval, the number of received field strength intervals of the outdoor user statistical curve corresponding to the current first iteration round x, RSRPNUM outdoor and minimum receiving field strength MinRSRP indoor ;
  • RSRPNUM outdoor RSRPNUM-N3 min -int[(x-1) ⁇ (N3 max -N3 min )/(X-1)](9)
  • MinRSRP outdoor MaxRSRP+RSRPNUM outdoor -1(10).
  • S50343 Acquire, according to the second threshold interval, a ratio of the height of the indoor user curve corresponding to the current second iteration number y to the height of the statistical curve of the MR sample data set, MaxCount indoor Rate.
  • MaxCount indoor Rate N2 min +(y-1) ⁇ (N2 max -N2 min )/(Y-1)(11);
  • S50344 acquiring statistical curve height of the second segment iterations current y height of the curve corresponding to the MR user outside sample data set according to a fourth threshold ratio MaxCount outdoor Rate.
  • Equation 12 the ratio of the height of the outdoor user curve corresponding to the current second iteration number y to the height of the statistical curve of the MR sample data set MaxCount outdoor Rate can be obtained by Equation 12:
  • MaxCount outdoor Rate N4 min +(y-1) ⁇ (N4 max ⁇ N4 min )/(Y-1)(12).
  • S50345 Obtain the sum of the MR sample data of the indoor user in each RSRP interval of the current iteration number and the MR sample data quantity of the outdoor user, and subtract the number of MR samples corresponding to the RSRP interval in the statistical curve of the MR sample data set. Obtain the error for each RSRP interval.
  • S50346 Accumulate the error of each RSRP interval to obtain the total error of the current iteration number; and select the indoor user statistical curve corresponding to the number of iterations with the smallest total error and the outdoor user statistical curve.
  • S5035 Obtain the number of indoor users and the number of outdoor users in the MR sample data set according to the indoor user statistical curve corresponding to the iterative round with the smallest error and the outdoor user statistical curve.
  • step S5035 Can include:
  • S50351 Obtain the temporary indoor user MR sample data amount Temp indoor Count (RSRP) and the temporary outdoor user MR sample data amount Temp outdoor corresponding to each RSRP interval according to the indoor user statistical curve corresponding to the minimum number of iterations of the total error and the outdoor user statistical curve. Count (RSRP).
  • S50352 Obtain a MR sample ratio of each indoor user of the RSRP interval, Rate indoor (RSRP), and an outdoor user according to the Temp indoor Count (RSRP) and the temporary outdoor user MR sample data Temp outdoor Count (RSRP).
  • the MR sample ratio is Rate outdoor (RSRP).
  • the ratio of the MR samples of the indoor users in each RSRP interval may be:
  • the outdoor user's MR sample ratio can be
  • S50353 Obtain the number of indoor user MR sample data and the outdoor user MR sample in each RSRP interval according to the MR sample ratio of the indoor user in each RSRP interval and the MR sample ratio of the outdoor user and the sample number of each RSRP interval in the MR sample data set. The amount of data.
  • the sample number Count (RSRP) of each RSRP interval in the MR sample data set is multiplied by the MR sample ratio of the indoor user of each RSRP interval.
  • Rate indoor (RSRP) to obtain the MR sample of the indoor user of each RSRP interval.
  • the number of MR samples of the user is Count outdoor (RSRP);
  • the actual implementation process may further be: multiplying the sample number Count (RSRP) of each RSRP interval in the MR sample data set by the MR sample ratio of the outdoor user per RSRP interval Rate outdoor (RSRP) to obtain each RSRP.
  • Count outdoor (RSRP) Obtain the number of MR samples of indoor users in each RSRP interval Count indoor (RSRP);
  • step S504 can include:
  • the MR data in each MR sample data set is divided according to the reception intensity RSRP interval, and is sorted according to the TA from small to large in each divided RSRP interval; and when the TA is the same, according to the reception quality RSRQ from large to small Sort.
  • each of the chambers with a quantity obtaining section RSRP user data of the sample MR Count indoor (RSRP) and the number of users outside sample data MR Count outdoor (RSRP), step S505 may include:
  • the number of indoor sample MR sample data Count indoor (RSRP) MR data is sequentially selected as an indoor user; and the outdoor user MR sample data amount Count outdoor (RSRP) is selected in reverse order.
  • the MR data is marked as an outdoor user.
  • the receiving field strength is the same, and the direction of the serving cell is the same or similar, the closer the distance is to the serving cell, The more the users tend to be indoor users; and the same, the same, or the same, or the same, the same or the same as the direction of the serving cell, the better the reception quality tends to the principle of the indoor user, understandably,
  • the embodiment provides a method for distinguishing between indoor and outdoor users, and the number of indoor and outdoor sample points in the MR sample points of each receiving field strength region is distinguished by a curve fitting technique, thereby being able to obtain a system from a mobile communication network.
  • the side distinguishes between indoor and outdoor users.
  • the apparatus 120 may include: a partitioning module 1201, a first obtaining module 1202, and a first a second obtaining module 1203, a sorting module 1204, and a marking module 1205; wherein
  • the dividing module 1201 is configured to divide the MR sample data of the serving cell into at least one MR sample data set according to a preset direction dividing policy; wherein the serving cell is an outdoor cell; each of the MR sample data sets The antenna horizontal gain due to the direction between the MR sample data is lower than the preset gain threshold;
  • the first obtaining module 1202 is configured to acquire a corresponding MR sample data distribution relationship for each MR sample data set
  • the second obtaining module 1203 is configured to obtain the number of indoor users in each MR sample data set by using a preset fitting algorithm and the MR sample data distribution relationship according to the distribution property of the indoor user and the outdoor user. Number of outdoor users;
  • the sorting module 1204 is configured to sort the MR data in each MR sample data set according to a preset sorting rule
  • the marking module 1205 is configured to mark the sorted MR data according to the number of indoor users and the number of outdoor users in each MR sample data set.
  • each MR sample data of the serving cell corresponds to one UE, and each MR sample data may include: a timestamp, a cell identifier of the serving cell, a receiving cell strength of the serving cell, and a representation of the RSRP.
  • Cell reception quality, with RSRQ as the characterization, TA The direction parameter of the serving cell is characterized by the identity of the neighboring cell with the strongest AOA or RSRP.
  • the first obtaining module 1202 is configured to collect, for each MR sample data set, all the MR sample data in the set according to the received field strength, and obtain the sample quantity corresponding to each MR sample data set.
  • Statistical distribution map and corresponding statistical curves are configured to collect, for each MR sample data set, all the MR sample data in the set according to the received field strength, and obtain the sample quantity corresponding to each MR sample data set.
  • the second obtaining module 1203 is configured to acquire a first parameter corresponding to the MR sample data distribution relationship
  • the first user parameter and the second parameter are used to iterate the indoor user statistical curve, and the outdoor user statistical curve is iterated by the first parameter and the third parameter simultaneously, and after the preset round iteration, the iterative wheel with the smallest error is selected.
  • the number of indoor users and the number of outdoor users in the MR sample data set are obtained according to the indoor user statistical curve corresponding to the iterative round with the smallest error and the outdoor user statistical curve.
  • the second obtaining module 1203 is configured to:
  • the error of each RSRP interval is accumulated to obtain the total error of the current iteration number; and the indoor user statistical curve corresponding to the iteration number with the smallest total error and the outdoor user statistical curve are selected.
  • the second obtaining module 1203 is configured to:
  • the temporary indoor user MR sample data Temp indoor Count (RSRP) and the temporary outdoor user MR sample data Temp outdoor Count (RSRP) corresponding to each RSRP interval are obtained according to the indoor user statistical curve corresponding to the minimum number of iterations of the total error and the outdoor user statistical curve.
  • RSRP RSRP
  • the sorting module 1204 is configured to:
  • the MR data in each MR sample data set is divided according to the reception intensity RSRP interval, and is sorted according to the TA from small to large in each divided RSRP interval; and when the TA is the same, according to the reception quality RSRQ from large to small Sort.
  • the marking module 1205 is configured to:
  • the number of indoor user MR sample data Count intdoor (RSRP) MR data is sequentially selected as an indoor user; the reverse order is selected as an outdoor user MR sample data count outdoor (RSRP) The MR data is marked as an outdoor user.
  • Each module proposed in the embodiment of the present invention may be implemented by a processor, and may also be implemented by a specific logic circuit.
  • the processor may be a central processing unit (CPU), a microprocessor. (Microprocessor Uint, MPU) or Field Programmable Gate Array (FPGA).
  • the above method for distinguishing indoor and outdoor users is implemented in the form of a software function module, and is sold or used as an independent product, it may also be stored in a computer readable storage medium.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • program codes such as a USB flash drive, a mobile hard disk, a read only memory (ROM), a magnetic disk, or an optical disk.
  • the embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores a computer program for performing the above method for distinguishing indoor and outdoor users according to an embodiment of the present invention.
  • the embodiment of the present invention divides the MR sample data of the serving cell into at least one MR sample data set according to a preset direction division policy; wherein the serving cell is an outdoor cell; each MR sample data in each MR sample data set The antenna horizontal gain due to the direction is lower than the preset gain threshold; for each MR sample data set, the corresponding MR sample data distribution relationship is acquired; according to the distribution nature of the indoor user and the outdoor user, the preset Fitting an algorithm to the MR sample data distribution relationship, and acquiring each of the MR sample data sets The number of indoor users and the number of outdoor users; sorting the MR data in each MR sample data set according to a preset sorting rule; and sorting the MR data according to the number of indoor users and outdoor users in each MR sample data set The quantity is marked. In this way, indoor and outdoor users can be distinguished from the system side of the mobile communication network.

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

Abstract

L'invention concerne un procédé et un appareil permettant de distinguer des utilisateurs intérieurs et extérieurs, et un support de stockage. Le procédé peut consister à : diviser des données d'échantillon RM d'une cellule de desserte en au moins un ensemble de données d'échantillon RM selon une stratégie de division de direction prédéfinie ; concernant chaque ensemble de données d'échantillon RM, acquérir une relation de distribution de données d'échantillon RM correspondante ; d'après des propriétés de distribution d'utilisateurs intérieurs et d'utilisateurs extérieurs, au moyen d'un algorithme d'ajustement prédéfini et de la relation de distribution de données d'échantillon MR, acquérir le nombre d'utilisateurs intérieurs et le nombre d'utilisateurs extérieurs dans chaque ensemble de données d'échantillon RM ; trier des données RM dans chaque ensemble de données d'échantillon RM selon une règle de tri prédéfinie ; et marquer les données RM triées selon le nombre d'utilisateurs intérieurs et le nombre d'utilisateurs extérieurs dans chaque ensemble de données d'échantillon RM.
PCT/CN2017/079316 2016-05-25 2017-04-01 Procédé et appareil permettant de distinguer des utilisateurs intérieurs et extérieurs, et support de stockage WO2017202144A1 (fr)

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