CN108235338A - A kind of TD-LTE user types recognition methods and base station - Google Patents
A kind of TD-LTE user types recognition methods and base station Download PDFInfo
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- CN108235338A CN108235338A CN201611160777.XA CN201611160777A CN108235338A CN 108235338 A CN108235338 A CN 108235338A CN 201611160777 A CN201611160777 A CN 201611160777A CN 108235338 A CN108235338 A CN 108235338A
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Abstract
The embodiment of the present invention discloses a kind of TD LTE user types recognition methods and base station.The method includes：Preset respective field in measurement report MR sample datas determines the MR data of user terminal；Determine whether the user terminal is room minute user according to the occupancy cell of the MR data samplings point of the user terminal；If it is not, then the user terminal is judged for user type outside macro station indoor user type or macro station room according to preset macro station user type recognizer.The base station is used to implement the method.TD LTE user type recognition methods provided in an embodiment of the present invention can be based on measurement report sample (MRO) data, identify the user type of TD LTE user terminals.
Description
Technical field
The present invention relates to wireless communication fields, and in particular to a kind of TD-LTE (Time Division-Long Term
Evolution, timesharing long term evolution) user type recognition methods and device.
Background technology
MR (Measurement Report, measurement report) refer to the measuring configuration that UE issues according to network measure and on
The network of relation index of main adjacent cell is reported, these reported datas can be used for network evaluation and optimization.Measurement report by UE and
ENodeB completions, UE execution and the data such as reporting subdistrict downlink level intensity, quality, eNodeB execution and reporting uplink UE's connects
Receive the measurement of level intensity and quality.The processing of measurement report is usually completed in eNodeB.Based on traditional network optimized approach,
Can only information, such as network coverage situation, speech quality situation be experienced to obtain user by drive test, fixed test, and drive test
Some major trunk roads, emphasis place can only often be tested with fixed test, the sample point data obtained is relative to MR's
User information wants much less, therefore there are one-sidedness for the result analyzed.If it replaces a large amount of customary drive test with MR data and determines
Point test, measurement report when business is actually occurred with user evaluate network, can both save O＆M cost, and compare drive test
It is more targeted with one-point measurement, moreover it is possible to the data of these acquisitions be excavated, analyze the behavior pattern of user and small
The information such as the distribution in area facilitate formulation Network Optimization Strategy.
MR data are divided into measurement report sample (Measurement Report Original, MRO) data, measurement report
Count the measurement report sample of (Measurement Report Statistics, MRS) data and event triggering
(Measurement Report Event, MRE) data.Wherein, MRO data, are periodic measurement report sample datas, table
Show the original measurement report information that OMC-R (wireless access network Element management system) is collected according to the period.
With LTE network Fast Construction, more and more data are needed to carry out the work of network evaluation and optimization.MR numbers
According to as most comprehensively, most in detail, most true user's gathered data, really reflect the state that user is currently located network,
It is the valuable data for having very big utility value.Network analysis is done using MR data and Optimization Work can faster, preferably reach
The target of existing network optimization.
However, there is no the attribute information of user type in MR data.Many situations actually during existing network optimization
Down it needs to be determined that user type.User indoors, is distinguished indoor and room by the portfolio generation that LTE shows net nearly 80% at present
It is the important evidence of network construction and optimization outside.User type identification can provide important auxiliary to network planning construction and make
With web construction more science is more valuable.User's identification simultaneously will make network optimization work more targeted, can more precisely
Carry out positioning problems, analysis and propose solution, greatly improve network optimization work efficiency.
But macro station user can not be divided into indoor and outdoors by prior art means, this becomes one of current network optimization industry
Bottleneck, the difficulty that causes to optimize and build increase.
Therefore, how to propose a kind of method, measurement report sample (MRO) data can be based on, identify TD-LTE user types
Method, have a very important significance.
Invention content
For the defects in the prior art, the embodiment of the present invention provides a kind of TD-LTE user types recognition methods and base
It stands.
On the one hand, the embodiment of the present invention proposes a kind of TD-LTE user types recognition methods, including：
Preset respective field in measurement report MR sample datas determines the MR data of user terminal；
Determine whether the user terminal is that room minute is used according to the occupancy cell of the MR data samplings point of the user terminal
Family；
It is macro station indoor user class to the user terminal if it is not, then according to preset macro station user type recognizer
User type is judged outside type or macro station room.
TD-LTE user types recognition methods provided in an embodiment of the present invention, due to can be according to measurement report sample (MRO)
Data determine the MR data of user terminal, and then determine whether the user terminal is that user is divided in room, it is thereby achieved that based on MRO
Data identify the function of TD-LTE user types.It further, since can also be according to preset macro station user type recognizer, into one
Step judges the user terminal for user type outside macro station indoor user type or macro station room therefore, the method has
There is very wide application prospect.
On the other hand, the embodiment of the present invention also proposes a kind of base station, including：
Data determining module determines user terminal for the preset respective field in measurement report MR sample datas
MR data；
Room point confirms module, and user determines the user according to the occupancy cell of the MR data samplings point of the user terminal
Whether terminal is that user is divided in room；
Type identification module, for when the user terminal for non-room divide user when, according to preset macro station user type
Recognizer judges the user terminal for user type outside macro station indoor user type or macro station room.
Base station provided in an embodiment of the present invention, due to that can determine user terminal according to measurement report sample (MRO) data
MR data, and then determine whether the user terminal is that user is divided in room, it is thereby achieved that identifying TD-LTE user based on MRO data
The function of type.Further, since can also be to the user terminal further according to preset macro station user type recognizer
User type is judged outside macro station indoor user type or macro station room, therefore, before the base station has very wide application
Scape.
Another aspect, the embodiment of the present invention also provide a kind of TD-LTE user types identification device, including：Processor is deposited
Reservoir and bus；
Wherein, the processor is connect with memory by the bus；The processor is used to call the memory
In program instruction, to perform the above method.
In another aspect, a kind of computer program product is also disclosed in the embodiment of the present invention, the computer program product includes
The computer program being stored on non-transient computer readable storage medium storing program for executing, the computer program include program instruction, work as institute
When stating program instruction and being computer-executed, computer is able to carry out the above method.
Last aspect, the embodiment of the present invention finally also provides a kind of non-transient computer readable storage medium storing program for executing, described non-
Transitory computer readable storage medium stores computer instruction, and the computer instruction makes the computer perform the above method.
Description of the drawings
Fig. 1 is the flow diagram of TD-LTE user types recognition methods embodiment of the present invention；
Fig. 2 is to determine the schematic diagram of target UE positions ideally；
Fig. 3 is the schematic diagram determined under the actual conditions of target UE positions；
Fig. 4 is the structure diagram of base station embodiment of the present invention；
Fig. 5 is the structure diagram of TD-LTE user types identification device of the present invention.
Specific embodiment
Purpose, technical scheme and advantage to make the embodiment of the present invention are clearer, below in conjunction with the embodiment of the present invention
In attached drawing, the technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment be the present invention
Part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
All other embodiments obtained under the premise of creative work are made, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of TD-LTE user types recognition methods embodiment of the present invention, referring to Fig. 3, the present embodiment
A kind of TD-LTE user types recognition methods is disclosed, including：
S1, the preset respective field in measurement report MR sample datas determine the MR data of user terminal；
S2, determine whether the user terminal is room minute according to the occupancy cell of the MR data samplings point of the user terminal
User；
S3, if it is not, then according to preset macro station user type recognizer, be macro station indoor user to the user terminal
User type is judged outside type or macro station room.
TD-LTE user types recognition methods provided in an embodiment of the present invention, due to can be according to measurement report sample (MRO)
Data determine the MR data of user terminal, and then determine whether the user terminal is that user is divided in room, it is thereby achieved that based on MRO
Data identify the function of TD-LTE user types.It further, since can also be according to preset macro station user type recognizer, into one
Step judges the user terminal for user type outside macro station indoor user type or macro station room therefore, the method has
There is very wide application prospect.
It should be noted that the executive agent of this method embodiment is base station.
Specifically, in step sl, base station can by MmeUeS1apId in measurement report sample data,
MmeGroupId, MmeCode field filter go out the MR data of user terminal.Wherein, the preset respective field is can express
The field of feature in the measurement report information being collected into, the preset respective field record feature are as shown in table 1：
Table 1：The preset respective field expression measurement report sample data mark sheet
For example, in certain measurement report sample data, MmeCode 124, MmeGroupId 257, MmeUeS1apId
It is 537565967, then can uniquely determines, the ID of the user terminal is 124＆257＆537565967.According to the user terminal
ID then can determine all MR data of the user terminal.
In step s 2, can according to the occupancy cell of the MR data samplings point of the user terminal determining in step sl,
To judge whether the user terminal is that user is divided in room.
Specifically, the cell basis information progress occupancy cell of MR data samplings point and base station got in advance
Match, if matching, the occupancy cell for knowing MR data samplings point is room minute cell, then corresponding user terminal divides user for room.
For example, the occupancy cell ID of MR data samplings point is 65627-1, and the cell basis letter got in advance in base station
In breath, the cell that ID is 65627-1 is room subsystem cell, then corresponding user terminal is that user is divided in room.
In step s3, the preset macro station user type recognizer includes：
If during lasting in the extensible markup language xml files of preset first duration of the ID of the user terminal
Between be more than preset second duration, then the antenna angle of arrival AOA and timing advance TA for judging the user terminal determine
Changing value of the position within the duration, if less than preset distance value；
If so, judge the user terminal for macro station indoor user type；
It should be noted that the extensible markup language xml document of preset first duration is generated, and base by base station
The xml document can be updated every preset first duration by standing.Preset first duration is usually 15 minutes.
Specifically, if duration of the ID of user terminal in the xml document of preset first duration is more than preset
Second duration, such as 15 seconds, base station is then in the corresponding MR data targets fields of ID by judging the user terminal
MR.LteScAOA and MR.LteScTadv, to obtain the value of AOA and TA.
It is understood that preset second duration can be adjusted according to actual needs, the present embodiment is to this
It is not construed as limiting.
Wherein, the corresponding MR data targets fields of the ID of user terminal are as shown in the table：
Table 2：The corresponding MR data targets fields of ID of user terminal
Wherein, by the value of AOA and TA carry out sampling point location concrete principle it is as follows：
UE receives TA orders, the launch time of adjustment uplink PUCCH/PUSCH/SRS, in order to eliminate from network side
Different propagation delay time between UE so that the uplink signal of different UE reaches the time unifying of eNodeB, ensures uplink orthogonal,
Reduce intra-cell interference.TA characterizations are the distance between UE and antenna port.
The corresponding Timing Advance distances of 1Ts are equal to：(3*10^8*1/ (15000*2048))/2=4.89m.Meaning is exactly
Distance=spread speed (light velocity) * 1Ts/2 (uplink and downlink path and).The corresponding distance of TA bid values is both referred to 1Ts to calculate
's.
In the random access procedure：ENodeB measures uplink PRACH targeting sequencings, RAR's (random access response)
11bit information is carried in MAC payload, the range of TA is between 0~1282, according to TA values in RAR, UE adjustment uplink transmittings
Time Nta=TA*16, value are permanent for just.
Such as：TA=1, then Nta=1*16Ts, the distance of characterization are 16*4.89m=78.12m, a general TA generation
The distance of table is exactly 78 meters.
And what AOA was represented is antenna angle of arrival, defines estimation angle of the user with respect to reference direction.Measure reference
Direction should be due north, counterclockwise.Namely refer to the angle that user's present position reaches direct north counterclockwise.
In the present embodiment, base station is based on the value for getting AOA and TA within the duration, according to AOA
And TA location algorithms, the MR data samplings point of the user terminal is positioned.And by position determined by AOA and TA
Changing value within the duration is compared with preset distance value.If the changing value is less than the preset distance
Value, then can determine the user terminal is macro station indoor user type.
For example, the preset distance value is set as 20m.Within the duration, certain user terminal moment in MRO
TA is that 2, AOA is 90 degree, then the MR data samplings point of the user terminal is located at the 156m in cell due east extremely determined by TA and AOA
Position between 234m；And the MR data samplings point of the user terminal is located at cell due east determined by subsequent time TA and AOA
78m to the position between 156m, then changing value of the position within the duration determined by AOA and TA is more than 20m,
Base station then can determine whether the user terminal for user type outside macro station room.
If the MR data samplings point of the user terminal is still located at the 156m in cell due east determined by subsequent time TA and AOA
To the position between 234m, then changing value of the position within the duration determined by AOA and TA is less than 20m, base station
Then can determine whether the user terminal is macro station indoor user type.
Further, the preset macro station user type recognizer further includes：
If duration of the ID of the user terminal in the xml document of preset first duration is more than preset second
Duration, and the value of the AOA and TA of the user terminal are sky, then
Change in location value of the user terminal within the duration is obtained by three-point fix algorithm；
If the change in location value is not less than the preset distance value, judge the user terminal for macro station outdoor use
Family.
Specifically, it is more than preset when the duration in xml documents of the ID of user terminal in preset first duration
Second duration, but the AOA or the value of TA reported is empty or have that other exceptions or MR data samplings point are unavailable, and base station then passes through
Three-point fix algorithm obtains change in location value of the user terminal within the duration.
Wherein, the basic principle of the three-point fix algorithm is：
The signal sent according to multiple receivers by detecting transmitter, is acquired multiple field strength, is declined using known channel
The field intensity value of stamping die type and transmitting signal is estimated that the distance between transceiver, obtains multiple distance values (path loss Li=
Transmission poweri+ antenna gainiReceived field strengthi, Ri=f (Li)), it, can by solving the distance between transceiver equation group
Determine the position of target UE
Ideal situation：Terminal one is positioned at using three base stations as the center of circle, distance RiThree round intersection points (such as Fig. 2 institutes
Show).
Actual conditions：Since NLOS errors are a big nonnegative value, measurement distance is much larger than actual distance, therefore the position of terminal
The overlapping region (as shown in Figure 3) of multiple circles should be located at by putting.
It should be noted that using the anti-advance of field intensity value from when, it should be with relatively accurate propagation model
Under the premise of.Therefore, it is necessary to first carry out propagation model calibration.
Standard macrocell propagation model is as follows：
L=K1+K2log(d)+K3Hms+K4log(Hms)+K5log(Heff)+K6log(d)log(Heff)+K7Diffraction
+Kclutter
Wherein：
d：The distance between base station and mobile station (m)
Hms：The height (m) on ground where mobile station
Heff：The effective height (m) of antenna for base station
Diffraction：Diffraction loss caused by by there is obstructed paths (dB)
Kclustter：Parameter is lost in atural object
Canonical parameter value is as follows：
However, since wireless propagation environment is multifarious.If only rule of thumb ignore various regions different terrain,
The influence of the parameters such as looks, building, vegetation inevitably results in built up network or there is covering, quality problems, Huo Zhesuo
It is excessively intensive to build base station, causes the wasting of resources.Therefore it just needs to be tested for each geographical environment from different places, pass through
The means such as analysis and calculating are modified the parameter of propagation model.It is final obtain can most reflect local wireless propagation environment,
The propagation model of most theoretical reliability.
In the present embodiment, the three-point fix algorithm includes：
Step 1 carries out road test on the periphery of typical geomorphic province, according to road test as a result, soft using planning
Part calibrates propagation model, and as the propagation model of predeterminable area (such as whole city) other zone similarities.
Wherein, the typical geomorphic province can be the intensive shopping centre of irregular dense city, high building, rule/no
Common city, villages within the city, city open ground, the industrial park etc. of rule.
Step 2, MR.LteScRSRP, MR.LteNcRSRP according to each MR data samplings point, with reference to base station transmitting power,
Antenna gain calculates path loss, is determined between the user terminal and multiple eNB by suitable propagation model according to the path loss
Distance, be denoted as R1, R2, R3... ..., the position of the multiple eNB is denoted as (x1, y1), (x2, y2), (x3, y3)……
Step 3 is solved by least square method：VectorFirst two be the user terminal
Estimated coordinatesWherein,
In formula, i=1,2 ... n.
If within the duration, the corresponding MR data samplings point change in location values of ID of the user terminal are less than in advance
If distance value, then can determine that the user terminal for user outside macro station room.
If the change in location value is less than preset distance value, base station is according to corresponding index word in preset MR data
Section, judges the user type of the user terminal.
Specifically, base station can according to MR.LteScRSRP, MR.LteNcRSRP of MR data samplings point and
MR.LteScPHR index fields, make following judgement：
If the 1, MR data samplings point is main takes cell RSRP >=-90dBm, most strong adjacent area RSRP >=-95dBm, PHR >=20, then
Judge the corresponding user terminal of the MR data samplings point for user outside macro station room.
If the 2, MR data samplings point is main takes cell RSRP≤- 90dBm, most strong adjacent area RSRP >=-95dBm, then described in judgement
The corresponding user terminal of MR data samplings point is user outside macro station room.
The 3rd, if the main cell RSRP that takes of MR data samplings point is less than -105dBm, then sentences less than -100dBm, most strong adjacent area RSRP
The corresponding user terminal of the MR data samplings point that breaks is macro station indoor user.
The 4th, if MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index field of MR data samplings point are not
Meet the Rule of judgment of above-mentioned 1-3, then judge the corresponding user terminal of the MR data samplings point for other type of user.
It should be noted that if duration of the ID of the user terminal in the xml document of preset first duration
Less than preset second duration, base station also can be according to index field corresponding in above-mentioned preset MR data, to user end
The user type at end is judged：
Specifically, base station can according to MR.LteScRSRP, MR.LteNcRSRP of MR data samplings point and
MR.LteScPHR index fields, make following judgement：
If the 21, MR data samplings point is main takes cell RSRP >=-90dBm, most strong adjacent area RSRP >=-95dBm, PHR >=20, then
Judge the corresponding user terminal of the MR data samplings point for user outside macro station room.
If the 22, MR data samplings point is main takes cell RSRP≤- 90dBm, most strong adjacent area RSRP >=-95dBm, then described in judgement
The corresponding user terminal of MR data samplings point is user outside macro station room.
The 23rd, if the main cell RSRP that takes of MR data samplings point is less than -95dBm, then judges less than -90dBm, most strong adjacent area RSRP
The corresponding user terminal of the MR data samplings point is macro station indoor user.
The 24th, if MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index field of MR data samplings point are not
Meet the Rule of judgment of above-mentioned 1-3, then judge the corresponding user terminal of the MR data samplings point for other type of user.
TD-LTE user types recognition methods provided in an embodiment of the present invention, the preset macro station user class used due to it
Type recognizer can judge whether user terminal moves according to AOA+TA and three-point fix algorithm, and then identify user terminal
User type, thus obtained recognition result have high accuracy.In addition, since the method may also be combined with
The indexs field such as MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR, indefinite user to position zinformation
Terminal carries out effective user type identification, therefore, the method can realize it is nearly all in the case of type of user terminal
Identification has very wide application prospect.
Fig. 4 is the structure diagram of base station embodiment of the present invention, and referring to Fig. 4, the embodiment of the present invention also provides a kind of base station,
Confirm module 2 and type identification module 3 including data determining module 1, room point, wherein：
Preset respective field of the data determining module 1 in measurement report MR sample datas determines user
The MR data of terminal；The room point confirms that 2 user of module is true according to the occupancy cell of the MR data samplings point of the user terminal
Whether the fixed user terminal is that user is divided in room；The type identification module 3 is used to divide user for non-room when the user terminal
When, it is outside macro station indoor user type or macro station room to the user terminal according to preset macro station user type recognizer
User type is judged.
Base station provided in an embodiment of the present invention, due to that can determine user terminal according to measurement report sample (MRO) data
MR data, and then determine whether the user terminal is that user is divided in room, it is thereby achieved that identifying TD-LTE user based on MRO data
The function of type.Further, since can also be to the user terminal further according to preset macro station user type recognizer
User type is judged outside macro station indoor user type or macro station room, therefore, before the base station has very wide application
Scape.
Specifically, data determining module 1 can by MmeUeS1apId, MmeGroupId in measurement report sample data,
MmeCode field filters go out the MR data of user terminal.
For example, in certain measurement report sample data, MmeCode 124, MmeGroupId 257, MmeUeS1apId
It is 537565967, then data determining module 1 can be determined uniquely, and the ID of the user terminal is 124＆257＆537565967.Root
According to the ID of the user terminal, data determining module 1 then can determine all MR data of the user terminal.
Room point confirms the occupancy of the MR data samplings point of the user terminal that module 2 can be determined according to data determining module 1
Cell, to judge whether the user terminal is that user is divided in room.
Specifically, room point confirms the cell that module 2 can get the occupancy cell of MR data samplings point and base station in advance
Basic information is matched, if matching knows the occupancy cell of MR data samplings point for room minute cell, corresponding user terminal
Divide user for room.
For example, the occupancy cell ID of MR data samplings point is 65627-1, and the cell basis letter got in advance in base station
In breath, the cell that ID is 65627-1 is room subsystem cell, then corresponding user terminal is that user is divided in room.
The type identification module 3 is specifically used for：
If duration of the ID of the user terminal in the extensible markup language xml document of preset first duration
More than preset second duration, the type identification module 3 then judges antenna angle of arrival AOA and the timing of the user terminal
Changing value of the position within the duration determined by lead TA, if less than preset distance value；
If so, judge the user terminal for macro station indoor user type；
It should be noted that the extensible markup language xml document of preset first duration is generated, and base by base station
The xml document can be updated every preset first duration by standing.Preset first duration is usually 15 minutes.
Specifically, if duration of the ID of user terminal in the xml document of preset first duration is more than preset
Second duration, such as 15 seconds, the type identification module 3 is then by judging the corresponding MR data targets of ID of the user terminal
MR.LteScAOA and MR.LteScTadv in field, to obtain the value of AOA and TA.
It is understood that preset second duration can be adjusted according to actual needs, the present embodiment is to this
It is not construed as limiting.
Further, the type identification module 3 is based on the AOA's and TA got within the duration
Value, according to AOA and TA location algorithms, positions the MR data samplings point of the user terminal.And by AOA and TA institutes
Changing value of the determining position within the duration is compared with preset distance value.If the changing value is less than described
Preset distance value, then can determine the user terminal is macro station indoor user type.
For example, the preset distance value is set as 20m.Within the duration, certain user terminal moment in MRO
TA is that 2, AOA is 90 degree, then the MR data samplings point of the user terminal is located at the 156m in cell due east extremely determined by TA and AOA
Position between 234m；And the MR data samplings point of the user terminal is located at cell due east determined by subsequent time TA and AOA
78m to the position between 156m, then changing value of the position within the duration determined by AOA and TA is more than 20m,
The type identification module 3 then can determine whether the user terminal for user type outside macro station room.
If the MR data samplings point of the user terminal is still located at the 156m in cell due east determined by subsequent time TA and AOA
To the position between 234m, then changing value of the position within the duration determined by AOA and TA is described less than 20m
Type identification module 3 then can determine whether that the user terminal is macro station indoor user type.
Further, the type identification module 3 also particularly useful for：
If duration of the ID of the user terminal in the xml document of preset first duration is more than preset second
Duration, and the value of the AOA and TA of the user terminal are sky, then
Change in location value of the user terminal within the duration is obtained by three-point fix algorithm；
If the change in location value is not less than the preset distance value, judge the user terminal for macro station outdoor use
Family.
Specifically, it is more than preset when the duration in xml documents of the ID of user terminal in preset first duration
Second duration, but the AOA or the value of TA reported is empty or have that other exceptions or MR data samplings point are unavailable, and the type is known
Other module 3 then obtains change in location value of the user terminal within the duration by three-point fix algorithm.
The three-point fix algorithm includes：
Step 1 carries out road test on the periphery of typical geomorphic province, according to road test as a result, soft using planning
Part calibrates propagation model, and as the propagation model of predeterminable area (such as whole city) other zone similarities.
Wherein, the typical geomorphic province can be the intensive shopping centre of irregular dense city, high building, rule/no
Common city, villages within the city, city open ground, the industrial park etc. of rule.
Step 2, MR.LteScRSRP, MR.LteNcRSRP according to each MR data samplings point, with reference to base station transmitting power,
Antenna gain calculates path loss, is determined between the user terminal and multiple eNB by suitable propagation model according to the path loss
Distance, be denoted as R1, R2, R3... ..., the position of the multiple eNB is denoted as (x1, y1), (x2, y2), (x3, y3)……
Step 3 is solved by least square method：VectorFirst two be the user terminal
Estimated coordinatesWherein,
In formula, i=1,2 ... n.
If within the duration, the corresponding MR data samplings point change in location values of ID of the user terminal are less than in advance
If distance value, then can determine that the user terminal for user outside macro station room.
If the change in location value is less than preset distance value, the type identification module 3 is according to preset MR data
In corresponding index field, the user type of the user terminal is judged.
Specifically, the type identification module 3 can be according to MR.LteScRSRP, MR.LteNcRSRP of MR data samplings point
And MR.LteScPHR index fields, make following judgement：
If the 1, MR data samplings point is main takes cell RSRP >=-90dBm, most strong adjacent area RSRP >=-95dBm, PHR >=20, then
Judge the corresponding user terminal of the MR data samplings point for user outside macro station room.
If the 2, MR data samplings point is main takes cell RSRP≤- 90dBm, most strong adjacent area RSRP >=-95dBm, then described in judgement
The corresponding user terminal of MR data samplings point is user outside macro station room.
The 3rd, if the main cell RSRP that takes of MR data samplings point is less than -105dBm, then sentences less than -100dBm, most strong adjacent area RSRP
The corresponding user terminal of the MR data samplings point that breaks is macro station indoor user.
The 4th, if MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index field of MR data samplings point are not
Meet the Rule of judgment of above-mentioned 1-3, then judge the corresponding user terminal of the MR data samplings point for other type of user.
It should be noted that if duration of the ID of the user terminal in the xml files of preset first duration
Less than preset second duration, the type identification module 3 also can according to index field corresponding in above-mentioned preset MR data,
The user type of the user terminal is judged：
Specifically, the type identification module 3 can be according to MR.LteScRSRP, MR.LteNcRSRP of MR data samplings point
And MR.LteScPHR index fields, make following judgement：
If the 21, MR data samplings point is main takes cell RSRP >=-90dBm, most strong adjacent area RSRP >=-95dBm, PHR >=20, then
Judge the corresponding user terminal of the MR data samplings point for user outside macro station room.
If the 22, MR data samplings point is main takes cell RSRP≤- 90dBm, most strong adjacent area RSRP >=-95dBm, then described in judgement
The corresponding user terminal of MR data samplings point is user outside macro station room.
The 23rd, if the main cell RSRP that takes of MR data samplings point is less than -95dBm, then judges less than -90dBm, most strong adjacent area RSRP
The corresponding user terminal of the MR data samplings point is macro station indoor user.
The 24th, if MR.LteScRSRP, MR.LteNcRSRP and MR.LteScPHR index field of MR data samplings point are not
Meet the Rule of judgment of above-mentioned 1-3, then judge the corresponding user terminal of the MR data samplings point for other type of user.
Base station provided in an embodiment of the present invention, can basis due to the preset macro station user type recognizer that it is used
AOA+TA and three-point fix algorithm judge whether user terminal moves, and then identify the user type of user terminal, thus
The recognition result arrived has high accuracy.In addition, due to the base station may also be combined with MR.LteScRSRP,
The indexs field such as MR.LteNcRSRP and MR.LteScPHR, indefinite user terminal to position zinformation carry out effective
User type identification, therefore, the base station can realize it is nearly all in the case of type of user terminal identification, have very
Wide application prospect.
Fig. 5 is the structure diagram of TD-LTE user types identification device of the present invention, and referring to Fig. 5, the embodiment of the present invention also carries
For a kind of TD-LTE user types identification device, including：
Processor (processor) 501, memory (memory) 502, bus 503；
Wherein,
The processor 501 is connect with memory 502 by the bus 503；
The processor 501 is used to call the program instruction in the memory 502, to perform above-mentioned each method embodiment
The method provided, such as including：Preset respective field in measurement report MR sample datas determines user terminal
MR data；Determine whether the user terminal is that room minute is used according to the occupancy cell of the MR data samplings point of the user terminal
Family；It is macro station indoor user type or macro to the user terminal if it is not, then according to preset macro station user type recognizer
Outdoor user type of standing is judged.
A kind of computer program product is also disclosed in the embodiment of the present invention, and the computer program product includes being stored in non-temporary
Computer program on state computer readable storage medium, the computer program include program instruction, when described program instructs
When being computer-executed, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including：It is reported according to measuring
Accuse the MR data that the preset respective field in MR sample datas determines user terminal；It is adopted according to the MR data of the user terminal
The occupancy cell of sampling point determines whether the user terminal is that user is divided in room；If it is not, then known according to preset macro station user type
Other algorithm judges the user terminal for user type outside macro station indoor user type or macro station room.
The embodiment of the present invention finally also provides a kind of non-transient computer readable storage medium storing program for executing, and the non-transient computer can
Storage medium storage computer instruction is read, the computer instruction is provided the above-mentioned each method embodiment of the computer execution
Method, such as including：Preset respective field in measurement report MR sample datas determines the MR data of user terminal；
Determine whether the user terminal is room minute user according to the occupancy cell of the MR data samplings point of the user terminal；If it is not,
It is macro station indoor user type or macro station outdoor use to the user terminal then according to preset macro station user type recognizer
Family type is judged.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above method embodiment can pass through
The relevant hardware of program instruction is completed, and aforementioned program can be stored in a computer read/write memory medium, the program
When being executed, step including the steps of the foregoing method embodiments is performed；And aforementioned storage medium includes：ROM, RAM, magnetic disc or light
The various media that can store program code such as disk.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on such understanding, on
Technical solution is stated substantially in other words to embody the part that the prior art contributes in the form of software product, it should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and (can be personal computer, server or the network equipment etc.) so that computer equipment is used to perform each implementation
Method described in certain parts of example or embodiment.
Finally it should be noted that：The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
The present invention is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that：It still may be used
To modify to the technical solution recorded in foregoing embodiments or carry out equivalent replacement to which part technical characteristic；
And these modification or replace, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of TD-LTE user types recognition methods, which is characterized in that including：
Preset respective field in measurement report MR sample datas determines the MR data of user terminal；
Determine whether the user terminal is room minute user according to the occupancy cell of the MR data samplings point of the user terminal；
If it is not, then according to preset macro station user type recognizer, to the user terminal for macro station indoor user type or
User type is judged outside macro station room.
2. according to the method described in claim 1, it is characterized in that, the preset macro station user type recognizer includes：
If the ID of the user terminal is in the extensible markup language xml document of preset first duration of preset first duration
Duration be more than preset second duration, then judge the antenna angle of arrival AOA and Timing Advance of the user terminal
Changing value of the position determined by TA within the duration, if less than preset distance value；
If so, judge the user terminal for macro station indoor user type.
3. according to the method described in claim 2, it is characterized in that, the preset macro station user type recognizer is also wrapped
It includes：
If duration of the ID of the user terminal in the xml document of preset first duration is more than preset second
It is long, and the value of the AOA and TA of the user terminal are sky, then
Change in location value of the user terminal within the duration is obtained by three-point fix algorithm；
If the change in location value is not less than the preset distance value, judge the user terminal for user outside macro station room.
If 4. according to the method described in claim 3, it is characterized in that, the change in location value be less than preset distance value,
According to index field corresponding in preset MR data, the user type of the user terminal is judged.
5. if according to the method described in claim 2, it is characterized in that, the ID of the user terminal is in preset first duration
Duration in xml document is less than preset second duration, then according to index field corresponding in preset MR data, to institute
The user type for stating user terminal is judged.
6. a kind of base station, which is characterized in that including：
Data determining module determines the MR of user terminal for the preset respective field in measurement report MR sample datas
Data；
Room point confirms module, and user determines the user terminal according to the occupancy cell of the MR data samplings point of the user terminal
Whether it is that user is divided in room；
Type identification module, for when the user terminal divides user for non-room, being identified according to preset macro station user type
Algorithm judges the user terminal for user type outside macro station indoor user type or macro station room.
7. base station according to claim 6, which is characterized in that the type identification module is specifically used for：
If duration of the ID of the user terminal in the extensible markup language xml document of preset first duration is more than
Preset second duration, then judge the user terminal antenna angle of arrival AOA and timing advance TA determined by position
Changing value within the duration, if less than preset distance value；
If so, judge the user terminal for macro station indoor user type.
8. base station according to claim 7, which is characterized in that the type identification module also particularly useful for：
If duration of the ID of the user terminal in the xml document of preset first duration is more than preset second
It is long, and the value of the AOA and TA of the user terminal are sky, then
Change in location value of the user terminal within the duration is obtained by three-point fix algorithm；
If the change in location value is not less than the preset distance value, judge the user terminal for user outside macro station room.
9. base station according to claim 8, which is characterized in that the type identification module also particularly useful for：
If the change in location value is less than preset distance value,
According to index field corresponding in preset MR data, the user type of the user terminal is judged.
10. the method according to the description of claim 7 is characterized in that the type identification module also particularly useful for：
If duration of the ID of the user terminal in the xml document of preset first duration is less than preset second
It is long, then according to index field corresponding in preset MR data, the user type of the user terminal is judged.
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