CN102655648A - User mobility identification method, device and system - Google Patents
User mobility identification method, device and system Download PDFInfo
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- CN102655648A CN102655648A CN201110050016XA CN201110050016A CN102655648A CN 102655648 A CN102655648 A CN 102655648A CN 201110050016X A CN201110050016X A CN 201110050016XA CN 201110050016 A CN201110050016 A CN 201110050016A CN 102655648 A CN102655648 A CN 102655648A
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Abstract
The invention provides a user mobility identification method, device and system. The user mobility identification method comprises the following steps of: acquiring the coverage area length of each RRU (radio remote unit) and the position information of each RRU; acquiring all RRUs through which users pass in a unit time, and calculating the moving speed of the users according to the coverage area length of each RRU; and judging the moving directions of the users according to the position information of RRU through which the users pass. By using the user mobility identification method, device and system disclosed by the invention, the moving speeds and moving directions of the users can be effectively identified.
Description
Technical field
The present invention relates to wireless communication technology field, relate in particular to a kind of user mobility recognition methods, Apparatus and system.
Background technology
In cordless communication network, especially in the high ferro network, needing provides difference to handle to the user with different translational speeds and moving direction, is that the user of high-speed mobile provides favorable service with the assurance.Therefore, be very important for user's in the cordless communication network the translational speed and the accurate identification of moving direction.
In the prior art; Generally be to radio network controller (Radio Network Controller through the base station in the cordless communication network (NODE B); RNC) report mobile subscriber's frequency deviation information and antenna configurations direction, to come the translational speed and the direction of assesses user according to this frequency deviation information and antenna configurations direction by RNC.This appraisal procedure has following defective: on the one hand, owing to assess translational speed based on frequency deviation information, the accuracy of frequency deviation and precision greatly influence the accuracy of speed assessment; On the other hand, owing to assess moving direction based on the antenna configurations direction, so need all antenna travel direction configurations, the outfield workload is big and be difficult to guarantee its correctness, thereby influences the discriminant accuracy of user's moving direction.
Summary of the invention
To above-mentioned defective, the present invention provides a kind of user mobility recognition methods, Apparatus and system, to realize effective, the reliable recognition to user moving speed in the wireless network and moving direction.
The user mobility recognition methods that provides of the present invention comprises:
Obtain the overlay area length of RF remote unit (RRU) and the positional information of said RRU;
Obtain whole RRU that the user passes through in the unit interval, according to the said user's of overlay area length computation of each RRU translational speed;
The positional information of the RRU that passes through according to the user is judged said user's moving direction.
The present invention also provides a kind of radio network controller (RNC), comprising: RRU configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The translational speed identification module is used for obtaining whole RRU that the user passes through in the unit interval from NODE B, the said user's of overlay area length computation of each RRU that passes through according to said user translational speed;
The moving direction identification module, the positional information of the RRU that is used for passing through according to the user is judged said user's moving direction.
The present invention also provides a kind of base station, comprising:
The configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The lastest imformation acquisition module; Be used to obtain whole RRU that the user passes through in the unit interval and be sent to said RNC; So that the said user's of overlay area length computation of whole RRU that said RNC passes through according to user in the said unit interval and each RRU translational speed, and the positional information of the RRU that passes through according to said user is judged said user's moving direction.
The present invention also provides a kind of user mobility recognition system, comprises RNC of the present invention and base station of the present invention.
According to user mobility recognition methods of the present invention, RNC, base station and user mobility recognition system; Because RNC has obtained and has stored the overlay area length of RRU and the positional information of RRU; So when identification user's translational speed; The RRU that only passes through in the unit interval through statistics of user's combines its overlay area length can calculate its translational speed; And the positional information of the RRU that only passes through according to the user can judge said user's moving direction, so can high accuracy, discern user's translational speed and direction effectively.
Description of drawings
Fig. 1 is the flow chart of user mobility recognition methods of the present invention.
Fig. 2 is for using the network architecture diagram of user mobility recognition methods of the present invention
Fig. 3 is the flow chart of identification user moving speed in the user mobility recognition methods of the foregoing description.
Embodiment
For making the object of the invention, technical scheme and advantage clearer, will combine accompanying drawing below, technical scheme of the present invention is carried out clear, intactly description.
Fig. 1 is the flow chart of user mobility recognition methods of the present invention.As shown in Figure 1, this user mobility recognition methods may further comprise the steps:
Step S100 obtains the overlay area length of RF remote unit (RRU) and the positional information of said RRU;
Particularly, the high ferro network generally adopts the mode of RRU cascade to construct the private network sub-district, covers to realize railway chain along the line.Fig. 2 is for using the network architecture diagram of user mobility recognition methods of the present invention, and as shown in Figure 2, this network comprises a plurality of sub-districts, and each sub-district is made up of the RRU cascade of a plurality of covering FX.When train in the sub-district or minizone when moving, between these RRU, move simultaneously.When carrying out network settings, the configuration information of (NODE B) side and RNC configuration RRU, the i.e. positional information of the overlay area length of RRU and RRU (for example being the orientation of RRU) in each sub-district in the base station.
Step S200 obtains whole RRU that the user passes through in the unit interval, the said user's of overlay area length computation of the RRU that passes through according to each user translational speed;
Particularly, when the user in the sub-district or minizone when moving, NODE B obtains the RRU that the user passes through, and it is reported to RNC, so that RNC obtains the RRU that the user passes through in the Preset Time.RNC searches the overlay area length of the RRU that the user passes through from the RRU configuration information of prior acquisition; And the corresponding overlay area length of whole RRU that will the user passed through in Preset Time adds up, and can know total distance that this user carries out the Preset Time expert.RNC divided by preset time span, can know that the user is in the translational speed of this section in the time with the total distance that is obtained.Wherein, Preset Time length can for example realize through timer, and different time length can be set as required.
Step S300, the positional information of the RRU that passes through according to the user is judged said user's moving direction.
Particularly, obtain the current RRU that passes through of user (promptly carry out passed through when speed is judged up-to-date RRU), and inquiring user passing through K the RRU that is passed through before this RRU, wherein K is configurable parameter (natural number).For example when K being set being 3; Obtain the current RRU that passes through (k RRU among the A of sub-district); And obtain 3 RRU (being respectively k-1 RRU, a k-2 RRU and k-3 RRU among the A of sub-district) that formerly pass through, know that promptly the sequence of the RRU formation that this user passes through is " k-3, k-2; k-1, k ".RNC inquires about the positional information of these four RRU from the RRU configuration information of being stored, for example: the RRU from A ground to B ground be configured to " 1,2 ... k-3; k-2, k-1, k; k+1 ... ", the current moving direction that then can know this user for from A ground to B go; Otherwise, if RRU from A ground to B ground be configured to " ..., k+1, k, k-1, k-2, k-3 ..., 1 ", the current moving direction that then can know this user be from B ground to A go.
User mobility recognition methods according to the foregoing description; Because RNC has obtained and has stored the overlay area length of RRU and the positional information of RRU; So when identification user's translational speed; The RRU that only passes through in the unit interval through statistics of user's combines its overlay area length can calculate its translational speed; And the positional information of the RRU that only passes through according to the user can judge said user's moving direction, thus utilize this user mobility recognition methods can high accuracy, discern user's translational speed and direction effectively.
Further, in the user mobility recognition methods of the foregoing description, obtain the overlay area length of RRU and the step of positional information and specifically comprise:
Obtain the overlay area length of the path P ATH group of said RRU, PATH group id and position PATH group id between the relation corresponding with said RRU.
Particularly, some paths (PATH) are arranged under each RRU, these several PATH constitute a PATH group (according to concrete railway overlay area, the quantity of PATH can for one or more).For example a chain type railway private network is by the individual RRU cascade of N (natural number), and constitutes a PATH group by the individual PATH of M (natural number) under each RRU, and each PATH group region covered length is L rice, and has unique sign (ID) corresponding to the PATH group of each RRU.In the network planning stage, the PATH group ID of the RRU number under sub-district of NODE B side configuration, the PATH number under each RRU, each RRU and the overlay area length of each PATH group.RNC obtains these PATH configuration informations from NODE B.
Further, in the user mobility recognition methods of the foregoing description, obtain the RRU that the user passes through in the unit interval, specifically comprise according to the step of the said user's of overlay area length computation of said RRU translational speed:
Obtain the PATH group id of the PATH group that the user passes through in the Preset Time length; The overlay area length of the PATH group that the said PATH group id that adds up is corresponding is to obtain the total displacement of said user in Preset Time length, according to said total displacement and the said user's of said Preset Time length computation translational speed.
Particularly, user's (train) also moves between the PATH group in the sub-district of network or minizone when moving simultaneously.After new new sub-district is gone in user's access or switching, when between the PATH group, moving, report PATH group ID to RNC, the PATH that passes through in the timer of RNC according to appointment organizes number and reaches the translational speed of confirming the user with the corresponding overlay area length of each PATH group.
Fig. 3 is the flow chart of identification user moving speed in the user mobility recognition methods of the foregoing description.As shown in Figure 3, the identifying of user moving speed may further comprise the steps:
When step S201, user inserted the sub-district for the first time, NODE B reported current PATH group ID to RNC simultaneously;
Step S202, RNC receive first PATH group ID, and toggle speed judgement timer picks up counting;
No matter step S203 is to move in the sub-district or move the minizone, and the PATH group ID that NODE B immediate updating user inserts then reports to RNC after whenever being updated to new PATH group, so that RNC obtains the PATH group ID of renewal, and the PATH group ID number that receives of accumulative total;
Step S204 judges whether speed judgement timer is overtime, if not overtime, and repeated execution of steps S203 then; If overtime, execution in step S205 then;
Step S205, according to PATH group ID that is received and PATH configuration information judgement user's translational speed, and judgement user's speed state; Particularly, according to the following equation 1 calculate the user translational speed:
Wherein: V is the user moving speed that calculates, and unit for example is a meter per second; The PATH group number that N receives for accumulative total; I is illustrated in speed and adjudicates i the PATH group that the interior user of the time T of timer (unit for example is second) passes through; L
iBe the overlay area length of i PATH group, unit for example is a rice.Generally; The environment that high ferro is passed through roughly is divided into open area, tunnel area etc., under the fixing scene of each type, after network planning is confirmed; The length that PATH group covers also confirms, the overlay area length of this PATH group promptly is included in the configuration information of PATH group of RNC prior acquisition.
After obtaining user's translational speed, also can be according to the velocity amplitude V that calculates, and the speed state of pre-configured speed threshold value assesses user.Particularly, can 1 grade of thresholding or multistage thresholding be set, with 1 grade of thresholding speed be divided at a high speed below and low speed is that example describes for two grades according to demand:
Threshold value V is set
HighSpeedThred, if satisfy V>=V
HighSpeedThred, then the speed state of recording user is a fast state; If satisfy V＜V
HighSpeedThred, then the speed state of recording user is a lower-speed state.
Come the speed state of assesses user through the different speed threshold value is set, being convenient to provides different services according to user's friction speed state.
Step S206 with the counter O reset of accumulative total PATH group ID number, restarts speed judgement timer.
Further, in the user mobility recognition methods of the foregoing description, the overlay area length of the PATH group that the said PATH group id that adds up is corresponding specifically comprises with the step of obtaining the total displacement of said user in Preset Time length:
The PATH group corresponding for said PATH group id increases the compensated distance value;
The overlay area length of the PATH group that the said PATH group id that adds up is corresponding and compensated distance value are to obtain the total displacement of said user in Preset Time length.
Particularly, in the step S205 of the foregoing description, adopt following formula 2 to calculate user's translational speed:
Wherein, Δ
iIt is the compensated distance that is applied to i PATH group.In the actual scene, the overlay area length L of i PATH group
iNot necessarily evenly absolute; And when timer starts and stops; The user not necessarily just is positioned at the beginning and the end of a PATH group; And also possibly have some errors for the bend zone, therefore each PATH group is applied the accuracy that compensated distance (unit for example is rice) can improve the translational speed that calculates.Wherein, Δ
iCan take multiple mode to set, for example for adopting the randomization value, or according to carrying out the differentiation value in the position of the PATH, and, Δ
iCan on the occasion of or negative value, it is preferably relevant with the PATH overlay environment, and when PATH overlay area length more hour, span width that preferably should value should be more little.
Further, in the user mobility recognition methods of the foregoing description, the positional information of the said RRU that passes through according to the user judges that the step of said user's moving direction specifically comprises:
Position according between the PATH group id of the PATH group id of the current PATH group of passing through of said user and at least one PATH group of formerly passing through concerns, judges said user's moving direction.
Particularly; RNC reaches the PATH group lastest imformation of in user's moving process, obtaining according to the PATH configuration set information of obtaining; Contrast in current PATH group ID and the historical record the individual PATH group of K (natural number) ID forward, adjudicate user's moving direction based on the ID sequence of this K+1 PATH group ID formation.
For example, from A ground to B ground, PATH group ID sequence be " 1,2 ... m-3, m-2; m-1, m, m+1, m+2, m+3 ... "; Current PATH group ID is m, if 3 PATH group ID are followed successively by " m-3, m-2, m-1 " forward, the current moving direction that then can know this user for from A ground to B go; Otherwise 3 PATH group ID are followed successively by " m+3, m+2, m+1 " forward, the current moving direction that then can know this user for from B ground to A go.
Wherein, for fear of the table tennis problem that PATH group ID reports, in order to guarantee the promptness of direction judgement, the K value preferably is set to 3～6 simultaneously.
The present invention also provides a kind of RNC, comprising: RRU configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The translational speed identification module is used for obtaining the RRU that the user passes through in the unit interval from NODE B, the said user's of overlay area length computation of the RRU that passes through according to said user translational speed;
The moving direction identification module, the positional information of the RRU that is used for passing through according to the user is judged said user's moving direction.
The RNC that uses the foregoing description carries out the process of user mobility identification and the identical flow process of user mobility recognition methods employing of previous embodiment, so locate to repeat no more.
RNC according to the foregoing description; Owing to obtained and stored the overlay area length of RRU and the positional information of RRU; So when identification user's translational speed; The RRU that only passes through in the unit interval through statistics of user's combines its overlay area length can calculate its translational speed; And the positional information of the RRU that only passes through according to the user can judge said user's moving direction, thus utilize this user mobility recognition methods can high accuracy, discern user's translational speed and direction effectively.
Further, in the RNC of the foregoing description, the overlay area length of said RRU and the positional information of said RRU comprise: the overlay area length of the PATH group of said RRU, the PATH group id corresponding with said RRU and the relation of the position between the PATH group id.
Further; In the RNC of the foregoing description; The total displacement acquiring unit is used to obtain the PATH group id of the PATH group that the user passes through in the Preset Time length, and the overlay area length of the PATH group that the said PATH group id that adds up is corresponding is to obtain the total displacement of said user in Preset Time length;
The translational speed computing unit is used for the translational speed according to said total displacement and the said user of said Preset Time length computation.
Further, in the RNC of the foregoing description, PATH group id acquiring unit is used to obtain the PATH group id of the current PATH group of passing through of said user and the PATH group id of at least one PATH group of formerly passing through;
The moving direction recognition unit is used for concerning according to the position between the PATH group id of the PATH group id of said current PATH group of passing through and at least one PATH group of formerly passing through, and judges said user's moving direction.
The present invention also provides a kind of base station, comprising:
The configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The lastest imformation acquisition module; Be used to obtain whole RRU that the user passes through in the unit interval and be sent to said RNC; So that the said user's of overlay area length computation of RRU that said RNC passes through according to user in the said unit interval and said RRU translational speed, and the positional information of the RRU that passes through according to said user is judged said user's moving direction.
Use the base station of the foregoing description and carry out the process of user mobility identification and the identical flow process of user mobility recognition methods employing of previous embodiment, so locate to repeat no more.
According to the base station of the foregoing description, can be used in provide effectively, user mobility assessment accurately.
The present invention also provides a kind of user mobility recognition system, comprises the base station of RNC and the foregoing description of user, above-mentioned arbitrary embodiment.
According to the user mobility recognition system of the foregoing description, the translational speed of assesses user and direction efficiently and accurately.
What should explain at last is: above embodiment is only in order to explaining technical scheme of the present invention, but not to its restriction; Although with reference to previous embodiment the present invention has been carried out detailed explanation, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these are revised or replacement, do not make the spirit and the scope of the essence disengaging various embodiments of the present invention technical scheme of relevant art scheme.
Claims (11)
1. a user mobility recognition methods is characterized in that, comprising:
Obtain the overlay area length of RF remote unit RRU and the positional information of said RRU;
Obtain whole RRU that the user passes through in the unit interval, according to the said user's of overlay area length computation of each RRU translational speed;
The positional information of the RRU that passes through according to the user is judged said user's moving direction.
2. user mobility recognition methods according to claim 1 is characterized in that, the overlay area length of the said RRU of obtaining and the step of positional information specifically comprise:
Obtain the overlay area length of the path P ATH group of said RRU, PATH group id and position PATH group id between the relation corresponding with said RRU.
3. user mobility recognition methods according to claim 2 is characterized in that, saidly obtains whole RRU that the user passes through in the unit interval, specifically comprises according to the step of the said user's of overlay area length computation of each RRU translational speed:
Obtain the PATH group id of the PATH group that the user passes through in the Preset Time length; The overlay area length of the PATH group that the said PATH group id that adds up is corresponding is to obtain the total displacement of said user in Preset Time length, according to said total displacement and the said user's of said Preset Time length computation translational speed.
4. according to claim 2 or 3 described user mobility recognition methodss, it is characterized in that the positional information of the said RRU that passes through according to the user judges that the step of said user's moving direction specifically comprises:
Position according between the PATH group id of the PATH group id of the current PATH group of passing through of said user and at least one PATH group of formerly passing through concerns, judges said user's moving direction.
5. user mobility recognition methods according to claim 3 is characterized in that, the overlay area length of the PATH group that the said PATH group id that adds up is corresponding specifically comprises with the step of obtaining the total displacement of said user in Preset Time length:
The PATH group corresponding for said PATH group id increases the compensated distance value;
The overlay area length of the PATH group that the said PATH group id that adds up is corresponding and compensated distance value are to obtain the total displacement of said user in Preset Time length.
6. a radio network controller (RNC) is characterized in that, comprising:
RRU configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The translational speed identification module is used for from the base station that NODE B obtains whole RRU that the user passes through in the unit interval, the said user's of overlay area length computation of each RRU that passes through according to said user translational speed;
The moving direction identification module, the positional information of the RRU that is used for passing through according to the user is judged said user's moving direction.
7. RNC according to claim 6; It is characterized in that the overlay area length of said RRU and the positional information of said RRU comprise: the overlay area length of the PATH group of said RRU, the PATH group id corresponding and the relation of the position between the PATH group id with said RRU.
8. RNC according to claim 7 is characterized in that, said translational speed identification module comprises:
The total displacement acquiring unit is used to obtain the PATH group id of the PATH group that the user passes through in the Preset Time length, and the overlay area length of the PATH group that the said PATH group id that adds up is corresponding is to obtain the total displacement of said user in Preset Time length;
The translational speed computing unit is used for the translational speed according to said total displacement and the said user of said Preset Time length computation.
9. according to claim 7 or 8 described RNC, it is characterized in that said moving direction identification module comprises:
PATH group id acquiring unit is used to obtain the PATH group id of the current PATH group of passing through of said user and the PATH group id of at least one PATH group of formerly passing through;
The moving direction recognition unit is used for concerning according to the position between the PATH group id of the PATH group id of said current PATH group of passing through and at least one PATH group of formerly passing through, and judges said user's moving direction.
10. a base station is characterized in that, comprising:
The configuration information acquisition module is used to obtain the overlay area length of RRU and the positional information of said RRU;
The lastest imformation acquisition module; Be used to obtain whole RRU that the user passes through in the unit interval and be sent to said RNC; So that the said user's of overlay area length computation of whole RRU that said RNC passes through according to user in the said unit interval and each RRU translational speed, and the positional information of the RRU that passes through according to said user is judged said user's moving direction.
11. a user mobility recognition system is characterized in that, comprises the user, like arbitrary described RNC of claim 6～9 and base station as claimed in claim 10.
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| CN105636127A (en) * | 2014-11-24 | 2016-06-01 | 普天信息技术有限公司 | Cell switching method and network side device |
| CN106817678A (en) * | 2015-12-01 | 2017-06-09 | 中国移动通信集团上海有限公司 | A kind of method and apparatus of the treatment of the terminal of resident high ferro private network |
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Application publication date: 20120905 |