CN109996257B - Pilot frequency start-up threshold optimization method, device, equipment and medium - Google Patents
Pilot frequency start-up threshold optimization method, device, equipment and medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a pilot frequency start-up threshold optimization method, a pilot frequency start-up threshold optimization device, pilot frequency start-up threshold optimization equipment and a pilot frequency start-up threshold optimization medium. The method comprises the following steps: dividing the sites in the area to be optimized into road test sites and non-road test sites, acquiring data for the road test sites in an ATU (automatic train unit) road test mode, and acquiring MR (magnetic resonance) soft acquisition data for the non-road test sites; respectively carrying out cluster statistics on the information related to the levels of the road test station and the non-road test station and the A3 switching point service cells, and respectively calculating the level mean values of the A3 switching points of the road test station and the non-road test station of each service cell; and pilot frequency start-testing thresholds of the road testing station and the non-road testing station are respectively set. The technical scheme of the invention can maximize the coverage effect and avoid the influence of users around the road.
Description
Technical Field
The invention relates to a wireless network optimization method in the technical field of mobile communication, in particular to a pilot frequency threshold measurement optimization method and a pilot frequency threshold measurement optimization device.
Background
Under the condition of the pilot frequency networking of an LTE (long term evolution) system, UE (user equipment) mainly carries out uninterrupted periodic measurement on a pilot frequency cell through measurement gap configuration in measurement configuration issued by the system. When the same priority different frequency switching is carried out in the LTE system, the mode of A2+ A3 events is adopted. An event a2, that is, when the serving cell level is lower than the inter-frequency cell measurement start threshold, the inter-frequency measurement is triggered; an a3 event, i.e. when the neighbor cell level is higher than the serving cell level by a certain relative value, an inter-frequency handover is triggered.
In the prior art, in the routine road test work order processing, it is found that in the road test work order switching problem, the threshold a2 (the pilot frequency starting measurement threshold) is unreasonable, and the UE does not initiate pilot frequency measurement in time, so that the UE occupies a cell with the best coverage, and the weak coverage and low rate caused by the reason are the most frequent, and account for 64% of the switching problem. The A2 value is set to be too high, so that pilot frequency measurement is started too early, the measurement period is too long, and the influence on the speed is serious; a2 is set too low, which causes untimely switching, the quality of the original cell signal is deteriorated, and the rate is also influenced; however, the requirements of users in urban ATU (Automatic Test Unit) road and non-road residential areas are different, and in order to ensure smooth switching of different users and avoid an excessively long pilot frequency measurement period, fine optimization based on sector coverage level needs to be performed on the a2 threshold in different scenes.
The current setting and optimizing method of the A2 threshold mainly refers to the drive test data and sets an empirical value as a main value. This method has the following problems:
the a2 threshold setting lacks quantitative grounds: the current A2 threshold adjustment is mainly determined by experience values of field RF optimization personnel, the threshold is increased or decreased in certain steps according to a drive test result and the phenomenon of too early or too late switching, certain randomness exists, large data support does not exist, the most reasonable switching threshold value on the field cannot be set quantitatively, the difficulty is high, the consumed time is long, the method is limited by the experience of the field personnel, large errors can exist for the personnel with insufficient experience, and the adjustment effect is poor.
The a2 threshold setting is not sub-scene refinement setting: for areas with different requirements such as roads and depth coverage, scenes are not distinguished when the threshold of A2 is set, and the requirements of different scenes are difficult to meet. The road test takes coverage and speed as first requirements, while residential areas and the like need deep coverage, capacity needs to be considered, different user habits exist, and personalized setting is difficult to perform by using the same optimization method.
In summary, the prior art still does not well solve the problem of effectively configuring the inter-frequency cell measurement starting threshold.
Disclosure of Invention
The embodiment of the invention provides a pilot frequency threshold-start optimization method, a pilot frequency threshold-start optimization device, pilot frequency threshold-start optimization equipment and a pilot frequency threshold-start optimization medium, which can distinguish a road test station from a non-road test station according to different requirements and respectively carry out threshold-start optimization on the two stations by adopting different data sources.
In a first aspect, an embodiment of the present invention provides a method for optimizing a threshold of pilot frequency measurement, where the method includes:
dividing the stops in the area to be optimized into a road test stop and a non-road test stop, collecting information related to the level of a serving cell of an A3 switching point by adopting an ATU road test mode for the road test stop, and collecting information related to the level of the serving cell of the A3 switching point in MR soft collection data for the non-road test stop;
respectively carrying out cluster statistics on the road test station and the non-road test station and the information related to the A3 switching point service cell level, thereby respectively calculating the level mean value of the road test station A3 switching point and the level mean value of the non-road test station A3 switching point of each service cell;
in each service cell, setting the average value of the A3 switching point level of the road test station as the pilot frequency start test threshold of the road test station, and setting the average value of the A3 switching point level of the non-road test station as the pilot frequency start test threshold of the non-road test station.
In a second aspect, an embodiment of the present invention provides an apparatus for optimizing inter-frequency threshold start-up measurement, where the apparatus includes:
the data acquisition module is used for dividing the stops in the area to be optimized into a road test stop and a non-road test stop, acquiring information related to the level of a service cell of an A3 switching point by adopting an ATU road test mode for the road test stop, and acquiring information related to the level of a service cell of an A3 switching point in MR soft acquisition data for the non-road test stop;
the data processing module is used for respectively carrying out cluster statistics on the road test station and the non-road test station and the information related to the A3 switching point service cell level, so as to respectively calculate the road test station A3 switching point level mean value and the non-road test station A3 switching point level mean value of each service cell;
a start-test threshold optimization module, configured to set, in each serving cell, the average value of the A3 switching point levels of the road test station as the pilot frequency start-test threshold of the road test station, and set the average value of the A3 switching point levels of the non-road test station as the pilot frequency start-test threshold of the non-road test station
In a third aspect, an embodiment of the present invention provides a device for optimizing a threshold for pilot frequency measurement, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.
Aiming at the problem that quantitative basis is lacked in A2 threshold setting in the prior art, the method, the device, the equipment and the medium for optimizing the threshold of pilot frequency start measurement provided by the embodiment of the invention directly extract and count switching point field strength information of a user through a network optimization big data soft mining platform and road measurement data, and the switching point field strength information is used as a numerical basis for threshold setting, so that setting basis and quantification are achieved. Aiming at the problem that scene-based fine setting is not performed on A2 threshold setting in the prior art, a road test station and a non-road test station are distinguished from each other from the beginning of data acquisition, for the non-road test station, MR soft acquisition big data is used, the threshold meets the average value of sector users, and the coverage effect is maximized; for the road test station of the road test, the road test data is used, so that the influence on users around the road is avoided, and meanwhile, the data is the same as the ATU test data, so that the downloading speed, the road coverage and other ATU indexes can be better guaranteed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram illustrating an overview of a pilot threshold setting method according to an embodiment of the present invention;
FIG. 2 illustrates a pilot frequency threshold optimization method according to an embodiment of the present invention;
fig. 3 shows a pilot frequency threshold optimization apparatus according to another embodiment of the present invention;
fig. 4 shows a pilot frequency threshold optimization device according to another embodiment of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Aiming at the problems that the A2 threshold setting in the prior art lacks quantitative basis and scene-based fine setting is not carried out, the goal of pilot frequency threshold measurement optimization of the invention is at least one of the following: switching is timely, GAP is shortest, and success rate is highest.
In order to achieve at least one of the above purposes, an effective a2 threshold setting method needs to be found, which can meet the requirement of ATU test, ensure the continuity of road coverage, always occupy the strongest signal, and improve the coverage rate and the download rate; but also can give consideration to user requirements, meet the switching threshold requirements of most users under the sector and ensure user perception. Based on the method, an A2 threshold setting method based on multi-dimensional data such as soft mining and road testing is provided by relying on MR big data and road testing data, so that the adjustment of an A2 threshold is based, and the setting randomness is avoided.
First, a method for setting a threshold for pilot frequency start measurement according to an embodiment of the present invention is generally described, as shown in fig. 1.
In the data acquisition stage (drive test and MR soft acquisition), in the area to be optimized, the A2 threshold is set to be the maximum, so that the user can always carry out measurement, meanwhile, the network measurement starts the MR soft acquisition measurement, and the service cell level of an A3 switching point in the MR data of the user is acquired; and simultaneously, carrying out road test in the area to be optimized, and statistically deriving the level value of the switching point service cell in the test LOG data. And after the soft mining and road test data acquisition is finished, restoring the A2 threshold back-off.
In the data processing stage, the soft mining data and the road test data are respectively clustered and counted, and the A3 switching point level mean value of each cell is respectively calculated. And simultaneously, respectively establishing a base station library for the road station and the non-road station of the area to be optimized.
In the scheme making and implementing stage, the road station is matched with the drive test data, and the A2 starting test threshold of the road station is set as the average value of the A3 switching point levels of the drive test data; the non-road-site is matched with the soft-acquisition data, and the A3 switching point level of the soft-acquisition MR data is set as the A2 start-measuring threshold of the non-road-site.
With reference to fig. 2, the pilot frequency threshold optimization method according to an embodiment of the present invention includes:
and S1, data acquisition: the method comprises the steps of dividing stops in an area to be optimized into a road test stop and a non-road test stop, collecting information related to the level of a serving cell of an A3 switching point by adopting an ATU road test mode for the road test stop, and collecting information related to the level of the serving cell of the A3 switching point in MR soft data for the non-road test stop.
And S2 data processing: and respectively carrying out cluster statistics on the road test station and the non-road test station and the information related to the A3 switching point service cell level, thereby respectively calculating the level mean value of the road test station A3 switching point and the level mean value of the non-road test station A3 switching point of each service cell.
S3 threshold optimization is started: in each service cell, setting the average value of the A3 switching point level of the road test station as the pilot frequency start test threshold of the road test station, and setting the average value of the A3 switching point level of the non-road test station as the pilot frequency start test threshold of the non-road test station.
The pilot frequency threshold test optimization method is respectively set according to road test data and soft mining data. For non-road test sites, MR soft acquisition big data is used, the threshold meets the average value of sector users, and the coverage effect is maximized; for the road test station, the road test data is used, the influence of users around the road is avoided, the data source is the same as the ATU test, and the ATU indexes such as download rate, road coverage and the like can be better guaranteed.
Preferably, in the data acquisition process, in order to acquire enough data samples more effectively, the pilot frequency start measurement threshold in the region to be optimized may be set to a maximum value, so that the user performs measurement all the time. And after the data acquisition is finished, the different-frequency starting threshold back-off is restored.
Preferably, in order to ensure the validity and the available rows of data, in principle the more data collected, the more accurate the optimization results. However, since the data collection process has a certain influence on the user, two aspects are considered together to determine the appropriate data collection period. Through multiple practices of the invention, it is believed that for non-road test stations, the data acquisition period should be at least a predetermined length of time, such as 24 hours; and for the road test station, the data acquisition times should not be lower than a predetermined number of times, for example, three times.
Preferably, for a road test station, the data collected should include at least: the RSRP before switching, the RSRP after switching, a switching target cell, a service cell CGI and a neighboring cell CGI. And the road side data is uploaded to the ATU platform after being tested by an engineer on site. In the data processing stage, information such as RSRP before and after a switching point, a switching target cell and the like is directly derived through a road network channel, then frequency point information is found out according to CGI and vlookup of a service cell and a neighboring cell, and whether pilot frequency switching belongs to can be judged according to the information. Only the pilot frequency switching data is reserved as original data, then data perspective (averaging) is performed according to the CGI of the serving cell, and the average RSRP of each CGI switching point is calculated and used as a basis for setting the drive test area a 2.
Preferably, for the off-road test station, during the data acquisition process, the information obtained from the MR soft acquisition data at least includes: a3 switching point RSRP, service cell frequency point, adjacent cell frequency point and service cell CGI. And in the data processing stage, judging whether the pilot frequency switching belongs to the pilot frequency switching according to the frequency point data of the service cell and the adjacent cell. Only the pilot frequency switching data is reserved as original data, then the total number of sampling points of each row of data is calculated, the value of the average RSRP is calculated, data perspective is carried out according to the CGI of the service cell, and the average RSRP value of each CGI switching point is calculated and serves as the basis for setting the non-drive test area A2.
Referring to fig. 3, according to another embodiment of the present invention, the apparatus 100 for threshold optimization for pilot frequency measurement includes:
the data acquisition module 101 is configured to divide a station in the area to be optimized into a road test station and a non-road test station, acquire information related to the level of the serving cell at the A3 switching point in an ATU road test mode for the road test station, and acquire information related to the level of the serving cell at the A3 switching point in MR soft acquisition data for the non-road test station.
The data processing module 102 is configured to perform cluster statistics on the information related to the levels of the road test station and the non-road test station and the A3 switching point serving cells, so as to calculate a level mean of the road test station A3 switching point and a level mean of the non-road test station A3 switching point of each serving cell.
The start-test threshold optimization module 103 is configured to set, in each serving cell, the average value of the level of the A3 switching point of the road test station as the pilot frequency start-test threshold of the road test station, and set the average value of the level of the A3 switching point of the non-road test station as the pilot frequency start-test threshold of the non-road test station.
In addition, the pilot frequency threshold measurement optimization method according to the embodiment of the present invention described in conjunction with fig. 1 and fig. 2 may be implemented by a pilot frequency threshold measurement optimization device. Fig. 4 shows a schematic diagram of a hardware structure of the pilot frequency threshold measurement optimizing device according to the embodiment of the present invention.
The inter-frequency threshold optimization device may include a processor 401 and a memory 402 having stored computer program instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement any one of the pilot frequency threshold optimization methods in the above embodiments.
In one example, the inter-frequency threshold optimization device may further include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.
In addition, in combination with the pilot frequency threshold measurement optimization method in the foregoing embodiment, an embodiment of the present invention may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any one of the above-described embodiments of the inter-frequency threshold optimization methods.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.
Claims (8)
1. A pilot frequency threshold measurement optimization method is characterized by comprising the following steps:
dividing the stops in the area to be optimized into a road test stop and a non-road test stop, collecting information related to the level of a serving cell of an A3 switching point by adopting an ATU road test mode for the road test stop, and collecting information related to the level of the serving cell of the A3 switching point in MR soft collection data for the non-road test stop;
respectively carrying out cluster statistics on the road test station and the non-road test station and the information related to the A3 switching point service cell level, thereby respectively calculating the level mean value of the road test station A3 switching point and the level mean value of the non-road test station A3 switching point of each service cell;
in each service cell, setting the average value of the A3 switching point level of the road test station as the pilot frequency start test threshold of the road test station, and setting the average value of the A3 switching point level of the non-road test station as the pilot frequency start test threshold of the non-road test station.
2. The method of claim 1, further comprising:
during the period of collecting information related to the level of a service cell at the A3 switching point, keeping the pilot frequency starting measurement threshold in the area to be optimized as the maximum value, and enabling a user to always perform pilot frequency measurement;
and after the acquisition is finished, restoring the pilot frequency start measuring threshold.
3. The method of claim 2, wherein the information related to the a3 handover point serving cell level is collected for a non-road test site for a period of at least a predetermined length of time; for the road test station, the number of times of collecting the information related to the a3 handover point serving cell level is not less than a predetermined number of times.
4. The method of claim 3, wherein the information related to the A3 handover point serving cell level for a road test site comprises: one or more of RSRP before switching, RSRP after switching, a switching target cell, a service cell CGI and a neighboring cell CGI;
the clustering the information related to the levels of the road test station, the non-road test station and the A3 switching point serving cell respectively comprises the following steps: and judging whether the switching point belongs to pilot frequency switching or not according to the information related to the level of the service cell of the A3 switching point, only reserving pilot frequency switching data, carrying out data perspective according to the CGI of the service cell, and calculating the average RSRP value of each CGI switching point to be used as the level average value of the A3 switching point.
5. The method of claim 3, wherein the information related to the A3 handover point serving cell level for the off-road test site comprises: a3 one or more of RSRP of switching point, serving cell frequency point, neighboring cell frequency point and serving cell CGI;
the clustering the information related to the levels of the road test station, the non-road test station and the A3 switching point serving cell respectively comprises the following steps: judging whether the data belong to pilot frequency switching or not according to the data of the frequency point of the service cell and the frequency point of the adjacent cell, only reserving pilot frequency switching data, then calculating the product of the total number of sampling points of each row of data multiplied by the average RSRP, and then carrying out data perspective according to the CGI of the service cell to calculate the average RSRP value of each CGI switching point as the average value of the level of the A3 switching point.
6. An inter-frequency threshold measurement optimization apparatus, comprising:
the data acquisition module is used for dividing the stops in the area to be optimized into a road test stop and a non-road test stop, acquiring information related to the level of a service cell of an A3 switching point by adopting an ATU road test mode for the road test stop, and acquiring information related to the level of a service cell of an A3 switching point in MR soft acquisition data for the non-road test stop;
the data processing module is used for respectively carrying out cluster statistics on the road test station and the non-road test station and the information related to the A3 switching point service cell level, so as to respectively calculate the road test station A3 switching point level mean value and the non-road test station A3 switching point level mean value of each service cell;
and the start-testing threshold optimization module is used for setting the average value of the level of the A3 switching point of the road test station as the pilot frequency start-testing threshold of the road test station and setting the average value of the level of the A3 switching point of the non-road test station as the pilot frequency start-testing threshold of the non-road test station in each service cell.
7. An inter-frequency threshold measurement optimization device, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-5.
8. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-5.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188708A (en) * | 2011-12-27 | 2013-07-03 | 中兴通讯股份有限公司 | Pilot frequency measurement method, pilot frequency measurement system, mobile terminal and base station |
| CN105592495A (en) * | 2014-10-24 | 2016-05-18 | 中兴通讯股份有限公司 | Method and device for configuring different frequency measurement threshold |
| CN106851680A (en) * | 2015-12-04 | 2017-06-13 | 中国移动通信集团山东有限公司 | A kind of alien-frequency district measurement starts the optimization method and device of thresholding |
-
2017
- 2017-12-30 CN CN201711492681.8A patent/CN109996257B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103188708A (en) * | 2011-12-27 | 2013-07-03 | 中兴通讯股份有限公司 | Pilot frequency measurement method, pilot frequency measurement system, mobile terminal and base station |
| WO2013097432A1 (en) * | 2011-12-27 | 2013-07-04 | 中兴通讯股份有限公司 | Pilot frequency measurement method and system, mobile terminal and base station |
| CN105592495A (en) * | 2014-10-24 | 2016-05-18 | 中兴通讯股份有限公司 | Method and device for configuring different frequency measurement threshold |
| CN106851680A (en) * | 2015-12-04 | 2017-06-13 | 中国移动通信集团山东有限公司 | A kind of alien-frequency district measurement starts the optimization method and device of thresholding |
Non-Patent Citations (2)
| Title |
|---|
| 基于MR分析的无线网络优化测试方法;邢志宇;《移动通信》;20170815;第41卷(第15期);全文 * |
| 大数据分析在4G 无线网络优化中的应用;刘乐厅等;《内蒙古通信学会2017年优秀论文集》;20171026;全文 * |
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