CN108307398B - Method and system for identifying blocking condition of base station antenna - Google Patents
Method and system for identifying blocking condition of base station antenna Download PDFInfo
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- CN108307398B CN108307398B CN201710027696.0A CN201710027696A CN108307398B CN 108307398 B CN108307398 B CN 108307398B CN 201710027696 A CN201710027696 A CN 201710027696A CN 108307398 B CN108307398 B CN 108307398B
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Abstract
The invention discloses a method and a system for identifying the blocking condition of a base station antenna. The method for identifying the blocking condition of the base station antenna comprises the following steps: acquiring a plurality of sampling points of different reference signal receiving power intervals in a near point region of a base station antenna from LTE-MR data measured aiming at a base station cell; determining the ratio of each sampling point number to the sum of the sampling point numbers according to the sampling point numbers, and determining a first variance of the ratio of the sampling point numbers; selecting a sampling point number subset from the plurality of sampling points according to the first variance, and determining a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and comparing the second variance to a threshold to determine whether the base station antenna is blocked.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and a system for identifying a blocking condition of a base station antenna.
Background
Base station antennas are an important component of wireless communication systems. The base station antenna may be blocked by other objects for various reasons, resulting in rapid attenuation of the base station receive/transmit signals, thereby seriously affecting the coverage and service quality of the mobile communication network.
Conventionally, in order to determine the blocking condition of the base station antenna, a worker needs to perform a field ergodic survey to determine whether the base station antenna is blocked by the naked eye, or to preliminarily determine whether the base station antenna is likely to be blocked by closely observing the signal strength or manually analyzing the signal characteristics in the test record based on road test (DT) data or indoor ergodic test (CQT), and then to perform a field survey check while standing.
Disclosure of Invention
The invention provides a method and a system for identifying the blocking condition of a base station antenna.
According to an aspect of the present invention, there is provided a method for identifying a blocking condition of a base station antenna, including: acquiring a plurality of sampling points of different reference signal receiving power intervals in a near point region of a base station antenna from LTE-MR data measured aiming at a base station cell; determining the ratio of each sampling point number to the sum of the sampling point numbers according to the sampling point numbers, and determining a first variance of the ratio of the sampling point numbers; selecting a sampling point number subset from the plurality of sampling points according to the first variance, and determining a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and comparing the second variance to a threshold to determine whether the base station antenna is blocked.
According to another aspect of the present invention, there is provided a system for identifying a blocking condition of a base station antenna, comprising: a data acquisition unit configured to acquire a plurality of sampling points of different reference signal reception power intervals in a near point region of a base station antenna from LTE-MR data measured for a base station cell; a first variance determining unit configured to determine a ratio of each sampling point number to a sum of the plurality of sampling point numbers according to the plurality of sampling point numbers, and determine a first variance of the ratio of the plurality of sampling point numbers; a second variance determining unit configured to select a sampling point number subset from the plurality of sampling points according to the first variance, and determine a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and an identifying unit configured to compare the second variance with a threshold to determine whether the base station antenna is blocked.
According to still another aspect of the present invention, there is provided a system for identifying a blocking condition of a base station antenna, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: acquiring a plurality of sampling points of different reference signal receiving power intervals in a near point region of a base station antenna from LTE-MR data measured aiming at a base station cell; determining the ratio of each sampling point number to the sum of the sampling point numbers according to the sampling point numbers, and determining a first variance of the ratio of the sampling point numbers; selecting a sampling point number subset from the plurality of sampling points according to the first variance, and determining a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and comparing the second variance to a threshold to determine whether the base station antenna is blocked.
According to the method, the blocking condition of the base station antenna is automatically identified by utilizing the LTE-MR large sample data and determining the distribution concentration of the signal intensity interval and the variance of the reference signal receiving power, and manual field operation is not needed. In addition, the invention can also utilize the data sent by the user terminal to check the blocking condition of the base station antenna, thereby obtaining more accurate judgment results.
Drawings
The invention may be better understood from the following description of specific embodiments thereof taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart illustrating a method of identifying a blocking condition of a base station antenna according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating mr. tadvrrp sample point number data according to an embodiment of the present invention;
fig. 3 is a diagram illustrating an example of mr. tadvrrp sample point numbers according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating the relationship between the timing advance and the distance of a user terminal from a base station antenna according to an embodiment of the present invention;
fig. 5 is a diagram illustrating a range of reference signal received powers according to an embodiment of the present invention;
fig. 6 is a diagram showing a ratio of signal intensity interval distribution concentration to the number of sampling points according to an embodiment of the present invention;
fig. 7 is a diagram illustrating a signal intensity interval distribution concentration, a second variance, and the number M of sample points of the subset of sample points according to an embodiment of the present invention;
FIG. 8 is a flow chart illustrating a method of identifying a blocking condition of a base station antenna according to an embodiment of the present invention;
fig. 9 shows an object-attenuation loss table according to an embodiment of the present invention.
Fig. 10 is a schematic diagram illustrating the relationship of the concentration, the second ratio, the third ratio, and the blocking type according to an embodiment of the present invention.
FIG. 11 is a block diagram illustrating a system for identifying blockage of a base station antenna in accordance with an embodiment of the present invention;
FIG. 12 is a block diagram illustrating a system for identifying blockage of a base station antenna in accordance with an embodiment of the present invention;
fig. 13 is a block diagram illustrating an exemplary hardware architecture of a computing device capable of implementing the method and system for identifying blocking of a base station antenna in accordance with embodiments of the present invention.
Detailed Description
Features and exemplary embodiments of various aspects of the present invention will be described in detail below. The following description encompasses numerous specific details in order to provide a thorough understanding of the present invention. It will be apparent, however, 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 clearer understanding of the present invention by illustrating examples of the present invention. The present invention is by no means limited to any specific configuration set forth below, but covers any modifications, substitutions, and improvements of the relevant elements or components without departing from the spirit of the invention.
The invention provides a method and a system for identifying the blocking condition of a base station antenna, which are used for automatically identifying the blocking condition of the base station antenna by determining the distribution concentration of a signal intensity interval and the variance of the receiving power of a reference signal by using LTE-MR large sample data without manual field operation. In addition, the invention can also utilize the data sent by the user terminal to check the blocking condition of the base station antenna, thereby obtaining more accurate judgment results. The following describes a method and a system for identifying the blocking condition of a base station antenna according to an embodiment of the present invention in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart illustrating a method of identifying a blocking condition of a base station antenna according to an embodiment of the present invention. As shown in fig. 1, in step 101, a plurality of sampling points of different reference signal received power intervals in a near point region of a base station antenna are acquired from LTE-MR data measured for a base station cell.
In one embodiment, the timing advance and reference signal received power data (i.e., MR. tadvrsrp data, which is two-dimensional data) is selected from the LTE-MR data, and the MR. tadvrrp sampling point number data is obtained by counting the MR. tadvrrp data for a period of time (e.g., one day) in units of a single base station cell, as shown in fig. 2 to 5. Fig. 2 shows mr.tadvrrp sample point number data, fig. 3 shows an example of mr.tadvrrp sample point number, fig. 4 shows a relationship between a time advance amount (i.e., mr.tadvxx) and a distance of a user terminal from a base station antenna, and fig. 5 shows a range of reference signal received power (i.e., mr.rsrpxx).
The mr. tadvxxrsrpxx in fig. 2 represents the number of sample points, see fig. 3, which is an integer greater than or equal to zero.
In fig. 2, mr.tadvxx represents a time advance range from which the distance between the ue and the base station antenna can be obtained. In particular, reference may be made to fig. 4. For example, from 0 to 192Ts per 48Ts is an interval, the corresponding distance is from O meters to 938.88 meters per 234.72 meters, corresponding to mr.tadv.00 to mr.tadv.03; an interval from 192Ts to 384Ts per 96Ts, and a corresponding interval from 938.88 meters to 1877.76 meters per 469.44 meters, corresponding to mr.tadv.04 and mr.tadv.05; one interval from 384Ts to 960Ts per 192Ts, one interval from 1877.76 meters to 4694.4 meters per 938.88 meters for corresponding mr.tadv.06 to mr.tadv.08; 1088Ts from 960Ts to 2048Ts is an interval, 5320.32 meters corresponding to a distance from 4694.4 meters to 10014.72 meters is an interval, corresponding to mr.tadv.09; a Ts greater than 2048 is an interval corresponding to a distance greater than 10014.72 meters, corresponding to mr. tadv.10.
Rsrpxx in fig. 2 denotes the reference signal received power range. In particular, reference may be made to fig. 5. For example, an interval corresponding to mr.rsrp.00 when its value is less than-110 dBm; when the value is larger than-60 dBm, the interval is corresponding to MR.RSRP.11, and when the value is between-110 dBm and-60 dBm, the step length is 5dBm, corresponding to MR.RSRP.01 to MR.RSRP.10.
In practical applications, the closer the obstacle is to the base station antenna, the greater the impact of the obstacle, and the closer the user terminal is to the base station antenna, the more concentrated the user is. Therefore, in one embodiment, the sampling point numbers of different reference signal receiving power intervals in the mr.tadvrrp.00 (0-234.72 m from the antenna, namely the antenna near point region) are obtained according to the mr.tadvrrp sampling point number data and are sorted, so as to obtain the first N sampling point numbers (N is a positive integer greater than or equal to 2, for example, 4) which are recorded as { Num @Top1，NumTop2，....，NumTopN}。
In step 102, a ratio of each sample point number to a sum of the plurality of sample point numbers is determined from the plurality of sample point numbers, and a first variance of the ratio of the plurality of sample point numbers is determined.
In one embodiment, the first N sample points are normalized, i.e. the sum of the N sample points and the N sample points respectively (i.e.,
) The division yields the ratio of the number of each sample point to the sum of the number of N sample points (i.e., { Rate }Top1，RateTop2，....，RateTopN}，
). The first variance of the ratio is calculated according to the following equation 1.
the first variance may reflect a signal intensity interval distribution concentration of the near point region. Fig. 6 is a diagram illustrating a signal intensity interval distribution concentration ratio to the number of sampling points according to an embodiment of the present invention. As shown in fig. 6, the concentration is reduced by the ratio of the number of sampling points as the value of the number of sampling points is reduced. In practical applications, the higher the concentration, the more single the wireless environment, and conversely, the more complex the wireless environment.
In step 103, a subset of sample points is selected from the plurality of sample points based on the first variance, and a second variance of the reference signal received power corresponding to each sample point in the subset of sample points is determined.
In one embodiment, the reference signal received power may be one of a maximum reference signal received power, a minimum reference signal received power, a median reference signal received power, an average reference signal received power of the respective reference signal received power interval. For example, the reference signal received power for the mr.rsrp.10 interval may be-60 dBm, -65dBm, or-62.5 dBm.
In one embodiment, the reference signal received power { Rsrp) for each sample point number in the first N sample point number subset (e.g., M sample point numbers) is calculated according to the following equation 2Top1，RsrpTop2，...，RsrpTopMA second variance of (where M is a positive integer equal to or greater than 2 and equal to or less than N).
Wherein, the concentration Rate is obtained according to the calculationconcentricityTo determine the value of M in equation 2. FIG. 7 illustrates signal strength intervals according to an embodiment of the present inventionDistribution concentration, second variance, and number of sample points M of the subset of sample points. It can be seen from the figure that the smaller the concentration, the larger the value of M can be. For example, in the case of N ═ 4, when the concentratability is 1% or less, M ═ 4; when the concentration is greater than 1% and 10% or less, M is 3; when the concentration is greater than 10%, M is 2. The higher the concentration, the more single the wireless environment, and the smaller the value of M. The lower the concentration, the more complex the wireless environment, and the larger the value of M. The magnitude of the second variance may represent the degree of attenuation of the signal, with a greater second variance value providing a greater degree of attenuation, and conversely a lesser degree of attenuation. .
In step 104, the second variance is compared to a threshold to determine whether the base station antenna is blocked. In one embodiment, when the second variance is greater than or equal to a threshold (e.g., 3.5), it is determined that there is a rapid fade in the signal, i.e., the base station antenna is blocked. According to the method for identifying the blocking condition of the base station antenna, the blocking condition of the base station antenna can be automatically identified by determining the distribution concentration of the signal intensity interval and the variance of the reference signal receiving power by using the LTE-MR large sample data.
Fig. 8 is a flowchart illustrating a method of identifying a blocking condition of a base station antenna according to an embodiment of the present invention. As shown in FIG. 8, steps 101-104 are the same as the steps of the method shown in FIG. 1, and are not repeated herein.
When it is determined in step 104 that the base station antenna is blocked, the method may proceed to step 805. In step 805, it is checked whether the base station antenna is blocked based on a comparison of the plurality of averaged reference signal received powers with respective power check thresholds.
In one embodiment, a plurality of average reference signal received powers of the user terminal within a plurality of different distance ranges from the base station antenna in the near point region may be received, and whether the base station antenna is blocked may be checked based on a comparison of the plurality of average reference signal received powers with respective power check thresholds. When the user terminal reports the location information, the average reference signal within different distance ranges (e.g., within 50 meters, within 100 meters, within 200 meters, within 300 meters, etc.) from the base station antenna can be calculatedReceive power (e.g., Rsrp)distance50m、Rsrpdistance100m、Rsrpdistance200m、Rsrpdistance300mEtc.). The average reference signal received power represents the average of the user signals over a certain distance from the base station antenna. The blocking condition of the base station antenna can be checked according to the average reference signal received power and the power check threshold value. For example, in one embodiment, when Rsrpdistance50mLess than or equal to-90 dBm and Rsrpdistance100mLess than or equal to-105 dBm, it can be confirmed that the base station antenna is blocked.
When it is confirmed in step 805 that the base station antenna is blocked, the method may proceed to step 806. In step 806, it is determined whether the base station antenna is severely blocked. In one embodiment, a determination may be made whether a base station antenna is severely blocked based on a comparison of a plurality of average reference signal received powers to respective first blocking severity thresholds, wherein the first blocking severity thresholds are less than the respective power check thresholds. For example, in one embodiment, when Rsrpdistance50mLess than or equal to-100 dBm and Rsrpdistance100mLess than or equal to-115 dBm, it may be determined that the base station antenna is severely blocked.
In one embodiment, a determination of whether a base station antenna is severely blocked may be based on a comparison of reference signal received power corresponding to a number of sample points, respectively, to corresponding blocking severity thresholds. For example, in one embodiment, the base station antenna may be determined to be severely blocked when all reference signal received powers are less than a second blocking severity threshold (e.g., -115 dBm).
In one embodiment, the number of sampling points of a reference signal received power interval of which the near point region is smaller than the weak coverage power threshold and the total number of sampling points of the reference signal received power interval smaller than the weak coverage power threshold for a base station cell can be acquired from the LTE-MR data; determining a second ratio of the number of sampling points of a reference signal received power interval of which the near point region is smaller than the weak coverage power threshold to the total number of sampling points of the reference signal received power interval of which the near point region is smaller than the weak coverage power threshold; and determining whether the base station antenna is severely blocked based on a comparison of the second ratio to a third blocking severity threshold. For example, from the mr.tadvrp sample point number data, a second ratio of the number of sample points for which mr.tadvrp (i.e., near point region) is less than the weak coverage power threshold (e.g., -115dBm) and the total number of sample points for which all mr.tadvxx of the base station cell are less than the weak coverage power threshold (e.g., -115dBm) is obtained, and when the second ratio is greater than a third blockage severity threshold (e.g., 60%), it may be determined that the base station antenna is severely blocked. The higher the second ratio, the more severe the blockage, and vice versa the more slight the blockage.
In step 807, the type of obstacle is determined from a comparison of the difference between the reference signal received power corresponding to the largest and second largest of the plurality of sample points with an object-attenuation loss table. Fig. 9 shows an object-attenuation loss table. As shown in fig. 9, the building materials have respective attenuation losses. For example, when the difference between the reference signal received powers corresponding to the maximum number of sampling points and the second largest number of sampling points is 13-18 dB, the obstacle is determined to be a concrete wall.
In step 808, the type of blocking of the base station antenna is determined. In one example, a total number of sampling points for all reference signal received power intervals for a near point region may be obtained from LTE-MR data, and a third ratio of the number of sampling points for reference signal received power intervals for which the near point region is less than a weak coverage power threshold to the total number of sampling points for all reference signal received power intervals for the near point region may be determined; and determining the blocking type according to the signal intensity interval distribution concentration of the near point region indicated by the first square difference, the second ratio and the third ratio. Fig. 10 shows the concentration, second ratio, third ratio and barrier type relationships. For example, a high concentration, a high second ratio, and a high third ratio would mean that the barrier type is a near-end barrier.
According to the method for identifying the blocking condition of the base station antenna, whether the base station antenna is blocked or not can be identified by using the LTE-MR large sample data, the identification result can be verified, the blocking serious condition, the blocking object and the blocking type can be identified, and therefore the blocking condition of the base station antenna can be identified more comprehensively and accurately. A system for identifying a blocking condition of a base station antenna according to the present invention is described below. The system may be used to perform the method according to the invention as described above. Details not disclosed for embodiments of the system are consistent with embodiments of the method of the present invention.
Fig. 11 is a block diagram illustrating a system 1100 for identifying a blockage condition of a base station antenna in accordance with an embodiment of the present invention. As shown in fig. 11, the system for identifying the blocking condition of the base station antenna may include a data acquisition unit 1101, a first variance determination unit 1102, a second variance determination unit 1103, and an identification unit 1104.
The data acquisition unit 1101 is configured to acquire a plurality of sampling points of different reference signal reception power intervals in a near point region of the base station antenna from the LTE-MR data measured for the base station cell. The first variance determining unit 1102 is configured to determine a ratio of each sampling point number to a sum of the plurality of sampling point numbers from the plurality of sampling point numbers, and determine a first variance of the ratio of the plurality of sampling point numbers. The second variance determining unit 1103 is configured to select a sampling point number subset from the plurality of sampling point numbers according to the first variance, and determine a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset. The identifying unit 1104 is configured to compare the second variance with a threshold to determine whether the base station antenna is blocked.
Fig. 12 is a block diagram illustrating a system 1200 for identifying a blocking condition of a base station antenna in accordance with an embodiment of the present invention. As shown in fig. 12, the system 1200 for identifying blocking of a base station antenna may include a data acquisition unit 1101, a first variance determination unit 1102, a second variance determination unit 1103, and an identification unit 1104, which are consistent with those described above with reference to fig. 11 and will not be described herein again.
Further, the system 1200 may further include a checking unit 1205, a second ratio determining unit 1206, and a third ratio determining unit 1207. In one embodiment, the data acquisition unit 1101 is further configured to receive a plurality of average reference signal received powers of the user terminal within different distance ranges from the base station antenna in the near point region. The checking unit 1205 is configured to check whether the base station antenna is blocked based on a comparison of the plurality of averaged reference signal received powers with respective power check thresholds. The checking unit 1205 is further configured to determine that the base station antenna is indeed blocked if all of the plurality of averaged reference signal received powers are less than or equal to the respective power check threshold.
In one embodiment, the identifying unit 1104 is further configured to determine whether the base station antenna is severely blocked based on a comparison of the plurality of average reference signal received powers with respective first blocking severity thresholds, wherein the first blocking severity thresholds are less than the power check threshold.
In one embodiment, the identifying unit 1104 is further configured to determine whether the base station antenna is severely blocked based on a comparison of the reference signal received power corresponding to the plurality of sampling points with the respective second blocking severity thresholds.
In one embodiment, the data acquisition unit 1101 is further configured to acquire, from the LTE-MR data, a number of sampling points of a reference signal received power interval of which near point region is smaller than the weak coverage power threshold and a total number of sampling points of the reference signal received power interval smaller than the weak coverage power threshold for the base station cell. The second ratio determination unit 1206 is configured to determine a second ratio of the number of sampling points of the reference signal received power interval of which the near point area is smaller than the weak coverage power threshold to the number of total sampling points of the reference signal received power interval for the base station cell smaller than the weak coverage power threshold. The identifying unit 1104 is further configured to determine whether the base station antenna is severely blocked according to a comparison of the second ratio to a third blocking severity threshold.
In one embodiment, the identifying unit 1104 is further configured to determine the type of the obstacle according to a comparison of a difference between a reference signal received power corresponding to a maximum number of sampling points and a next largest number of sampling points of the plurality of sampling points with an object-attenuation loss table.
In one embodiment, the data acquisition unit 1101 is further configured to acquire a total number of sampling points of all reference signal received power intervals of the near point region from the LTE-MR data. The third ratio determination unit 1207 is configured to determine a third ratio of the number of sampling points of the reference signal received power interval whose near point region is smaller than the weak coverage power threshold to the total number of sampling points of all the reference signal received power intervals of the near point region. The identifying unit 1104 is further configured to determine the blocking type according to the level of the signal intensity interval distribution concentration of the near point region indicated by the first variance, the second ratio, and the third ratio.
It should be understood that, when the system for identifying the blocking condition of the base station antenna provided in the foregoing embodiment implements the method for identifying the blocking condition of the base station antenna, only the above-mentioned division of each functional unit is illustrated, and in practical applications, the above-mentioned function distribution may be completed by different functional units according to actual needs, that is, the content structure of the system may be divided into different functional units to complete all or part of the above-mentioned functions. In addition, with regard to the system in the above-described embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Fig. 13 is a block diagram illustrating an exemplary hardware architecture of a computing device capable of implementing the method and system for identifying blocking of a base station antenna in accordance with embodiments of the present invention. As shown in fig. 13, computing device 1300 includes an input device 1301, an input interface 1302, a central processor 1303, a memory 1304, an output interface 1305, and an output device 1306. The input interface 1302, the central processor 1303, the memory 1304, and the output interface 1305 are connected to each other through a bus 1310, and the input device 1301 and the output device 1306 are connected to the bus 1310 through the input interface 1302 and the output interface 1305, respectively, and further connected to other components of the computing device 1300. Specifically, the input device 1301 receives input information from the outside, and transmits the input information to the central processor 1303 through the input interface 1302; the central processor 1303 processes input information based on computer-executable instructions stored in the memory 1304 to generate output information, stores the output information in the memory 1304 temporarily or permanently, and then transmits the output information to the output device 1306 through the output interface 1305; output device 1306 outputs output information to the exterior of computing device 1300 for use by a user.
The system 1100 for identifying a blockage situation of a base station antenna shown in fig. 11 can also be implemented to include: a memory storing computer-executable instructions; and a processor which, when executing the computer executable instructions, may implement the method of identifying a blocking condition of a base station antenna described in connection with fig. 1.
In addition, the above-mentioned mobile device used by the user may be a mobile terminal such as a laptop, a tablet, a feature phone, a smart phone, a Personal Digital Assistant (PDA), a wearable device, and the like.
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.
The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. For example, the algorithms described in the specific embodiments may be modified without departing from the basic spirit of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Claims (23)
1. A method for identifying a blockage condition of a base station antenna, the method comprising:
acquiring a plurality of sampling points of different reference signal receiving power intervals in a near point region of a base station antenna from LTE-MR data measured aiming at a base station cell;
determining a ratio of each number of sample points to a sum of the number of sample points from the number of sample points, and determining a first variance of the ratio of the number of sample points;
selecting a sampling point number subset from the plurality of sampling points according to the first variance, and determining a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and
comparing the second variance to a threshold to determine whether the base station antenna is blocked.
2. The method of claim 1, wherein the reference signal received power is one of a maximum reference signal received power, a minimum reference signal received power, a median reference signal received power, an average reference signal received power for a respective reference signal received power interval.
3. The method of claim 1, wherein the method further comprises:
and sequencing the obtained plurality of sampling points in a descending order and obtaining the first N sampling points, wherein N is an integer greater than or equal to 2.
4. The method of claim 1, wherein the base station antenna is determined to be blocked when the second variance is greater than or equal to the threshold.
5. The method of claim 1, wherein the method further comprises:
receiving a plurality of average reference signal received powers of a user terminal in a plurality of different distance ranges from the base station antenna in the near point region; and
verifying whether the base station antenna is blocked based on a comparison of the plurality of average reference signal received powers respectively to respective power verification thresholds.
6. The method of claim 5, wherein the method further comprises:
determining that the base station antenna is indeed blocked if all of the plurality of average reference signal received powers are less than or equal to respective power check thresholds.
7. The method of claim 6, further comprising determining whether the base station antenna is severely blocked based on a comparison of the plurality of average reference signal received powers to respective first blocking severity thresholds, wherein the first blocking severity threshold is less than the respective power check threshold for each average reference signal received power.
8. The method of claim 4 or 5, further comprising determining whether the base station antenna is severely blocked based on a comparison of the reference signal received power corresponding to the plurality of sampling points to respective second blocking severity thresholds.
9. The method of claim 4 or 5, further comprising:
acquiring the number of sampling points of a reference signal receiving power interval of which the near point area is smaller than a weak coverage power threshold value and the total number of sampling points of the reference signal receiving power interval which is smaller than the weak coverage power threshold value and aims at the base station cell from the LTE-MR data;
determining a second ratio of a number of samples of a reference signal received power interval for which the near point region is less than the weak coverage power threshold to a total number of samples of a reference signal received power interval for the base station cell that is less than the weak coverage power threshold; and
determining whether the base station antenna is severely blocked based on a comparison of the second ratio to a third blocking severity threshold.
10. The method of claim 1, wherein the method further comprises:
and determining the type of the obstacle according to the comparison of the difference value between the reference signal receiving power corresponding to the maximum sampling point number and the second maximum sampling point number in the plurality of sampling point numbers and a preset object-attenuation loss table.
11. The method of claim 4 or 5, wherein the method further comprises:
obtaining, from the LTE-MR data, a number of samples of a reference signal received power interval for which the near point region is smaller than a weak coverage power threshold and a total number of samples of a reference signal received power interval for which the near point region is smaller than the weak coverage power threshold, and determining a second ratio of the number of samples of the reference signal received power interval for which the near point region is smaller than the weak coverage power threshold to the total number of samples of the reference signal received power interval for which the near point region is smaller than the weak coverage power threshold;
acquiring the total sampling point number of all reference signal receiving power intervals of the near point region from the LTE-MR data, and determining a third ratio of the sampling point number of the reference signal receiving power interval of which the near point region is smaller than the weak coverage power threshold value to the total sampling point number of all reference signal receiving power intervals of the near point region;
determining a blocking type according to the signal intensity interval distribution concentration of the near point region indicated by the first variance, the second ratio and the third ratio.
12. A system for identifying blockage in a base station antenna, the system comprising:
a data acquisition unit configured to acquire a plurality of sampling points of different reference signal reception power intervals in a near point region of the base station antenna from LTE-MR data measured for a base station cell;
a first variance determining unit configured to determine a ratio of each sampling point number to a sum of the plurality of sampling point numbers according to the plurality of sampling point numbers, and determine a first variance of the ratio of the plurality of sampling point numbers;
a second variance determining unit configured to select a sampling point number subset from the plurality of sampling point numbers according to the first variance, and determine a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and
an identifying unit configured to compare the second variance to a threshold to determine whether the base station antenna is blocked.
13. The system of claim 12, wherein the reference signal received power is one of a maximum reference signal received power, a minimum reference signal received power, a median reference signal received power, an average reference signal received power for a respective reference signal received power interval.
14. The system of claim 12, wherein the data acquisition unit is further configured to sort the acquired plurality of sample points in descending order and acquire a top N number of sample points, where N is an integer greater than or equal to 2.
15. The system of claim 12, wherein the identification unit is further configured to determine that the base station antenna is blocked when the second variance is greater than or equal to the threshold.
16. The system of claim 12, wherein the data acquisition unit is further configured to receive a plurality of average reference signal received powers for a user terminal over a plurality of different distance ranges from the base station antenna in the near point region; and
the system also includes a checking unit configured to check whether the base station antenna is blocked based on a comparison of the plurality of averaged reference signal received powers respectively with respective power check thresholds.
17. The system of claim 16, wherein the check unit is further configured to determine that the base station antenna is indeed blocked if all of the plurality of average reference signal received powers are less than or equal to respective power check thresholds.
18. The system of claim 17, wherein the identification unit is further configured to determine whether the base station antenna is severely blocked based on a comparison of the plurality of average reference signal received powers to respective first blocking severity thresholds, wherein the first blocking severity threshold is less than the respective power check threshold for each average reference signal received power.
19. The system of claim 15 or 16, wherein the identification unit is further configured to determine whether the base station antenna is severely blocked based on a comparison of the reference signal received power corresponding to the plurality of sample points to respective second blocking severity thresholds.
20. The system of claim 15 or 16, wherein the data acquisition unit is further configured to acquire from the LTE-MR data a number of samples for a reference signal received power interval for which the near-point region is less than a weak coverage power threshold and a total number of samples for a reference signal received power interval for the base station cell that is less than the weak coverage power threshold;
the system further comprises a second ratio determination unit configured to determine a second ratio of the number of sampling points of a reference signal received power interval of the near point region being smaller than a weak coverage power threshold to the number of total sampling points of the reference signal received power interval for the base station cell being smaller than the weak coverage power threshold; and
the identification unit is further configured to determine whether the base station antenna is severely blocked based on a comparison of the second ratio to a third blocking severity threshold.
21. The system of claim 12, wherein the identification unit is further configured to determine the type of obstruction based on a comparison of a difference between a maximum number of the plurality of sampling points and a reference signal received power corresponding to a next largest number of sampling points to a predetermined object-attenuation loss table.
22. The system of claim 15 or 16, wherein the data acquisition unit is further configured to acquire from the LTE-MR data a number of samples for a reference signal received power interval for which the near-point region is less than a weak coverage power threshold and a total number of samples for a reference signal received power interval for the base station cell that is less than the power threshold;
the system further comprises a second ratio determination unit configured to determine a second ratio of the number of sampling points of a reference signal received power interval of the near point region being smaller than a weak coverage power threshold to the number of total sampling points of the reference signal received power interval for the base station cell being smaller than the weak coverage power threshold;
the data acquisition unit is further configured to acquire the total number of sampling points of all reference signal received power intervals of the near point region from the LTE-MR data;
the system further comprises a third ratio determination unit configured to determine a third ratio of the number of samples of a reference signal received power interval for which the near point region is less than a weak coverage power threshold to the total number of samples of all reference signal received power intervals of the near point region;
the identification unit is further configured to determine a blocking type according to the signal intensity interval distribution concentration of the near point region indicated by the first variance, the second ratio, and the third ratio.
23. A system for identifying blockage in a base station antenna, the system comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to:
acquiring a plurality of sampling points of different reference signal receiving power intervals in a near point region of a base station antenna from LTE-MR data measured aiming at a base station cell;
determining a ratio of each number of sample points to a sum of the number of sample points from the number of sample points, and determining a first variance of the ratio of the number of sample points;
selecting a sampling point number subset from the plurality of sampling points according to the first variance, and determining a second variance of the reference signal received power corresponding to each sampling point number in the sampling point number subset; and
comparing the second variance to a threshold to determine whether the base station antenna is blocked.
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| CN104333492A (en) * | 2014-11-26 | 2015-02-04 | 中国联合网络通信集团有限公司 | Method and device for evaluating rationality of communication network structure |
| CN104954308A (en) * | 2015-06-02 | 2015-09-30 | 国家电网公司 | Feature vector based binode covariance blind-detection method in cognitive radio |
| CN106211194A (en) * | 2016-07-28 | 2016-12-07 | 武汉虹信技术服务有限责任公司 | The outer separation method of a kind of MR data room based on statistical model |
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| US8031789B2 (en) * | 2007-04-06 | 2011-10-04 | Olympus Corporation | Methods and systems for diversity combining of synchronization statistics in OFDM systems |
| US8706133B2 (en) * | 2008-06-30 | 2014-04-22 | Motorola Solutions, Inc. | Threshold selection for broadcast signal detection |
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| CN104333492A (en) * | 2014-11-26 | 2015-02-04 | 中国联合网络通信集团有限公司 | Method and device for evaluating rationality of communication network structure |
| CN104954308A (en) * | 2015-06-02 | 2015-09-30 | 国家电网公司 | Feature vector based binode covariance blind-detection method in cognitive radio |
| CN106211194A (en) * | 2016-07-28 | 2016-12-07 | 武汉虹信技术服务有限责任公司 | The outer separation method of a kind of MR data room based on statistical model |
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