CN107734525B - LTE system RS balance determination method and device based on frequency sweep - Google Patents

LTE system RS balance determination method and device based on frequency sweep Download PDF

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CN107734525B
CN107734525B CN201610654653.0A CN201610654653A CN107734525B CN 107734525 B CN107734525 B CN 107734525B CN 201610654653 A CN201610654653 A CN 201610654653A CN 107734525 B CN107734525 B CN 107734525B
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CN107734525A (en
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杨文俊
胡志东
吴宝庭
黄海晖
唐焯宜
陆南昌
陆庆杭
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China Mobile Communications Group Co Ltd
China Mobile Group Guangdong Co Ltd
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Abstract

The invention discloses a method and a device for determining RS balance of an LTE (Long term evolution) system based on frequency sweep, wherein the method comprises the following steps: determining path transmission loss of each terminal; respectively correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal; determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value; judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not; if the absolute value of the difference value between the first result value and the second result value meets a first preset condition, judging whether the ratio of the transmission block TBs of the rank2 meets a second preset condition; and if the rank2TB number ratio meets a second preset condition, determining that the reference signal imbalance fault exists in the base station antenna.

Description

LTE system RS balance determination method and device based on frequency sweep
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for determining a Reference Signal (RS) balance of a Long Term Evolution (LTE) system based on frequency sweeping.
Background
With the gradual expansion of wireless networks, the performance problem of wireless devices gradually emerges, and especially with the increasing density of urban base station construction in recent two years, the antenna performance problem also starts to draw more and more attention of operators. Especially, the antenna gain is seriously reduced due to gradual aging of the antenna in the wireless equipment and substandard oscillator or feed line process of the acquisition antenna, thereby greatly influencing the network coverage depth and customer perception.
Aiming at the problem, the following methods are generally adopted for checking and optimizing at present:
the first method adopts a drive test mode to reversely calculate the antenna transmission gain of a cell. Fig. 1 is a schematic diagram of a communication model for calculating the transmission gain of a cell antenna in the prior art, as shown in fig. 1: 1) assuming the reference values: the output power at the top of the rack is X, and the BSPWRB/BSPWRT (Base Station output power of Broadcast Control Channel/Base Station output power of Traffic Channel) in the cell configuration parameters is a fixed cell maximum value; the antenna feeder loss takes the following reference values: 900M: 7/8 the feed line is about 5dB/100 m; 5/4 the feed line is about 3dB/100 m. 1800M: 7/8 the feed line is about 6dB/100 m; the 5/4 feed line is about 4dB/100 m. 2) The signal strength of the arriving terminal is Y, and Y is an average signal strength filtering value calculated by software; adding a weight correction value Y1 for functions such as network starting power control and the like; 3) the signal loss in an ideal wireless environment is Z, and various wireless environment propagation models are defined as Z1, Z2, Z3 and the like. Based on the above steps, then the signal strength Y can be determined according to equation (0-1):
the signal intensity Y is equal to the output power X-antenna feeder loss + antenna gain G-signal loss Z (0-1);
the antenna gain is inferred based on the signal strength Y, see equation (0-2):
antenna gain G is equal to signal intensity Y-output power X + antenna feeder loss + signal loss Z (0-2);
then, whether the antenna gain is normal is judged according to the antenna gain G. In the method, because the spatial propagation of the signals is greatly influenced by the environment of the propagation wireless link, the wireless environment is very complex in the building dense area of an urban area, the error of the antenna gain G calculated by the formula is large, and the accuracy is low due to the influence of uplink and downlink power control.
The second method is carried out in a fixed-point frequency sweeping mode. Using a test system, combining a call + frequency sweep mode, wherein an MS1(Mobile Station 1) adopts a call and frequency lock call mode to find a hidden fault of a carrier; the MS2(Mobile Station 2) adopts a frequency sweep mode, and aims to restore the field intensity map of the target by sweeping the BCCHNO (Broadcast Control Channel Number) of all cells of the target base Station. Fig. 2 is a diagram illustrating the test results of calculating the antenna gain using the second prior art. According to fig. 2, whether the indexes such as gain are normal or not is calculated by comparing (relative relationship) the signal strength relationship between antennas at the same point and different directions. The method is visual and simple, and has high accuracy because the method is close to the base station end and adopts relative field intensity to judge. However, since the method is only suitable for single-station testing, if regional coverage analysis or full-network coverage analysis is required, the labor cost and the time cost of the method are very large, and the timeliness is poor.
In the third method, the antenna of the existing network is disassembled and then sent to a laboratory for analysis through a third party authority. The method has accurate test data, but has large input cost and long period, and has the biggest problem that the stability of the existing network is possibly influenced by the disassembly of the antenna.
Through the above analysis, the existing method for testing and analyzing the problem antenna of the existing network has certain limitations: the first method has great influence on the tested environment for the conventional drive test means, and the accuracy needs to be improved; the second method has high labor cost and time cost and low efficiency for single-station frequency sweeping. The third method is tested by a third party mechanism, and has great influence on the operation of the existing network and high cost.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for determining RS balance of an LTE system based on frequency sweep to solve at least one problem in the prior art, which can simply, efficiently, and intuitively determine whether an antenna has a hidden fault, so as to effectively locate problems of low LTE double-current ratio, low LTE download rate, and the like caused by the hidden fault of the antenna.
The technical scheme of the embodiment of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for determining an RS balance of an LTE system based on frequency sweeping, where the method includes:
determining path transmission loss of each terminal;
respectively correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal;
determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value;
judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not;
if the absolute value of the difference between the first result value and the second result value meets a first preset condition, judging whether the ratio of the rank2TB (Transport Block) ratio meets a second preset condition;
and if the rank2TB number proportion meets a second preset condition, determining that the reference signal imbalance fault exists in the base station antenna.
In a second aspect, an embodiment of the present invention provides a device for determining an RS balance of an LTE system based on frequency sweeping, where the device includes:
a first determining module for determining a path transmission loss for each terminal in each sample set;
a correction module, configured to correct reference signal received power RSRP0 and RSRP1 received by each terminal according to a path transmission loss of each terminal;
a second determining module, configured to determine an average value of the corrected RSRPs 0 of all terminals as a first result value, and determine an average value of the corrected RSRPs 1 of all terminals as a second result value;
the first judgment module is used for judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not;
a second judging module, configured to, if an absolute value of a difference between the first result value and the second result value satisfies a first preset condition, judge whether a TB ratio of the rank2 transmission block satisfies a second preset condition;
and a third determining module, configured to determine that a reference signal imbalance fault exists in the base station antenna if the rank2TB number ratio meets a second preset condition.
In the embodiment of the invention, the path transmission loss of each terminal is determined; respectively correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal; determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value; judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not; if the absolute value of the difference value between the first result value and the second result value meets a first preset condition, judging whether the ratio of the transmission block TBs of the rank2 meets a second preset condition; if the rank2TB number proportion meets a second preset condition, determining that the base station antenna has a reference signal imbalance fault; therefore, whether the antenna has a hidden fault can be judged simply, easily, efficiently and visually, and the problems that the LTE double-current proportion is low and the LTE downloading rate is low due to the hidden fault of the antenna are effectively solved.
Drawings
FIG. 1 is a schematic diagram of a prior art communication model for calculating the transmission gain of a cell antenna;
FIG. 2 is a diagram illustrating the results of a prior art two test to calculate antenna gain;
fig. 3 is a schematic flow chart illustrating an implementation of a method for determining RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating an implementation of a method for determining RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention;
FIG. 5-1 is a frequency-sweeping radiation diagram of three RS signals according to an embodiment of the present invention;
FIG. 5-2 is a difference frequency-sweeping radiation diagram of three RS signals according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a fourth device for determining RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention.
Detailed Description
In order to solve the problems in the background art, the following embodiments of the present invention provide a method for determining RS balance of an LTE system based on frequency sweep, so as to perform double-current analysis through frequency sweep data for screening LTE network antenna failure conditions, thereby quickly screening and locating the problem of double-current imbalance. The sweep frequency data comprises RS0 and RS1 which are mainly used for representing the signal parameter receiving condition of the double antennas, and the problem correlation analysis and the problem positioning are realized through differential comparison. Through fitting analysis of the RS0 and RS1 sweep frequency data reference signals, whether the antenna has a hidden fault or not is judged, so that the problems of low LTE double-current proportion, low LTE downloading rate and the like caused by the hidden fault of the antenna are effectively solved, and a new analysis means is provided for the existing network (existing network) LTE optimization. From the above, the technical scheme provided by the embodiment of the invention has the characteristics of simplicity, feasibility, high efficiency, intuition and the like.
The technical solution of the present invention is further elaborated below with reference to the drawings and the specific embodiments.
Example one
The embodiment of the invention provides a method for determining the RS balance of an LTE system based on frequency sweep, which is applied to a device for determining the RS balance of the LTE system based on the frequency sweep. Fig. 3 is a schematic flow chart of an implementation of a method for determining an RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention, where as shown in fig. 3, the method includes:
step S301, determining the path transmission loss of each terminal;
specifically, the step S302 further includes: determining the height Dhb of the base station antenna, wherein the height of the base station antenna can be determined by inquiring an engineering parameter table (work parameter table); determining a distance R (N) between the base station antenna and an nth terminal, wherein N is a natural number from 1 to N, N is the total number of terminals in all sampling sets, the longitude and the latitude of the base station antenna are determined by inquiring a work parameter table, the longitude and the latitude of the terminal can be inquired by opening a GPS (global positioning system) by the terminal, and the distance between the base station antenna and the terminal is determined by the longitude and the latitude of the base station antenna and the longitude and the latitude of the terminal; determining a path transmission loss of the nth terminal according to equation (1-1),
L(n)＝40×(1-4×10-3×Dhb)×lg(R(n))-18×lg(Dhb)+21×lg(f)+80 (1-1)；
in the formula (1-1), l (n) is the nth terminal path transmission loss, Dhb is the base station antenna height, r (n) is the distance between the nth terminal and the base station antenna, and f is the cell center frequency.
Step S302, respectively correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal;
here, specifically, the step S303 further includes: determining the RSRP0 and RSRP1 received by each terminal, where the reference signal received power RSRP0 and RSRP1 received by each terminal may be queried from the test result data output by the background, or may enter into an engineering mode query of the terminal; correcting reference signal received power (RSRP 0) and reference signal received power (RSRP 1) of each terminal according to the path transmission loss of each terminal and formulas (1-2) and (1-3) respectively;
RSRP0correction of(n)＝RSRP0(n)+L(n) (1-2)；
RSRP1Correction of(n)＝RSRP1(n)+L(n) (1-3)；
Wherein, in the formula (1-2), RSRP0Correction of(n) is the corrected RSRP0 of the nth terminal, RSRP0(n) is the RSRP0 received by the nth terminal, RSRP1 in formula (1-3)Correction ofThe reference signal RSRP1 is corrected by the nth terminal, and RSRP1(n) is the RSRP1 received by the nth terminal.
Step S303, determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value;
specifically, the step S304 further includes:
determining more than one sampling set, wherein each sampling set comprises more than one terminal; specifically, a first projection line of a main radiation direction of the base station antenna on a horizontal plane is determined; determining the angle of an included angle between a second projection line and the first projection line of a straight line between each terminal and the base station antenna on the horizontal plane; the terminals of the same angle are determined as one sampling set. The first projection line may be angled from 0 degrees to 359 degrees (0 ° to 359 °) from the second projection line, so that there are 360 sampling sets.
Determining the arithmetic mean value of the corrected RSRP0 of all terminals of each sampling set according to the formula (1-4) to obtain a third result value;
Figure BDA0001075070630000061
wherein, in the formula (1-4), RSRP0iIs the third result value, NiIs the total number of terminals in the ith sample set, RSRP0Correction of(m) corrected RSRP0 for the mth terminal in the ith sample set;
obtaining a fourth result value according to the formula (1-5);
Figure BDA0001075070630000062
wherein P0(i) is the fourth result value, RSRP0, in equations (1-5)iIs the third result value;
determining the average value of the corrected RSRP0 of all terminals as a first result value according to the formula (1-6);
Figure BDA0001075070630000071
wherein, in the formula (1-6), RSRP0avgIs as followsA result value;
determining the arithmetic mean value of the corrected RSRP1 of all the terminals of each sampling set according to the formula (1-7) to obtain a fifth result value;
Figure BDA0001075070630000072
wherein, in the formula (1-7), RSRP1iIs a fifth result value, NiIs the total number of terminals in the ith sample set, RSRP1Correction of(m) corrected RSRP1 for the mth terminal in the ith sample set;
obtaining a sixth result value according to the formula (1-8);
Figure BDA0001075070630000073
wherein P1(i) is the sixth result value, RSRP1, in equations (1-8)iIs a fifth result value;
the average of the corrected RSRP1 of all terminals is determined as the second result value according to equation (1-9),
Figure BDA0001075070630000074
wherein, in the formula (1-9), RSRP1avgIs the second result value.
Step S304, judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition;
here, the first preset condition may be not less than 5 dB.
Step S305, if the absolute value of the difference between the first result value and the second result value meets a first preset condition, judging whether the rank2TB number proportion meets a second preset condition;
here, the second preset condition may be not more than 30%. The rank2TB number ratio can also be determined from the test results output by the background.
Step S306, if the rank2TB number ratio meets a second preset condition, determining that the base station antenna has a reference signal imbalance fault.
In the embodiment of the invention, the path transmission loss of each terminal is determined; respectively correcting reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal; determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value; judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not; if the absolute value of the difference value between the first result value and the second result value meets the first preset condition, judging whether the rank2TB number proportion meets the second preset condition; if the rank2TB number proportion meets a second preset condition, determining that the base station antenna has a reference signal imbalance fault; therefore, whether the antenna has a hidden fault can be judged simply, easily, efficiently and visually, and the problems that the LTE double-current proportion is low and the LTE downloading rate is low due to the hidden fault of the antenna are effectively solved.
Example two
Based on the foregoing embodiments, the embodiments of the present invention provide a method for determining RS balance of an LTE system based on frequency sweep, which is applied to a device for determining RS balance of an LTE system based on frequency sweep. Fig. 4 is a schematic flow chart of an implementation of a method for determining an RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention, where as shown in fig. 4, the method includes:
step S401, carrying out normalization processing on the third result value according to a formula (2-1) to obtain a seventh result value;
Figure BDA0001075070630000081
here, the first and second liquid crystal display panels are,
Figure BDA0001075070630000082
as a seventh result value, RSRP0iCorrected for all terminals of each sample set obtained in step S304The arithmetic mean of the RSRP0, i.e. the third result, RSRP0avgThe first preset value and the second preset value may be set according to actual conditions for the first result value obtained in step S304.
Step S402, carrying out normalization processing on the fifth result value according to a formula (2-2) to obtain an eighth result value;
Figure BDA0001075070630000091
here, the first and second liquid crystal display panels are,
Figure BDA0001075070630000094
as an eighth result value, RSRP1iThe arithmetic mean of the corrected RSRP1 for all terminals of each sample set obtained in step S304, i.e. the fifth result value, RSRP1avgIs the second result value obtained in step S304.
Step S403, smoothing the seventh result value according to a formula (2-3) to obtain a ninth result value;
Figure BDA0001075070630000092
here, in the formula (2-3)
Figure BDA0001075070630000095
Is the ninth resultant value.
Step S404, smoothing the eighth result value according to a formula (2-4) to obtain a tenth result value;
Figure BDA0001075070630000093
here, in the formula (2-4)
Figure BDA0001075070630000096
Is the tenth result value.
Step S405, generating a first image according to the ninth result value and the tenth result value;
step S406, outputting the first image.
Step S407, subtracting the ninth result value and the tenth result value to determine an eleventh result value;
step S408, generating a second image according to the eleventh result value;
step S409, outputting the second image.
In the embodiment of the invention, the output first image and the output second image are antenna radiation diagrams, whether the antenna has a reference signal imbalance fault can be judged very intuitively according to the first image and the second image, and the problems of low LTE double-current ratio, low LTE download rate and the like caused by the antenna reference signal imbalance fault can be effectively positioned.
EXAMPLE III
For better understanding of the present embodiment, the related terms are introduced, and the Reference Signal (RS) itself does not carry data, and functions like, but not exactly like, the pilot. The downlink reference signal is mainly used for coherent detection. That is, the receiver must perform channel estimation on the wireless channel. And who is the object of channel estimation? These are the reference signals. The uplink reference signal is of course also used for coherent demodulation. In addition, the DMRS (Demodulation Reference Signal) in the uplink is also used for time offset estimation and frequency offset estimation. The uplink SRS (Sounding Reference Signal) is also used for channel quality detection, power control, and the like. Each port in the LTE system transmits RS, so as to facilitate detection and implementation of MIMO (Multiple Input Multiple Output).
L＝40×(1-4×10-3×Dhb)×log10(R)-18×log10(Dhb)+21×log10(f) +80 formula (3-1);
in the above formula (3-1), L is path transmission loss, Dhb is the antenna height of the base station, R is the distance from the base station to the terminal, and f is the cell center frequency; and calculating the path transmission loss between the terminal and the base station under different distances by the formula (3-1).
The algorithm flow mainly comprises the following steps:
step S501, calculating the path transmission loss according to the formula (3-1);
L＝40×(1-4×10-3×Dhb)×log10(R)-18×log10(Dhb)+21×log10(f)+80 (3-1)；
step S502, calculating the corrected mobile phone terminal receiving signal intensity according to the formula (3-2);
RSRPi (correction)＝RSRPi (receiving)+L (3-2)；
In the above formula (3-2), RSRPi (correction)Is a correction to the average of RSRP for all samples above the i-degree angle.
Step S503, absolute value conversion, converting the relative value (DB) of the received signal into an absolute value (W) according to the formula (3-3);
Figure BDA0001075070630000101
step S504, calculating the average received signal intensity of all sampling points according to the formula (3-4);
RSRPavg＝10×log10((I0+I1+...+I359)/360) (3-4)；
the average RSRP of all the sampling points (sampling points at each angle) of the base station is calculated by the formula (3-4).
Step S505, calculating RSRP (normalization);
1)RSRPi (normalization)-20 if RSRPi (correction)<＝-120
2)RSRPi (normalization)＝RSRPi (correction)-RSRPavgIf RSRPi (correction)>-120
Step S506, calculating the RSRP according to the formula (3-5)i (smoothing)；
RSRPi (smoothing)＝(RSRP(i-2)+RSRP(i-1)+RSRPi+RSRP(i+1)+RSRP(i+2))/5 (3-5)；
In step S507, a radiation pattern of the antenna is generated from the calculated RSRPi (smoothed).
It should be noted that, in the implementation process, RSRP0 and RSRP1 of the reference signals of the respective antennas need to be calculated according to the above algorithm.
The analysis algorithm mainly comprises a difference comparison method and a stability analysis method, wherein: the difference comparison method is used for calculating the difference of the RSRP and is shown in a formula (3-6), and the stability analysis method is used for calculating the stability of the RSRP and is shown in a formula (3-7);
Δ RSRP0 mean-RSRP 1 mean (3-6);
Figure BDA0001075070630000111
according to the current network data analysis, the cell antenna can be subjected to 360-degree RS difference analysis through the algorithm, and the RS difference analysis can also be performed on the sampling points in the main lobe in a repeated mode. According to the analysis of the current network data, the accuracy of the antenna fault positioning by the network data acquisition system is higher.
Judging algorithm and empirical threshold: 1) the frequency sweep sampling point is more than or equal to 300; 2) in the sweep data +/-0, 60 degrees, | RS0-RS1| difference > -5; 3) the proportion of rank2TB number (statistical data) < ═ 30%; and if the three conditions are met simultaneously, judging that the antenna has RS unbalance hidden faults.
And generating two paths of RS reference signals of the LTE according to the algorithm. The following figures: fig. 5-1 is a three-two RS signal frequency sweep radiation diagram according to an embodiment of the present invention, and fig. 5-2 is a three-two RS signal difference frequency sweep radiation diagram (main lobe RS imbalance case) according to an embodiment of the present invention.
At present, the methods for testing and analyzing the problem antenna in the prior art have certain limitations: the first method has great influence on the tested environment for the conventional drive test means, and the accuracy needs to be improved; the second method has high labor cost and time cost and low efficiency for single-station frequency sweeping. The third method is tested by a third-party organization, and has great influence on the operation of the existing network and high cost.
In the embodiment of the invention, in order to discriminate the LTE network antenna fault condition, the double-current analysis is carried out through the sweep frequency data, so that the problem of double-current imbalance is rapidly screened and positioned. The sweep frequency data comprises RS0 and RS1 which are mainly used for representing the signal parameter receiving condition of the double antennas, and the problem correlation analysis and the problem positioning are realized through differential comparison. Through fitting analysis of the RS0 and RS1 sweep frequency data reference signals, whether the antenna has a hidden fault or not is judged, so that the problems of low LTE double-current proportion, low LTE downloading rate and the like caused by the hidden fault of the antenna are effectively solved, and a new analysis means is provided for the existing network (existing network) LTE optimization. From the above, the technical scheme provided by the embodiment of the invention has the characteristics of simplicity, feasibility, high efficiency, intuition and the like.
Example four
The embodiment of the invention provides a device for determining the RS balance of an LTE system based on frequency sweep, wherein each module and a plurality of units included by each module in the device can be realized by a processor of a network management server; in the course of a particular embodiment, the processor may be a central processing unit, a microprocessor, or the like.
Fig. 6 is a schematic structural diagram of a configuration of a device for determining RS balance of an LTE system based on frequency sweeping according to an embodiment of the present invention, as shown in fig. 6, the device 60 includes: a first determining module 61, a correcting module 62, a second determining module 63, a first judging module 64, a second judging module 65 and a third determining module 66, wherein:
the first determining module 61 is configured to determine more than one sampling set;
here, each sampling set includes more than one terminal; the first determining module 61 further includes: the first determining unit is used for determining a first projection line of the main radiation direction of the base station antenna on a horizontal plane; the second determining unit is used for determining the angle of an included angle between a second projection line and the first projection line of a straight line between each terminal and the base station antenna on the horizontal plane; and the third determining unit is used for determining the terminals with the same angle as a sampling set.
The first determining module 61 is configured to determine a path transmission loss of each terminal in each sampling set;
here, the first determining module 61 further includes: a first determining unit, configured to determine a height Dhb of the base station antenna;
a second determining unit, configured to determine a distance r (N) between the base station antenna and an nth terminal, where N is a natural number from 1 to N, and N is a total number of terminals in all sampling sets;
a third determining unit for determining a path transmission loss of the nth terminal according to a formula,
L(n)＝40×(1-4×10-3×Dhb)×lg(R(n))-18×lg(Dhb)+21×lg(f)+80 (4-1)；
where, l (n) is the nth terminal path transmission loss, Dhb is the base station antenna height, r (n) is the distance between the nth terminal and the base station antenna, and f is the cell center frequency.
The correcting module 62 is configured to correct reference signal received power RSRP0 and RSRP1 received by each terminal according to a path transmission loss of each terminal;
here, the correction module 62 further includes: a fourth determining unit, configured to determine RSRP0 and RSRP1 received by each terminal;
a correcting unit for correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal and the formulas (4-2) and (4-3) respectively
RSRP0Correction of(n)＝RSRP0(n)+L(n) (4-2)；
RSRP1Correction of(n)＝RSRP1(n)+L(n) (4-3)；
Wherein, RSRP0Correction of(n) is the corrected RSRP0 of the nth terminal, RSRP0(n) is the RSRP0 and RSRP1 received by the nth terminalCorrection ofThe reference signal RSRP1 is corrected by the nth terminal, and RSRP1(n) is the RSRP1 received by the nth terminal.
The second determining module 63 is configured to determine an average value of the corrected RSRP0 of all terminals as a first result value, and determine an average value of the corrected RSRP1 of all terminals as a second result value;
here, the second determining module 63 further includes: a fifth determining unit, configured to determine more than one sampling set, where each sampling set includes more than one terminal; a sixth determining unit for determining an arithmetic mean of all the terminal corrected RSRP0 of each sample set as a third result value according to formula (4-4),
Figure BDA0001075070630000131
wherein RSRP0iIs the third result value, NiIs the total number of terminals in the ith sample set, RSRP0Correction of(m) corrected RSRP0 for the mth terminal in the ith sample set; a seventh determining unit for determining a fourth result value according to the formula (4-5),
Figure BDA0001075070630000141
wherein P0(i) is the fourth result value, RSRP0iIs the third result value; an eighth determining unit for determining an average value of the corrected RSRP0 of all terminals as a first result value according to the formula (4-6),
Figure BDA0001075070630000142
wherein, RSRP0avgIs the first result value; a ninth determining unit for determining an arithmetic mean of all the terminal corrected RSRP1 of each sample set as a fifth result value according to the formula (4-7),
Figure BDA0001075070630000143
wherein RSRP1iIs a fifth result value, NiIs the total number of terminals in the ith sample set, RSRP1Correction of(m) is the mth in the ith sample setCorrected RSRP1 for the terminal; a tenth determining unit for determining a sixth result value according to the formula (4-8),
Figure BDA0001075070630000144
wherein P1(i) is the sixth result value, RSRP1iIs a fifth result value; an eleventh determining unit for determining an average value of the corrected RSRP1 of all terminals as a second result value according to a formula,
Figure BDA0001075070630000145
wherein, RSRP0avgIs the second result value.
The first judging module 64 is configured to judge whether an absolute value of a difference between the first result value and the second result value satisfies a first preset condition;
the second determining module 65 is configured to determine whether the rank2TB number ratio meets a second preset condition if the absolute value of the difference between the first result value and the second result value meets the first preset condition;
the third determining module 66 is configured to determine that a reference signal imbalance fault exists in the base station antenna if the rank2TB number ratio satisfies a second preset condition.
Here, the device for determining the RS balance of the LTE system based on frequency sweep further includes: the first normalization module is used for carrying out normalization processing on the third result value according to a formula (4-10) to obtain a seventh result value,
Figure BDA0001075070630000151
wherein the content of the first and second substances,
Figure BDA0001075070630000156
is the seventh result value; a second normalization module, configured to normalize the fifth result value according to a formula (4-11), to obtain an eighth result value，
Figure BDA0001075070630000152
Wherein the content of the first and second substances,
Figure BDA0001075070630000157
is the eighth result value; a first smoothing module, configured to smooth the seventh result value according to a formula (4-12) to obtain a ninth result value,
Figure BDA0001075070630000153
wherein the content of the first and second substances,
Figure BDA0001075070630000154
is the ninth outcome value; the second smoothing module is used for smoothing the eighth result value according to a formula (4-13) to obtain a tenth result value;
Figure BDA0001075070630000155
a first generating module, configured to generate a first image according to the ninth result value and the tenth result value; and the first output module is used for outputting the first image. A fifth determining module for subtracting the ninth result value and the tenth result value to determine an eleventh result value; a second generating module, configured to generate a second image according to the eleventh result value; and the second output module is used for outputting the second image.
Here, it should be noted that: the above description of the embodiment of the apparatus is similar to the above description of the embodiment of the method, and has similar beneficial effects to the embodiment of the method, and therefore, the description thereof is omitted. For technical details that are not disclosed in the embodiments of the apparatus of the present invention, please refer to the description of the embodiments of the method of the present invention for understanding, and therefore, for brevity, will not be described again.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. It should be understood that, in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
It should be noted that, in this document, 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 an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: various media capable of storing program codes, such as a removable Memory device, a ROM (Read Only Memory), a magnetic disk, or an optical disk.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a magnetic or optical disk, or other various media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (10)

1. A method for determining the RS balance of a Long Term Evolution (LTE) system based on frequency sweep is characterized by comprising the following steps:
determining path transmission loss of each terminal;
respectively correcting the reference signal received power (RSRP 0 and RSRP 1) received by each terminal according to the path transmission loss of each terminal;
determining the average value of the corrected RSRP0 of all the terminals as a first result value, and determining the average value of the corrected RSRP1 of all the terminals as a second result value;
judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not; the first preset condition comprises that the absolute value of the difference value of the first result value and the second result value is not less than a first preset value;
if the absolute value of the difference value between the first result value and the second result value meets the first preset condition, judging whether the rank2TB number ratio example meets the second preset condition; the second preset condition comprises that the ratio of rank2TB is not more than a second preset value;
and if the rank2TB number ratio meets a second preset condition, determining that the reference signal imbalance fault exists in the base station antenna.
2. The method of claim 1, wherein determining the path transmission loss for each terminal comprises:
determining a height Dhb of the base station antenna;
determining a distance R (N) between the base station antenna and an nth terminal, wherein N is a natural number from 1 to N, and N is the total number of terminals in all sampling sets;
according to the formula L (n) 40 × (1-4 × 10)-3×Dhb)×lg(R(n))-18×lg(Dhb) +21 × lg (f) +80, wherein l (n) is the nth terminal path transmission loss, Dhb is the base station antenna height, r (n) is the distance between the nth terminal and the base station antenna, and f is the cell center frequency.
3. The method of claim 1, wherein said correcting the reference signal received power (RSRP 0) and RSRP 1) received by each terminal according to the path transmission loss of each terminal respectively comprises:
determining the received RSRP0 and RSRP1 of each terminal;
according to the path transmission loss of each terminal, according to the formula RSRP0Correction of(n) ═ RSRP0(n) + L (n) and RSRP1Correction of(N) ═ RSRP1(N) + l (N) to correct the reference signal received power RSRP0 and RSRP1 of each terminal itself, respectively, where N is a natural number from 1 to N, N is the total number of terminals in all sample sets, RSRP0Correction of(n) is the corrected RSRP0 of the nth terminal, RSRP0(n) is the RSRP0 and RSRP1 received by the nth terminalCorrection ofThe reference symbol (n) is the corrected RSRP1 of the nth terminal, the RSRP1(n) is the RSRP1 received by the nth terminal, and l (n) is the path transmission loss of the nth terminal.
4. The method of claim 1, wherein determining the average of the corrected RSRP0 for all terminals as the first result value and the average of the corrected RSRP1 for all terminals as the second result value comprises:
determining more than one sampling set, wherein each sampling set comprises more than one terminal;
according to the formula
Figure FDA0002564640020000021
Determining the arithmetic mean of the corrected RSRP0 of all terminals in each sampling set to obtain a third result value, wherein the RSRP0iIs the third result value, NiIs the total number of terminals in the ith sample set, RSRP0Correction of(m) is in the ith sample setCorrected RSRP0 for the mth terminal;
according to the formula
Figure FDA0002564640020000022
Obtaining a fourth result value, wherein P0(i) is the fourth result value, RSRP0iIs the third result value;
according to the formula
Figure FDA0002564640020000023
Determining an average value of the corrected RSRPs 0 of all terminals as a first result value, wherein the RSRP0avgIs the first result value;
according to the formula
Figure FDA0002564640020000024
Determining the arithmetic mean of the corrected RSRP1 of all terminals of each sampling set to obtain a fifth result value, wherein the RSRP1iIs a fifth result value, NiIs the total number of terminals in the ith sample set, RSRP1Correction of(m) corrected RSRP1 for the mth terminal in the ith sample set;
according to the formula
Figure FDA0002564640020000031
Obtaining a sixth result value, wherein P1(i) is the sixth result value, RSRP1iIs a fifth result value;
according to the formula
Figure FDA0002564640020000032
Determining an average value of the corrected RSRPs 1 of all terminals as a second result value, wherein the RSRP1avgIs the second result value.
5. The method of claim 4, wherein determining more than one sample set comprises:
determining a first projection line of a main radiation direction of the base station antenna on a horizontal plane;
determining the angle of an included angle between a second projection line and the first projection line of a straight line between each terminal and the base station antenna on the horizontal plane;
the terminals of the same angle are determined as one sampling set.
6. The method of claim 5, further comprising:
according to the formula
Figure FDA0002564640020000033
Normalizing the third result value to obtain a seventh result value, wherein the RSRP01 iIs the seventh result value;
according to the formula
Figure FDA0002564640020000034
Carrying out normalization processing on the fifth result value to obtain an eighth result value, wherein RSRP01 iIs the eighth result value;
according to the formula
Figure FDA0002564640020000035
Smoothing the seventh result value to obtain a ninth result value, wherein the RSRP0 isi 2Is the ninth outcome value;
according to the formula
Figure FDA0002564640020000036
Performing smoothing processing on the eighth result value to obtain a tenth result value;
generating a first image according to the ninth result value and the tenth result value;
outputting the first image.
7. The method of claim 6, further comprising:
subtracting the ninth result value and the tenth result value to determine an eleventh result value;
generating a second image according to the eleventh result value;
and outputting the second image.
8. A device for determining RS balance of LTE system based on frequency sweep, which is characterized in that the device comprises:
a first determining module for determining a path transmission loss for each terminal in each sample set;
a correction module, configured to correct reference signal received power RSRP0 and RSRP1 received by each terminal according to a path transmission loss of each terminal;
a second determining module, configured to determine an average value of the corrected RSRPs 0 of all terminals as a first result value, and determine an average value of the corrected RSRPs 1 of all terminals as a second result value;
the first judgment module is used for judging whether the absolute value of the difference value between the first result value and the second result value meets a first preset condition or not; the first preset condition comprises that the absolute value of the difference value of the first result value and the second result value is not less than a first preset value;
the second judgment module is used for judging whether the rank2TB ratio example meets a second preset condition or not if the absolute value of the difference value between the first result value and the second result value meets the first preset condition; the second preset condition comprises that the ratio of rank2TB is not more than a second preset value;
and the third determining module is used for determining that the reference signal imbalance fault exists in the base station antenna if the rank2TB number ratio meets a second preset condition.
9. The apparatus of claim 8, wherein the first determining module comprises:
a first determining unit, configured to determine a height Dhb of the base station antenna;
a second determining unit, configured to determine a distance r (N) between the base station antenna and an nth terminal, where N is a natural number from 1 to N, and N is a total number of terminals in all sampling sets;
a third determination unit for determining (1-4 × 10) a value of 40 × (l) according to the formula l (n)-3Determining the path transmission loss of the nth terminal, wherein L (n) is the path transmission loss of the nth terminal, Dhb is the height of a base station antenna, R (n) is the distance between the nth terminal and the base station antenna, and f is the center frequency of a cell.
10. The apparatus of claim 8, wherein the correction module comprises:
a fourth determining unit, configured to determine RSRP0 and RSRP1 received by each terminal;
a correction unit for calculating RSRP0 according to the path transmission loss of each terminalCorrection of(n) ═ RSRP0(n) + L (n) and RSRP1Correction of(N) ═ RSRP1(N) + l (N) to correct the reference signal received power RSRP0 and RSRP1 of each terminal itself, respectively, where N is a natural number from 1 to N, N is the total number of terminals in all sample sets, RSRP0Correction of(n) is the corrected RSRP0 of the nth terminal, RSRP0(n) is the RSRP0 and RSRP1 received by the nth terminalCorrection ofThe reference symbol (n) is the corrected RSRP1 of the nth terminal, the RSRP1(n) is the RSRP1 received by the nth terminal, and l (n) is the path transmission loss of the nth terminal.
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