CN113133034B - Base station direction angle deviation rectifying method based on user MR, storage medium and device - Google Patents
Base station direction angle deviation rectifying method based on user MR, storage medium and device Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a base station direction angle deviation rectifying method, a storage medium and a device based on a user MR, wherein the method comprises the following steps: setting the size, the calculation radius and the initial position of a lobe angle of a direction angle and the angle movement degree of the direction angle by taking the position of a base station as the origin of the direction angle; moving the direction angles according to the angle movement degrees, and calculating the fitting degree of each direction angle; taking the direction angle with the highest fitting degree as the direction angle of the base station; the calculating the fitting degree of each direction angle comprises the following steps: calculating actual rsrp values of the MR data uploaded at all user positions in the direction angle, and calculating through a coverage model to obtain corresponding fitted rsrp values; if the actual rsrp value and the fitted rsrp value are within a certain error range, the degree of fit is increased. The method only needs to input the MR data containing the longitude and latitude information and the rsrp value information and the longitude and latitude data of the base station, and generates the coverage direction angle of the cell through automatic calculation.
Description
Technical Field
The invention relates to a base station direction angle deviation rectifying method, a storage medium and a device based on a user MR.
Background
The base station azimuth information is the basis for base station management. However, most of the base station cell direction angle data uploaded to the big data system by the network manager at present are manually reported, no stable acquisition way is available, and the situation that the network management direction angle of some base stations is inconsistent with the actual direction angle exists, which also brings difficulty to the daily maintenance optimization management of the subsequent base stations. Aiming at the problems, a set of method for judging the direction angle of the base station according to the MR data uploaded by the user is established, and based on the method, the correction of the direction angle of the base station can be carried out.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method, a storage medium and a device for correcting the direction angle of a base station based on a user MR.
The purpose of the invention is realized by the following technical scheme:
the invention provides a base station direction angle correction method based on a user MR (magnetic resonance), which comprises the following steps of:
setting the size, the calculation radius and the initial position of a lobe angle of a direction angle and the angle movement degree of the direction angle by taking the position of a base station as the origin of the direction angle;
moving the direction angles according to the angle movement degrees, and calculating the fitting degree of each direction angle;
taking the direction angle with the highest fitting degree as the direction angle of the base station;
the calculating the fitting degree of each direction angle comprises the following steps:
calculating actual rsrp values of the MR data uploaded at all user positions in the direction angle, and calculating through a coverage model to obtain corresponding fitted rsrp values;
if the actual rsrp value and the fitted rsrp value are within a certain error range, the degree of fit is increased.
Further, the lobe angle is 65 °, the calculation radius is 1km, and the angular movement degree is 5 °.
Further, the fitted rsrp value is calculated as:
the base station transmitting power + base station antenna gain-bottom noise-path loss-penetration loss-human body loss-interference margin + mobile phone antenna gain-mobile phone noise coefficient.
Further, the base stationTransmitting power 10 LOG10(total base station power/total number of PRBs/12 × 1000); the gain of the base station antenna is set to be a fixed value according to different equipment models; the floor noise is-174 +10lg (subcarrier spacing).
Further, the path loss is divided into urban scene path loss and rural scene path loss; the urban scene path loss calculation mode comprises the following steps:
PLUMa-NLOS＝max(PLUMa-LOS,PL′UMa-NLOS)
PL1＝28.0+22log10(d3D)+20log10(fc)
PL2＝28.0+40log10(d3D)+20log10(fc)-9log10((d′BP)2+(hBS-hUT)2)
PL′UMa-NLOS＝13.54+39.08log10(d3D)+20log10(fc)-0.6(hUT-1.5)
wherein PLUma-NLOSRepresenting path loss, PL, in non-line-of-sight scenarios for urban macrocellsUma-LOSRepresents the path loss, PL ', in the line-of-sight scenario of a city macrocell'Uma-LOSRepresenting the path loss of the actual calculated urban macro cell under the non-line-of-sight scene;
d2Dis the planar distance, d ', of the user position from the base station cell'BPRepresenting that the distance value of the boundary point is 4h'BS*h'UT*fc/c，h'BS＝hBS–hE，h'UT＝hUT–hE，hBSIndicates the base station antenna height, hUTIndicates the height of the user, hEIs 0.8m-1.2m, fcIs the center frequency of the base station frequency point, c is 3.0 × 108m/s，d3DThe specific calculation formula is that the 3D distance between the point and the base station cell antenna is：
The rural scene path loss calculation mode comprises the following steps:
at d2DWithin 10m to 5km, using PLRMa-NLOSAs PL path loss, when d2DWhen greater than 5km, PL is usedRMa-LOSAs PL path loss, where:
PLRMa-NLOS＝max(PLRMa-LOS,PL′RMa-NLOS)
PL′RMa-NLOS＝161.04-7.1log10(W)+7.5log10(h)
-(24.37-3.7(h/hBS)2)log10(hBS)
+(43.42-3.1log10(hBS))(log10(d3D)-3)
+20log10(fc)-(3.2(log10(11.75hUT))2-4.97)
PL1＝20log10(40πd3Dfc/3)+min(0.03h1.72,10)log10(d3D)
-min(0.044h1.72,14.77)+0.002log10(h)d3D
PL2＝PL1(dBP)+40log10(d3D/dBP)
wherein PLRma-NLOSRepresents the path loss, PL, of a rural macrocellular in a non-line-of-sight scenarioRma-LOSRepresents the path loss, PL ', in the line-of-sight scenario of a city macrocell'Rma-LOSRepresenting the path loss of the actually calculated rural macro-cell under the non-line-of-sight scene;
w denotes street width, h denotes average building height, dBP＝2πhBShUTfc/c。
Further, the penetration loss is the loss of penetration of electromagnetic waves with different frequencies on different scene paths.
Further, the human body loss, the mobile phone antenna gain and the mobile phone noise coefficient are all fixed values; the interference margin sub-scenes are set to different values.
Further, the calculating the actual rsrp value of the MR data uploaded at the position where all users are located in the direction angle includes:
the acquired MR data comprises an MR longitude and latitude field and an MR signal strength rsrp field, the MR longitude and latitude field is used for calculating a fitting rsrp value, and the MR signal strength rsrp field is used as the actual rsrp value.
In a second aspect of the present invention, a storage medium is provided, on which computer instructions are stored, and the computer instructions are executed to perform the steps of the method for correcting the direction angle of the base station based on the user MR.
In a third aspect of the present invention, an apparatus is provided, which includes a memory and a processor, the memory stores computer instructions executable on the processor, and the processor executes the computer instructions to perform the steps of the method for correcting the base station direction angle based on the user MR.
The invention has the beneficial effects that:
(1) in an exemplary embodiment of the invention, only MR data containing longitude and latitude information and rsrp value information and the longitude and latitude data of the base station itself need to be input, and the coverage direction angle of the cell is generated through automatic calculation.
(2) In an exemplary embodiment of the invention, a specific calculation mode for fitting the rsrp value is disclosed, so that the calculation is accurate and reliable.
Drawings
FIG. 1 is a flow chart of a method in an exemplary embodiment of the invention;
FIG. 2 is a schematic view of an initial position in an exemplary embodiment of the invention;
FIG. 3 is a schematic illustration of a movement of a direction angle to one of the directions in an exemplary embodiment of the invention;
FIG. 4 is a diagram illustrating user locations and base station cells in an exemplary embodiment of the invention;
fig. 5 is an antenna gain pattern in an exemplary embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it is to be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Referring to fig. 1, fig. 1 illustrates a method for correcting a base station direction angle based on a user MR (Measurement Report) according to an exemplary embodiment of the present invention, where the MR refers to data transmitted every 480ms (470 ms on a signaling channel) on a traffic channel, and the data can be used for network evaluation and optimization.
The method comprises the following steps:
s1: and setting the size of the lobe angle of the direction angle, the calculation radius and the initial position of the direction angle and the angle movement degree of the direction angle by taking the position of the base station as the origin of the direction angle.
In one exemplary embodiment, the lobe angle is 65 °, the calculation radius is 1km, the angular movement is 5 °, the initial position is the north direction, as shown in fig. 2, and the dot is the user position.
S3: and moving the direction angles according to the angle movement degrees, and calculating the fitting degree of each direction angle.
As shown in fig. 3, fig. 3 is a schematic diagram of the direction angle moving to one of the directions.
S5: and taking the direction angle with the highest fitting degree as the direction angle of the base station.
Wherein: the calculating the fitting degree of each direction angle comprises the following steps:
s31: calculating actual rsrp values of the MR data uploaded at all user positions in the direction angle, and calculating through a coverage model to obtain corresponding fitted rsrp values;
s33: if the actual rsrp value and the fitted rsrp value are within a certain error range, the degree of fit is increased.
RSRP (Reference Signal Receiving Power) is one of the key parameters that can represent the wireless Signal strength in LTE networks and the physical layer measurement requirements, and is the average of the received Signal Power over all REs (resource elements) that carry Reference signals within a certain symbol.
Namely, under the condition of keeping the total number of the MR strips constant, the direction angle with the highest fitting degree is finally found.
rsrpmrThe MR messages are automatically reported by all user terminals and automatically acquired by a network management system. In the actual calculation process, the area in the sector direction angle can be drawn as a 10 × 10m (certain area) grid, and the rsrp in the same gridmrGet the number of the calculationAfter a certain time is accumulated, rsrp in each grid is ensuredmrThe data is ready.
Wherein, in an exemplary embodiment, the initial value of the fitness is 0, and the increasing the fitness is 1 per increase; in yet another exemplary embodiment, in an exemplary embodiment, the initial value of the fitting degree is 0, and the increasing fitting degree is an increase in a proportion of 1 according to an actual error proportion, that is: if rsrpmr＝rsrpFittingThe degree of fitting is increased by 1; if rsrpmr＝X*rsrpFittingOr X < rsrpmr＝rsrpFittingAnd X is less than 1 and greater than 0.9 (optional), then the fitness corresponds to an increase in X, otherwise the fitness is not increased.
More preferably, in an exemplary embodiment, the calculating the actual rsrp values of the MR data uploaded at the positions where all users are located in the direction angle in step S31 includes:
the acquired MR data comprises an MR longitude and latitude field and an MR signal strength rsrp field, the MR longitude and latitude field is used for calculating a fitting rsrp value, and the MR signal strength rsrp field is used as the actual rsrp value.
The MR longitude and latitude field is the position where the user reports the MR, is not influenced by other factors and has the characteristic of high accuracy; and the MR signal strength rsrp field is used to reflect the reference signal received power of the serving cell received by the UE. By this field, the signal strength of the user at the time of service use can be determined.
Namely rsrpmrThe message from MR is automatically reported by all user terminals, is automatically acquired by a network management system, and is rsrp after accumulating for a certain time according to actual network experiencemrThe data may traverse all locations on the map.
More preferably, in an exemplary embodiment, the fitted rsrp value in step S31 is calculated by:
the base station transmitting power + base station antenna gain-bottom noise-path loss-penetration loss-human body loss-interference margin + mobile phone antenna gain-mobile phone noise coefficient.
The manner in which the 9 calculated values in the rsrp value are fitted is illustrated below:
preferably, in an exemplary embodiment, the base station transmit power is 10 LOG10(total base station power/total number of PRBs/12 × 1000). The PRB is a physical rb, i.e., a physical resource block, and is the minimum allocation unit of downlink resources, and the size of the PRB is 25 subcarriers, i.e., 375 kHz.
The antenna gain of the base station is set to a fixed value according to different types of equipment, and an antenna gain directional pattern is shown in fig. 5.
The floor is-174 +10lg (subcarrier spacing), which in a preferred exemplary embodiment is 30 k.
Preferably, in an exemplary embodiment, the path loss is divided into urban scene path loss and rural scene path loss; the urban scene path loss calculation mode comprises the following steps:
PLUMa-NLOS＝max(PLUMa-LOS,PL′UMa-NLOS)
PL1＝28.0+22log10(d3D)+20log10(fc)
PL2＝28.0+40log10(d3D)+20log10(fc)-9log10((d′BP)2+(hBS-hUT)2)
PL′UMa-NLOS＝13.54+39.08log10(d3D)+20log10(fc)-0.6(hUT-1.5)
wherein PLUma-NLOSRepresenting path loss, PL, in non-line-of-sight scenarios for urban macrocellsUma-LOSRepresents the path loss, PL ', in the line-of-sight scenario of a city macrocell'Uma-LOSRepresenting the path loss of the actual calculated urban macro cell under the non-line-of-sight scene;
as shown in FIG. 4, d2DIs the planar distance, d ', of the user position from the base station cell'BPIndicating a demarcation pointThe value of the Distance (Break Point Distance) is 4h'BS*h'UT*fc/c，h'BS＝hBS–hE，h'UT＝hUT–hE，hBSIndicates the base station antenna height, hUTIndicates the height of the user, hE0.8m to 1.2m (preferably 1m), fcIs the center frequency of the base station frequency point, c is 3.0 × 108m/s，d3DThe specific calculation formula is the 3D distance between the point and the base station cell antenna:
the rural scene path loss calculation mode comprises the following steps:
at d2DWithin 10m to 5km, using PLRMa-NLOSAs PL path loss, when d2DWhen greater than 5km, PL is usedRMa-LOSAs PL path loss, where:
PLRMa-NLOS＝max(PLRMa-LOS,PL′RMa-NLOS)
PL′RMa-NLOS＝161.04-7.1log10(W)+7.5log10(h)
-(24.37-3.7(h/hBS)2)log10(hBS)
+(43.42-3.1log10(hBS))(log10(d3D)-3)
+20log10(fc)-(3.2(log10(11.75hUT))2-4.97)
PL1＝20log10(40πd3Dfc/3)+min(0.03h1.72,10)log10(d3D)
-min(0.044h1.72,14.77)+0.002log10(h)d3D
PL2＝PL1(dBP)+40log10(d3D/dBP)
wherein PLRma-NLOSRepresents the path loss, PL, of a rural macrocellular in a non-line-of-sight scenarioRma-LOSRepresents the path loss, PL ', in the line-of-sight scenario of a city macrocell'Rma-LOSRepresenting the path loss of the actually calculated rural macro-cell under the non-line-of-sight scene;
w denotes street width, h denotes average building height, dBP＝2πhBShUTfc/c。
Preferably, in an exemplary embodiment, the penetration loss is a loss of penetration of electromagnetic waves of different frequencies on different scene paths.
In particular, the empirical values are as follows:
preferably, in an exemplary embodiment, the human body loss, the mobile phone antenna gain and the mobile phone noise coefficient are all fixed values; the interference margin sub-scenes are set to different values.
Wherein, the human body loss is a fixed value, and 0 is taken out under the condition of 3.5G; the gain of the mobile phone antenna is 8 db generally; the mobile phone noise coefficient 9 is a fixed value of 7 db;
the interference margin scenes are different from each other, for example: when the outdoor scene is covered outdoors, the dense urban area is 17db, the urban area is 15db, the suburban area is 13db, and the rural area is 10 db; when the scene is outdoor and indoor, the dense urban area is 7db, the urban area is 6db, the suburban area is 4db, and the rural area is 2 db.
In addition, the direction angle calculated by the present invention can better help to present the coverage direction and the real coverage situation of the cell on the GIS map, that is, as shown in fig. 2 and fig. 3.
Yet another exemplary embodiment of the present invention provides a storage medium having stored thereon computer instructions which, when executed, perform the steps of the method for correcting a base station direction angle based on a user MR.
Yet another exemplary embodiment of the present invention provides an apparatus, which includes a memory and a processor, wherein the memory stores computer instructions executable on the processor, and the processor executes the computer instructions to perform the steps of the method for correcting the direction angle of a base station based on a user MR.
Based on such understanding, the technical solutions of the present embodiments may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including several instructions for causing an apparatus to execute all or part of the steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It is to be understood that the above-described embodiments are illustrative only and not restrictive of the broad invention, and that various other modifications and changes in light thereof will be suggested to persons skilled in the art based upon the above teachings. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications of the invention may be made without departing from the spirit or scope of the invention.
Claims (8)
1. A base station direction angle deviation rectifying method based on a user MR is characterized in that: the method comprises the following steps:
setting the size, the calculation radius and the initial position of a lobe angle of a direction angle and the angle movement degree of the direction angle by taking the position of a base station as the origin of the direction angle;
moving the direction angles according to the angle movement degrees, and calculating the fitting degree of each direction angle;
taking the direction angle with the highest fitting degree as the direction angle of the base station;
the calculating the fitting degree of each direction angle comprises the following steps:
calculating actual rsrp values of the MR data uploaded at all user positions in the direction angle, and calculating through a coverage model to obtain corresponding fitted rsrp values;
if the actual rsrp value and the fitted rsrp value are within a certain error range, the fitting degree is increased;
the calculation mode of the fitted rsrp value is as follows:
the method comprises the following steps that (1) base station transmitting power, base station antenna gain, bottom noise, path loss, penetration loss, human body loss, interference margin, mobile phone antenna gain and mobile phone noise coefficient are added;
the path loss is divided into urban scene path loss and rural scene path loss; the urban scene path loss calculation mode comprises the following steps:
PLUMa-NLOS＝max(PLUMa-LOS,PL′UMa-NLOS)
PL1＝28.0+22log10(d3D)+20log10(fc)
PL2＝28.0+40log10(d3D)+20log10(fc)-9log10((d′BP)2+(hBS-hUT)2)
PL′UMa-NLOS＝13.54+39.08log10(d3D)+20log10(fc)-0.6(hUT-1.5)
wherein PLUma-NLOSRepresenting path loss, PL, in non-line-of-sight scenarios for urban macrocellsUma-LOSRepresents the path loss, PL ', in the line-of-sight scenario of a city macrocell'Uma-LOSRepresenting the path loss of the actual calculated urban macro cell under the non-line-of-sight scene;
d2Dis the planar distance, d ', of the user position from the base station cell'BPRepresenting that the distance value of the boundary point is 4h'BS*h'UT*fc/c，h'BS＝hBS–hE，h'UT＝hUT–hE，hBSIndicates the base station antenna height, hUTIndicates the height of the user, hEIs 0.8m-1.2m, fcIs the center frequency of the base station frequency point, c is 3.0 × 108m/s，d3DFor the 3D distance between the user location and the base station cell antenna, the specific calculation formula is:
the rural scene path loss calculation mode comprises the following steps:
at d2DWithin 10m to 5km, using PLRMa-NLOSAs PL path loss, when d2DAt more than 5km, PL is usedRMa-LOSAs PL path loss, where:
PLRMa-NLOS＝max(PLRMa-LOS,PL′RMa-NLOS)
PL′RMa-NLOS＝161.04-7.1log10(W)+7.5log10(h)-(24.37-3.7(h/hBS)2)log10(hBS)+(43.42-3.1log10(hBS))(log10(d3D)-3)+20log10(fc)-(3.2(log10(11.75hUT))2-4.97)
PL1＝20log10(40πd3Dfc/3)+min(0.03h1.72,10)log10(d3D)-min(0.044h1.72,14.77)+0.002log10(h)d3D
PL2＝PL1(dBP)+40log10(d3D/dBP)
wherein PLRma-NLOSRepresents the path loss, PL, of a rural macrocellular in a non-line-of-sight scenarioRma-LOSShowing cityPath loss, PL 'in line of sight scenario for City macrocells'Rma-LOSRepresenting the path loss of the actually calculated rural macro-cell under the non-line-of-sight scene;
w denotes street width, h denotes average building height, dBP＝2πhBShUTfc/c。
2. The method for correcting the direction angle of the base station based on the MR of the user as claimed in claim 1, wherein: the lobe angle is 65 degrees, the calculation radius is 1km, and the angle movement degree is 5 degrees.
3. The method for correcting the direction angle of the base station based on the MR of the user as claimed in claim 1, wherein: the base station transmitting power is 10 LOG10(total base station power/total number of PRBs/12 × 1000); the gain of the base station antenna is set to be a fixed value according to different equipment models; the floor noise is-174 +10lg (subcarrier spacing).
4. The method for correcting the direction angle of the base station based on the MR of the user as claimed in claim 1, wherein: the penetration loss is the loss of the electromagnetic waves with different frequencies penetrating on different scene paths.
5. The method for correcting the direction angle of the base station based on the MR of the user as claimed in claim 1, wherein: the human body loss, the mobile phone antenna gain and the mobile phone noise coefficient are fixed values; the interference margin sub-scenes are set to different values.
6. The method for correcting the direction angle of the base station based on the MR of the user as claimed in claim 1, wherein: the calculating of the actual rsrp values of the uploaded MR data at the positions of all the users in the direction angle includes:
the acquired MR data comprises an MR longitude and latitude field and an MR signal strength rsrp field, the MR longitude and latitude field is used for calculating a fitting rsrp value, and the MR signal strength rsrp field is used as the actual rsrp value.
7. A storage medium having stored thereon computer instructions, characterized in that: the computer instructions when executed perform the steps of a method for correcting the direction angle of a base station based on the MR of any one of claims 1-6.
8. An apparatus comprising a memory and a processor, the memory having stored thereon computer instructions for execution by the processor, wherein the processor executes the computer instructions to perform the steps of any one of claims 1-6 of a method for correcting a base station steering angle based on a user MR.
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