CN110012418A - Recognition methods, device, equipment and the medium of wireless network covering problem - Google Patents
Recognition methods, device, equipment and the medium of wireless network covering problem Download PDFInfo
- Publication number
- CN110012418A CN110012418A CN201711494737.3A CN201711494737A CN110012418A CN 110012418 A CN110012418 A CN 110012418A CN 201711494737 A CN201711494737 A CN 201711494737A CN 110012418 A CN110012418 A CN 110012418A
- Authority
- CN
- China
- Prior art keywords
- user terminal
- signal
- base station
- distance
- intensity variation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
- H04B17/318—Received signal strength
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses recognition methods, device, equipment and the media of a kind of wireless network covering problem.This method comprises: transmitting situation according to the signal between user terminal and base station, user terminal is positioned；Wireless network signal propagation model is constructed, standard signal intensity variation curve is obtained by the propagation model；The signal strength of the signal of the received user terminal in user terminal base station in different location under different scenes is obtained, the variable condition according to the signal strength with user terminal at a distance from base station forms measured signal intensity variation curve；The measured signal intensity variation curve and the standard signal intensity variation curve are compared, according to comparing result, identified to the reason of leading to signal covering problem.The present invention is based on user terminal positioning and the comparisons of measured data and normal data, can identify automatically to the reason of leading to signal covering problem, effectively improve working efficiency.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of recognition methods of wireless network covering problem, device,
Equipment and medium.
Background technique
With the propulsion that LTE network is built, city depth covering problem is increasingly prominent, how to carry out antenna-feed parameter optimization
Playing maximal cover effect becomes an important project, and current antenna deflection optimizes and revises that there are biggish blindness, and
It cannot carry out targetedly deflection according to practical coverage condition to be arranged and optimize, base station antenna feeder deflection tune in routine optimization
It is whole only by optimization personnel experience and road test result be adjusted, for LTE depth covering problem solve directiveness compared with
Difference.
The existing identification technology means to wireless network covering problem mainly pass through drive test, frequency sweep or indoor fixed point and survey
Examination by manual analysis goes out different covering problems and for different covering problems to obtain MPS process situation
Scheme optimization.The process of manual analysis often by virtue of experience with intuition judge, inefficiency.
Therefore, it is necessary to a kind of identification and the more efficient methods of optimization wireless network covering problem.
Summary of the invention
The embodiment of the present invention provides a kind of antenna directional angle optimization method, storage medium and equipment, fixed based on user terminal
The comparison of position and measured data and normal data, being capable of automatic identification signal covering problem.
In a first aspect, the embodiment of the invention provides a kind of recognition methods of wireless network covering problem, the method packet
It includes:
Situation is transmitted according to the signal between user terminal and base station, user terminal is positioned；
Wireless network signal propagation model is constructed, standard signal intensity variation curve is obtained by the propagation model；
Obtain the signal of the signal of the received user terminal in user terminal base station in different location under different scenes
It is bent to form measured signal Strength Changes for intensity, the variable condition according to the signal strength with user terminal at a distance from base station
Line；
The measured signal intensity variation curve and the standard signal intensity variation curve are compared, according to right
Than as a result, being identified to the reason of leading to signal covering problem.
Second aspect, the embodiment of the invention provides a kind of identification device of wireless network covering problem, described device packets
Include: locating module, the first signal curve obtain module, second signal curve acquisition module, reason identification module；
The locating module carries out user terminal for transmitting situation according to the signal between user terminal and base station
Positioning；
First signal curve obtains module, for constructing wireless network signal propagation model, by the propagation model
Obtain standard signal intensity variation curve；
The second signal curve acquisition module, for obtaining user terminal base station in different location under different scenes
Received signal intensity, the variable condition according to the signal strength with terminal at a distance from base station form measured signal intensity and become
Change curve；
The reason identification module, the measured signal intensity variation curve and the standard signal Strength Changes is bent
Line compares, and according to comparing result, identifies to the reason of leading to signal covering problem.
The third aspect, the embodiment of the invention provides a kind of computer equipments, comprising: at least one processor, at least one
A memory and computer program instructions stored in memory, it is real when computer program instructions are executed by processor
Now such as the method for first aspect in above embodiment.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, are stored thereon with computer journey
The method such as first aspect in above embodiment is realized in sequence instruction when computer program instructions are executed by processor.
Antenna directional angle optimization method, device, equipment and medium provided in an embodiment of the present invention, can obtain has as follows
At least one of in beneficial effect:
1) based on the positioning of user terminal, pass through measured signal intensity variation curve and standard signal intensity variation curve
Comparison, the type of signal covering problem can be automatically identified；
2) by carrying out clustering to signal covering problem, corresponding prioritization scheme can be exported targetedly so as to energy
It is enough preferably to optimize.
3) not only included the advantages of on-the-spot test optimization covers, but also the automation output of scheme can be optimized, greatly reduced
Man power and material, improves work efficiency and economic benefit.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to required in the embodiment of the present invention
The attached drawing used is briefly described, for those of ordinary skill in the art, in the premise not made the creative labor
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 shows the process signal of the recognition methods of wireless network covering problem provided by one embodiment of the present invention
Figure.
Fig. 2 shows the positioning principle schematic diagrams of the embodiment one of the embodiment of the present invention.
Fig. 3 shows the positioning principle schematic diagram of the embodiment two of the embodiment of the present invention.
Fig. 4 shows the positioning principle schematic diagram of the embodiment three of the embodiment of the present invention.
Fig. 5 shows the schematic diagram of MR set covering theory.
Fig. 6 shows the curve comparison schematic diagram of signal strength under antenna technique scene.
Fig. 7 shows the grid schematic diagram of signal strength under antenna technique scene.
Fig. 8 shows the curve comparison schematic diagram of signal strength under antenna occlusion scene.
Fig. 9 shows the grid schematic diagram of signal strength under antenna occlusion scene.
Figure 10 shows the curve comparison schematic diagram that building wear signal strength under damage scene.
Figure 11 shows the grid schematic diagram that building wear signal strength under damage scene.
Figure 12 shows the structural representation of the identification device of wireless network covering problem provided by one embodiment of the present invention
Figure.
Figure 13 shows the meter of the recognition methods of achievable wireless network covering problem provided by one embodiment of the present invention
Calculate the structural schematic diagram of machine equipment.
Specific embodiment
The feature and exemplary embodiment of various aspects of the invention is described more fully below, in order to make mesh of the invention
, technical solution and advantage be more clearly understood, with reference to the accompanying drawings and embodiments, the present invention is further retouched in detail
It states.It should be understood that specific embodiment described herein is only configured to explain the present invention, it is not configured as limiting the present invention.
To those skilled in the art, the present invention can be real in the case where not needing some details in these details
It applies.Below the description of embodiment is used for the purpose of better understanding the present invention to provide by showing example of the invention.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation
There are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to
Cover non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of person's equipment.In the absence of more restrictions, the element limited by sentence " including ... ", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Embodiment one
Fig. 1 shows the flow diagram of the recognition methods of the wireless network covering problem of the offer of the embodiment of the present invention one.
As shown in Figure 1, as a preferred embodiment, which comprises
Step S101 transmits situation according to the signal between user terminal and base station, determines user terminal (UE)
Position, determines the position of user terminal.
Step S101 includes the following three types positioning method:
Mode one, as shown in Fig. 2, according between base station and user terminal signal transmission distance and the reception arrived of base station
Direction of arrival (AOA) positioning user terminal of signal.
Specifically, mode one includes:
1) base station determines the TA adjusted value t of the terminal by the uplink transmission data of measurement counterpart terminal, so that it is determined that
The signal transmission distance of the terminal and base station, wherein TA is Timing Advance (Timing Advance)；The calculating of the distance
Formula are as follows: R=ct/2, wherein c is the light velocity；
2) incident direction for receiving signal is measured, so that it is determined that terminal is relative to ginseng by aerial array in base station receiving end
Examine the angle, θ of direction (usually direct north)；
3) position range of terminal is determined according to distance R, it is radius which, which is by the center of circle, distance R of base station,
Then circumference determines the specific location of terminal, i.e. certain point on circumference according to angle, θ.
If the position coordinates of multiple base stations (eNB) areWhereinFor source base station coordinate, angle of arrival AoA is
θk, Timing Advance TAk, then position coordinates (the x of target UEUE,yUE) calculation formula are as follows:
It is whole to position user according to the direction of arrival (AOA, Angle-of-Arrival) of base station received signal for mode two
End.
The incident direction for receiving signal is measured by aerial array in multiple base station receiving ends, and determines each incident direction
Relative to the angle of reference direction, multiple angles are obtained；
Direction of the user terminal relative to each base station is determined by the multiple angle, obtains multiple directions；
The position of the user terminal is determined according at least one intersection that the multiple direction is formed.
Specifically, if the intersection that multiple directions are formed, which is user terminal location；If multiple
Direction forms two or more intersections, if then can be by clustering to two more than two intersection positions
It calculates, determines the position of user terminal.
As an example, it as shown in figure 3, first base station receiving end is by aerial array, measures and receives the first of signal
Incident direction, and determine first angle θ 1 of first incident direction relative to reference direction；
The second incident direction for receiving signal is measured by aerial array in second base station receiving end, and determines that second is incident
Second angle θ 2 of the direction relative to reference direction；
The third incident direction for receiving signal is measured by aerial array in third base station receiving end, and determines that third is incident
Third angle θ 3 of the direction relative to reference direction；
First direction of the terminal relative to first base station is determined by first angle θ 1, terminal phase is determined by second angle θ 2
For the second direction of the second base station, third direction of the terminal relative to third base station is determined by third angle θ 3；
Three intersections formed to three directions cluster, and determine the position of terminal.
The specific formula for calculation of mode two is as follows:
Data needed for positioning are denoted as scTA (source cell TA value), scAOA (source cell arrival angle value), it is known that sample
Point is that the source cell RSRP of k is denoted as scRSRPk, the RSRP of multiple non-co-sited adjacent areas is denoted asThe position of multiple base stations
It is denoted asTerminal location are as follows:
Wherein,For the reference signal power of source cell,For the signal gain of source cell,For the reference signal power of multiple non-co-sited adjacent areas,Increase for the signal of multiple non-co-sited adjacent areas
Benefit,It is clustering function for UE to the distance of base station i, f (L).
Mode three, according to the signal transmission distance positioning user terminal between base station and user terminal.
Multiple base stations correspond to the uplink transmission data of user terminal by measuring, and determine the TA adjustment of the user terminal
Value, calculates separately to obtain the user terminal at a distance from each base station by the multiple TA adjusted value, obtains multiple distances；
The position range for determining the user terminal respectively by the multiple distance obtains multiple position ranges, Mei Gewei
Set circumference of the range using its corresponding base station as the center of circle, corresponding distance for radius；
The position of the user terminal is determined according at least one intersection that multiple circumference are formed.
Specifically, if the intersection that multiple circumference are formed, the position of the intersection is the position of terminal；If
Multiple circumference form two or more intersections, then can by two and more than two intersection positions carry out
Cluster calculation determines the position of user terminal.
As an example, as shown in figure 4, first base station is by the uplink transmission data of measurement counterpart terminal, determining should
First TA adjusted value t1 of terminal, the first distance R1 of the terminal and first base station is calculated by the first TA adjusted value t1；
Second base station determines the 2nd TA adjusted value t2 of the terminal, by the by measuring the uplink transmission data of the terminal
The second distance R2 of the terminal Yu the second base station is calculated in two TA adjusted value t2；
Third base station determines the 3rd TA adjusted value t3 of the terminal, by the by measuring the uplink transmission data of the terminal
The third distance R3 of the terminal Yu third base station is calculated in three TA adjusted value t3；
By first distance R1, second distance R2 and third distance R3, can determine respectively terminal first position range,
Second position range and the third place range；It is radius that first position range, which is by the center of circle, first distance R1 of first base station,
The first circumference, second position range be by the center of circle, second distance R2 of the second base station be the second circumference of radius, third position
Setting range is the third circumference using third base station as the center of circle, third distance R3 for radius；
If the intersection of the first circumference, the second circumference and third circumference only one, which is the position of terminal
It sets；
If the intersection of the first circumference, the second circumference and third circumference is more than one, multiple intersection positions are carried out
Cluster calculation, so as to which the final position based on multiple intersections is calculated.
The specific formula for calculation of mode three is as follows:
The source cell RSRP that known sample point is k is denoted as scRSRPk, the RSRP of multiple non-co-sited adjacent areas is denoted asThe position of multiple base stations is denoted asThe position UE are as follows:
Wherein,For the reference signal power of multiple non-co-sited adjacent areas,It is multiple non-total
It stands the signal gain of adjacent area,For UE to the distance of base station i, determined respectively using scTA and scRSRP terminal to base station away from
From for RAAnd RB, whereinWithIt is respectively as follows:
Wherein,For the reference signal power of source cell,For the signal gain of source cell,It is clustering function for UE to the distance of base station i, f (L).
Step S102 constructs wireless network signal propagation model, obtains standard signal Strength Changes by the propagation model
Curve.
In the embodiment of the present invention one, constructed wireless network signal propagation model is standard macrocell propagation model, tool
Body, according to the variation with distance between terminal and base station, the variation of terminal received signal intensity can obtain being based on signal
Intensity with distance change standard signal intensity variation curve.
Standard macrocell propagation model is as follows:
L=K1+K2log(d)+K3Hms+K4log(Hms)+K5log(Heff)+K6log(d)log(Heff)+K7Diffraction
+KclutterWherein:
D: the distance between base station and mobile station (m)；
Hms: the height (m) on ground where mobile station；
Heff: the effective height (m) of antenna for base station；
Diffraction: by there is diffraction loss caused by obstructed paths (dB)；
Kclustter: atural object loss parameter step S103, acquisition terminal received signal intensity at multiple and different positions,
Form measured signal intensity variation curve；
K1~K7Value according to selected geomorphic province difference it is different, typical parameter value is as follows:
| Dense city | Common city | Suburb | Rural area | Highway | |
| K1 | 158 | 154 | 148 | 143 | 140 |
| K2 | 48 | 45 | 42 | 39 | 38 |
| K3 | 0 | 0 | 0 | 0 | 0 |
| K4 | 0 | 0 | 0 | 0 | 0 |
| K5 | -13.82 | -13.82 | -13.82 | -13.82 | -13.82 |
| K6 | -6.55 | -6.55 | -6.55 | -6.55 | -6.55 |
| K7 | 0.4 | 0.4 | 0.4 | 0.4 | 0.4 |
Step S103 obtains the signal of user terminal received user terminal in base station in different location under different scenes
Signal strength, it is bent to form measured signal Strength Changes the variable condition according to the signal strength with terminal at a distance from base station
Line.
MR set covering theory is constructed by following formula first, the base based on weak covering grid can be obtained based on the matrix
The level of cell topology of standing relationship and adjacent cells decline variation, to obtain measured signal intensity variation curve.
Wherein, RSRP is the RSRP distribution matrix of cell, RSRPAOA_I/TA_JIt is I, TA for AOA is in the region of J
The average value of RSRP, RSRPAOA_IThe RSRP sequence for being AOA on the direction I, matrix schematic diagram are as shown in Figure 5.
Step S104 compares measured signal intensity variation curve and standard signal intensity variation curve, according to right
Than as a result, being identified to the reason of leading to signal covering problem；
According to comparing result, following several situations will appear at least to identification the reason of leading to signal covering problem
It is a kind of:
If measured signal intensity variation curve and intensity difference of the standard signal intensity variation curve at any one distance
Value is all larger than given threshold, as shown in Figure 6, then it is assumed that there are problem when antenna receiving end receives signal, referred to as day Wiring technology is asked
Topic, grid schematic diagram is as shown in fig. 7, be formulated are as follows:
If to there are i ∈ R, RSRPAOA_IStandard decline field strengthi> Δ RSRP；
Standard decline field strengthi=transmission poweri+ antenna gaini-Li, Ri=f (Li)。
Wherein, standard decline field strengthiIt is by the calculated RSRP sequence of standard macrocell propagation model above-mentioned, Δ
RSRP is given threshold, LiFor path loss,.
Then think that receiving power in antenna opening there is problem, which belongs to antenna technological problems scene.Settable letter
Number rapid fading RSRP thresholding, signal rapid fading distance interval, signal rapid fading location parameter, the position that analysis rapid fading occurs,
Position weak covering reason.
If at any one distance before specific range, measured signal intensity variation curve and standard signal intensity
The strength difference of change curve is no more than given threshold, at any one distance after the specific range, the two it is strong
It spends difference and is greater than given threshold, as shown in Figure 8, then it is assumed that antenna exists in the specified distance to be blocked, and referred to as antenna occlusion is asked
Topic, grid schematic diagram is as shown in figure 9, be formulated are as follows:
If when i < K, RSRPAOA_IStandard decline field strengthi< < Δ RSRP；
If when i > K, RSRPAOA_IStandard decline field strengthi> Δ RSRP；
Standard decline field strengthi=transmission poweri+ antenna gaini-Li, Ri=f (Li)。
Then think after antenna K covering there is problem, which belongs to antenna occlusion problem scenes.It can set
Confidence rapid fading RSRP thresholding, signal rapid fading distance interval, signal rapid fading location parameter, analysis rapid fading occur
Position positions weak covering reason.
If in specified distance, the strength difference of measured signal intensity variation curve and standard signal intensity variation curve
Greater than given threshold, and at any one other distance except specific range, the strength difference of the two is no more than setting
Threshold value, as shown in Figure 10, then it is assumed that there are problems for certain regional areas in antenna footprint, such as the building of regional area
Space produces high-penetration loss, and referred to as height wears damage building problem, and grid schematic diagram is as shown in figure 11, is formulated are as follows:
If i ≠ KnWhen, RSRPAOA_IStandard decline field strengthi< < Δ RSRP；
If i=KnWhen, RSRPAOA_IStandard decline field strengthi> Δ RSRP；
Standard decline field strengthi=transmission poweri+ antenna gaini-Li, Ri=f (Li).
Then think to wear damage and ask greatly, there are problem, which belongs to local building apart from antenna certain regional areas covering
Inscribe scene.Settable signal rapid fading RSRP thresholding, signal rapid fading distance interval, signal rapid fading location parameter, analysis are fast
Decline the position occurred, localized reason.
If cell inCross coverage coefficient > thresholding Oth, then it is assumed that the cell was coverage cell, referred to as covering problem；Its
In, thresholding OthCan by the way that the weak covering sampled point accounting of each grid is made comparisons with practical drive test situation, determine one it is suitable
Value；Wherein, cell inCross coverage coefficient are as follows:
Wherein Lin,kFor the cell i being calculated according to cell longitude and latitude and grid center longitudenTo grid k distance,
If Lin,k> 2iN is averaged station spacing, then it is assumed that grid k is cell inCross covering grid.
In one example, it may also include step S105 in the embodiment of the present invention one.
Step S105 carries out clustering to signal covering problem according to the influence degree of signal covering problem, for
Different types of signal covering problem generates corresponding prioritization scheme in conjunction with its reason.
Specifically, signal covering problem is clustered according to Euclidean distance, principle are as follows:
If sample X1, sample X2The pattern vector of Euclidean space is tieed up for d, then the similarity degree of two classes (or two) sample can
Intuitively reflected by following Euclidean distance D:
Wherein, X11~X1dRespectively first kind sample X1In 1~d sample data, X21~X2dRespectively the second class sample
This X2In 1~d sample data.
Define error sum of squares criterion function are as follows:
Wherein, C indicates the classification number of signal covering problem, X(i)Indicate the i-th class sample, miIndicate the equal of the i-th class sample
It is worth vector, also illustrates that the center of the category, it may be assumed that
Then JeIndicate that sample gathers for after C classification, square of each sample therein to the error between center of all categories
With work as JeWhen minimum, optimal cluster result is obtained.
Based on principles above, signal covering problem can be divided into according to its weak covering influence degree and concentrate weak cover on a large scale
Lid, the weak covering in part, fragmentary weak covering three classes, the cluster standard of three classifications are as shown in the table:
For concentrating the situation of weak covering on a large scale, pay the utmost attention to solve its weak covering problem by macro station planning.
The situation of covering weak for part is paid the utmost attention to through macro station planning, the planning of micro- station or multi-service compartment system
(MDAS) planning is to solve its weak covering problem.
For the situation of fragmentary weak covering, the multi-signal covering problem identified according to step 400 and its formation are former
Cause generates corresponding prioritization scheme.
In one example, fine weak covering adjustment is provided for the cell for having obvious weak covering having found to suggest,
Including and be not limited to following a few classes:
For antenna technological problems, by comparing design drawing and checking to base station, installation and whole is carried out to antenna
Change etc. and to optimize；For antenna occlusion problem, the closeness of analysis building building exports fine azimuth Adjusted Option；
Damage problem is worn for building height, analyzes the reason of building lead to weak covering, room divider is carried out when necessary and draws；It is asked for crossing covering
Topic checks the setting of Downtilt, transmission power, generates the cell improving suggestions that can control and improve covering problem.
Based on the above content, the embodiment of the present invention one can get at least one in following beneficial effect:
1) based on the positioning of user terminal, pass through measured signal intensity variation curve and standard signal intensity variation curve
Comparison, the type of signal covering problem can be automatically identified；
2) by carrying out clustering to signal covering problem, corresponding prioritization scheme can be exported targetedly so as to energy
It is enough preferably to optimize.
3) not only included the advantages of on-the-spot test optimization covers, but also the automation output of scheme can be optimized, greatly reduced
Man power and material, improves work efficiency and economic benefit.
Embodiment two
Accordingly with the embodiment of the present invention one, Figure 12 shows that second embodiment of the present invention provides a kind of wireless networks to cover
The structural schematic diagram of the identification device of lid problem, the device include: locating module 201, and the first signal curve obtains module 202,
Second signal curve acquisition module 203, reason identification module 204.
The locating module 201, for transmitting situation according to the signal between user terminal and base station, to user terminal
It is positioned；
First signal curve obtains module 202, for constructing wireless network signal propagation model, by the propagation
Model obtains standard signal intensity variation curve；
The second signal curve acquisition module 203, for obtaining user terminal base in different location under different scenes
Received signal of standing intensity, the variable condition according to the signal strength with terminal at a distance from base station form measured signal intensity
Change curve；
The reason identification module 204 is used for the measured signal intensity variation curve and the standard signal intensity
Change curve compares, and according to comparing result, identifies to the reason of leading to signal covering problem.
In one example, the embodiment of the present invention two may also include scheme output module 205, the scheme output module
205, for the influence degree according to signal covering problem, clustering is carried out to signal covering problem, and according to cluster result
It generates and output phase answers prioritization scheme.
The specific restriction of the above-mentioned identification device about wireless network covering problem may refer to embodiment one, herein not
It repeats again.
Embodiment three
Accordingly with the embodiment of the present invention one, Figure 13 shows the embodiment of the present invention three and provides a kind of computer equipment
Structural schematic diagram, the equipment may include processor 301 and the memory 302 for being stored with computer program instructions.
Specifically, above-mentioned processor 301 may include central processing unit (CPU) or specific integrated circuit
(Application Specific Integrated Circuit, ASIC), or may be configured to implement of the invention real
Apply one or more integrated circuits of example.
Memory 302 may include the mass storage for data or instruction.For example it rather than limits, storage
Device 302 may include hard disk drive (Hard Disk Drive, HDD), floppy disk drive, flash memory, CD, magneto-optic disk, tape
Or the group of universal serial bus (Universal Serial Bus, USB) driver or two or more the above
It closes.In a suitable case, memory 302 may include the medium of removable or non-removable (or fixed).In suitable situation
Under, memory 302 can be inside or outside data processing equipment.In a particular embodiment, memory 302 is non-volatile
Solid-state memory.In a particular embodiment, memory 302 includes read-only memory (ROM).In a suitable case, the ROM
Can be the ROM of masked edit program, programming ROM (PROM), erasable PROM (EPROM), electric erasable PROM (EEPROM),
Electrically-alterable ROM (EAROM) or the combination of flash memory or two or more the above.
Processor 301 is by reading and executing the computer program instructions stored in memory 302, to realize embodiment
Any one antenna direction optimization method in one.
In one example, which may also include communication interface 303 and bus 310.Wherein, as shown in figure 4, processing
Device 301, memory 302, communication interface 303 connect by bus 310 and complete mutual communication.
Communication interface 303 is mainly used for realizing in the embodiment of the present invention between each module, device, unit and/or equipment
Communication.
Bus 310 includes hardware, software or both, and the component of the equipment is coupled to each other together.For example rather than
Limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhance Industry Standard Architecture (EISA) bus, is preceding
Hold bus (FSB), super transmission (HT) interconnection, the interconnection of Industry Standard Architecture (ISA) bus, infinite bandwidth, low pin count (LPC)
Bus, memory bus, micro- channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-
X) bus, Serial Advanced Technology Attachment (SATA) bus, Video Electronics Standards Association part (VLB) bus or other are suitable
The combination of bus or two or more the above.In a suitable case, bus 310 may include one or more total
Line.Although specific bus has been described and illustrated in the embodiment of the present invention, the present invention considers any suitable bus or interconnection.
The above-mentioned specific restriction about computer equipment may refer to embodiment one, and details are not described herein.
Example IV
Accordingly with the embodiment of the present invention one, the embodiment of the present invention four provides a kind of computer readable storage medium, the meter
Computer program instructions are stored on calculation machine readable storage medium storing program for executing；On being realized when the computer program instructions are executed by processor
Any one day in embodiment is stated to deflection optimization method.
The above-mentioned specific restriction about computer readable storage medium may refer to embodiment one, and details are not described herein.
It should be clear that the invention is not limited to specific configuration described above and shown in figure and processing.
For brevity, it is omitted here the detailed description to known method.In the above-described embodiments, it has been described and illustrated several
Specific step is as example.But method process of the invention is not limited to described and illustrated specific steps, ability
The technical staff in domain can be variously modified, modification and addition, or change the step it after understanding spirit of the invention
Between sequence.
Functional block shown in structures described above block diagram can be implemented as hardware, software, firmware or their group
It closes.When realizing in hardware, it may, for example, be electronic circuit, specific integrated circuit (ASIC), firmware appropriate, insert
Part, function card etc..When being realized with software mode, element of the invention be used to execute the program of required task or
Code segment.Perhaps code segment can store in machine readable media program or the data-signal by carrying in carrier wave exists
Transmission medium or communication links are sent." machine readable media " may include any Jie for capableing of storage or transmission information
Matter.The example of machine readable media include electronic circuit, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM),
Floppy disk, CD-ROM, CD, hard disk, fiber medium, radio frequency (RF) link, etc..Code segment can be via such as internet, interior
The computer network of networking etc. is downloaded.
It should also be noted that, the exemplary embodiment referred in the present invention, is retouched based on a series of step or device
State certain methods or system.But the present invention is not limited to the sequence of above-mentioned steps, that is to say, that can be according in embodiment
The sequence referred to executes step, may also be distinct from that the sequence in embodiment or several steps are performed simultaneously.
The above description is merely a specific embodiment, and those skilled in the art can be understood that
It arrives, for convenience of description and succinctly, system, the specific work process of module and unit of foregoing description can refer to aforementioned
Corresponding process in embodiment of the method, details are not described herein.It should be understood that scope of protection of the present invention is not limited thereto, it is any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or
Replacement, these modifications or substitutions should be covered by the protection scope of the present invention.
Claims (13)
1. a kind of recognition methods of wireless network covering problem, which is characterized in that the described method includes:
Situation is transmitted according to the signal between user terminal and base station, user terminal is positioned；
Wireless network signal propagation model is constructed, standard signal intensity variation curve is obtained by the propagation model；
The signal strength of the signal of the received user terminal in user terminal base station in different location under different scenes is obtained,
Variable condition according to the signal strength with user terminal at a distance from base station forms measured signal intensity variation curve；
The measured signal intensity variation curve and the standard signal intensity variation curve are compared, tied according to comparison
Fruit identifies to the reason of leading to signal covering problem.
2. the method according to claim 1, wherein the signal according between user terminal and base station transmits
Situation positions user terminal, comprising:
It is arrived according to the signal of signal transmission distance and the base station signal that receives the user terminal between base station and user terminal
Up to angle, user terminal is positioned.
3. according to the method described in claim 2, it is characterized in that, the signal according between base station and user terminal transmits
Distance and base station receive the direction of arrival of the signal of the user terminal, positioning user terminal, comprising:
Base station corresponds to the uplink transmission data of user terminal by measuring, and determines the Timing Advance TA adjustment of the user terminal
Value；
Determine the user terminal at a distance from base station according to TA adjusted value；
The position range of the user terminal is determined based on the distance, and determines that the user is whole in conjunction with the direction of arrival
The specific location at end.
4. the method according to claim 1, wherein the signal according between user terminal and base station transmits
Situation positions user terminal, comprising:
According to the direction of arrival of base station received signal, user terminal is positioned.
5. according to the method described in claim 4, it is characterized in that, the direction of arrival according to base station received signal, right
User terminal is positioned, comprising:
The incident direction for receiving signal is measured by aerial array in multiple base station receiving ends, and determines that each incident direction is opposite
In the angle of reference direction, multiple angles are obtained；
Direction of the user terminal relative to each base station is determined by the multiple angle, obtains multiple directions；
The position of the user terminal is determined according at least one intersection that the multiple direction is formed.
6. the method according to claim 1, wherein the signal according between user terminal and base station transmits
Situation positions user terminal, comprising:
According to the signal transmission distance between base station and user terminal, user terminal is positioned.
7. according to the method described in claim 6, it is characterized in that, according to the signal transmission distance between base station and user terminal
From being positioned to user terminal, comprising:
Multiple base stations correspond to the uplink transmission data of user terminal by measuring, and determine the TA adjusted value of the user terminal, by
The multiple TA adjusted value calculates separately to obtain the user terminal at a distance from each base station, obtains multiple distances；
The position range for determining the user terminal respectively by the multiple distance obtains multiple position ranges；
The position of the user terminal is determined according at least one intersection that the multiple position range is formed.
8. the method according to claim 1, wherein described according to comparing result, to the class of signal covering problem
Type is identified, comprising:
If measured signal intensity variation curve and strength difference of the standard signal intensity variation curve at any one distance are equal
Greater than given threshold, then antenna technological problems are identified as；
And/or
If measured signal intensity variation curve and standard signal Strength Changes are bent at any one distance before specific range
The strength difference of line is no more than given threshold, at any one distance after the specific range, the strength difference of the two
Greater than given threshold, then antenna occlusion problem is identified as；
And/or
If the strength difference of measured signal intensity variation curve and standard signal intensity variation curve, which is greater than, to be set in specified distance
Determine threshold value, and at any one other distance except specific range, the strength difference of the two is no more than given threshold, then
Identification height wears damage building problem；
And/or
If the coverage coefficient of crossing of cell is greater than threshold value, it was identified as covering problem；
Wherein, the distance is the distance between the base station of signal of user terminal and the reception user terminal, described specific
Distance is any one in multiple distances.
9. the method according to claim 1, wherein the method also includes: according to the shadow of signal covering problem
The degree of sound carries out clustering to signal covering problem, and is generated according to cluster result and answer prioritization scheme with output phase.
10. according to the method described in claim 9, it is characterized in that, the influence degree according to signal covering problem, to letter
Number covering problem carries out clustering, comprising:
According to the size for the range that signal covering problem is influenced, the signal covering problem is divided into following three kinds of classifications
It is at least one: to concentrate the weak covering of weak covering, part, fragmentary weak covering on a large scale.
11. a kind of identification device of wireless network covering problem, which is characterized in that described device includes: locating module, the first letter
Number curve acquisition module, second signal curve acquisition module, reason identification module；
The locating module positions user terminal for transmitting situation according to the signal between user terminal and base station；
First signal curve obtains module and is obtained for constructing wireless network signal propagation model by the propagation model
Standard signal intensity variation curve；
The second signal curve acquisition module, it is received for obtaining user terminal base station in different location under different scenes
Signal strength, the variable condition according to the signal strength with terminal at a distance from base station form measured signal intensity variation curve；
The reason identification module carries out the measured signal intensity variation curve and the standard signal intensity variation curve
Comparison, according to comparing result, identifies to the reason of leading to signal covering problem.
12. a kind of computer equipment characterized by comprising at least one processor, at least one processor and be stored in
Computer program instructions in the memory realize such as right when the computer program instructions are executed by the processor
It is required that method described in any one of 1-10.
13. a kind of computer readable storage medium, is stored thereon with computer program instructions, which is characterized in that when the calculating
Such as method of any of claims 1-10 is realized when machine program instruction is executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711494737.3A CN110012418A (en) | 2017-12-31 | 2017-12-31 | Recognition methods, device, equipment and the medium of wireless network covering problem |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711494737.3A CN110012418A (en) | 2017-12-31 | 2017-12-31 | Recognition methods, device, equipment and the medium of wireless network covering problem |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110012418A true CN110012418A (en) | 2019-07-12 |
Family
ID=67164132
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711494737.3A Pending CN110012418A (en) | 2017-12-31 | 2017-12-31 | Recognition methods, device, equipment and the medium of wireless network covering problem |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110012418A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110430596A (en) * | 2019-08-06 | 2019-11-08 | 中国联合网络通信集团有限公司 | Method for evaluating quality, device and the readable storage medium storing program for executing of wireless signal overlay area |
| CN111782758A (en) * | 2020-06-18 | 2020-10-16 | 万翼科技有限公司 | Drawing review result viewing method based on CAD and related device |
| CN112738838A (en) * | 2020-12-25 | 2021-04-30 | 中国联合网络通信集团有限公司 | Method and device for determining propagation model |
| CN113068217A (en) * | 2021-03-16 | 2021-07-02 | 广东电网有限责任公司广州供电局 | Base station state monitoring method based on electric power wireless communication module and related device |
| CN113965834A (en) * | 2020-07-20 | 2022-01-21 | 中国移动通信集团安徽有限公司 | Problem detection method and device for optical distribution network |
| CN114157374A (en) * | 2020-09-08 | 2022-03-08 | 中国电信股份有限公司 | Method and device for predicting cell wireless signal strength and computer readable storage medium |
| CN115379479A (en) * | 2022-08-23 | 2022-11-22 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining cell coverage type |
| CN117793902A (en) * | 2023-12-29 | 2024-03-29 | 东莞市仁丰电子科技有限公司 | Multi-point access intelligent distribution method and system for 5G micro base station omni-directional antenna |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011066745A1 (en) * | 2009-12-04 | 2011-06-09 | 中兴通讯股份有限公司 | Method and device for locating weak coverage areas in network |
| CN103369571A (en) * | 2013-07-26 | 2013-10-23 | 厦门大学 | Method for correction and coverage self-optimization of propagation model based on multi-network combined measurement |
| WO2015097480A1 (en) * | 2013-12-24 | 2015-07-02 | Ranplan Wireless Network Design Ltd | Method of positioning problem regions covered with indoor wireless network |
| CN105228242A (en) * | 2014-05-26 | 2016-01-06 | 中国移动通信集团公司 | The localization method of weak overlay area and device |
| CN106804042A (en) * | 2016-12-23 | 2017-06-06 | 普天信息工程设计服务有限公司 | The clustering method in weak covering problem region and Bus stop planning method |
| CN106851553A (en) * | 2016-09-30 | 2017-06-13 | 广州丰石科技有限公司 | According to the soft self adaptation fingerprint positioning method for accepting and believing order |
| CN106851570A (en) * | 2017-01-19 | 2017-06-13 | 中国移动通信集团江苏有限公司 | Based on the method and device that MR is positioned to mobile terminal |
| CN106879017A (en) * | 2015-12-11 | 2017-06-20 | 亿阳信通股份有限公司 | A kind of decision method and device of LTE network covering quality |
| CN106899985A (en) * | 2015-12-17 | 2017-06-27 | 中国移动通信集团重庆有限公司 | The appraisal procedure and device of a kind of network coverage |
| CN107277852A (en) * | 2017-06-26 | 2017-10-20 | 西安汇龙科技股份有限公司 | The problem of based on measurement report independent positioning method and system |
-
2017
- 2017-12-31 CN CN201711494737.3A patent/CN110012418A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2011066745A1 (en) * | 2009-12-04 | 2011-06-09 | 中兴通讯股份有限公司 | Method and device for locating weak coverage areas in network |
| CN103369571A (en) * | 2013-07-26 | 2013-10-23 | 厦门大学 | Method for correction and coverage self-optimization of propagation model based on multi-network combined measurement |
| WO2015097480A1 (en) * | 2013-12-24 | 2015-07-02 | Ranplan Wireless Network Design Ltd | Method of positioning problem regions covered with indoor wireless network |
| CN105228242A (en) * | 2014-05-26 | 2016-01-06 | 中国移动通信集团公司 | The localization method of weak overlay area and device |
| CN106879017A (en) * | 2015-12-11 | 2017-06-20 | 亿阳信通股份有限公司 | A kind of decision method and device of LTE network covering quality |
| CN106899985A (en) * | 2015-12-17 | 2017-06-27 | 中国移动通信集团重庆有限公司 | The appraisal procedure and device of a kind of network coverage |
| CN106851553A (en) * | 2016-09-30 | 2017-06-13 | 广州丰石科技有限公司 | According to the soft self adaptation fingerprint positioning method for accepting and believing order |
| CN106804042A (en) * | 2016-12-23 | 2017-06-06 | 普天信息工程设计服务有限公司 | The clustering method in weak covering problem region and Bus stop planning method |
| CN106851570A (en) * | 2017-01-19 | 2017-06-13 | 中国移动通信集团江苏有限公司 | Based on the method and device that MR is positioned to mobile terminal |
| CN107277852A (en) * | 2017-06-26 | 2017-10-20 | 西安汇龙科技股份有限公司 | The problem of based on measurement report independent positioning method and system |
Non-Patent Citations (3)
| Title |
|---|
| 姜备: ""基于LTE MR的移动网络优化研究"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 徐桦: ""一种基于LTE-MR劣化场景模式识别的自动优化方法"", 《电信工程技术与标准化》 * |
| 陈西强: ""基于移动MR数据的基站天线方位研究及其在网络优化中的应用"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110430596A (en) * | 2019-08-06 | 2019-11-08 | 中国联合网络通信集团有限公司 | Method for evaluating quality, device and the readable storage medium storing program for executing of wireless signal overlay area |
| CN111782758A (en) * | 2020-06-18 | 2020-10-16 | 万翼科技有限公司 | Drawing review result viewing method based on CAD and related device |
| CN111782758B (en) * | 2020-06-18 | 2024-02-09 | 深圳市万翼数字技术有限公司 | CAD-based drawing examination result viewing method and related device |
| CN113965834A (en) * | 2020-07-20 | 2022-01-21 | 中国移动通信集团安徽有限公司 | Problem detection method and device for optical distribution network |
| CN113965834B (en) * | 2020-07-20 | 2023-09-19 | 中国移动通信集团安徽有限公司 | Method and device for detecting problems of optical distribution network |
| CN114157374A (en) * | 2020-09-08 | 2022-03-08 | 中国电信股份有限公司 | Method and device for predicting cell wireless signal strength and computer readable storage medium |
| CN112738838A (en) * | 2020-12-25 | 2021-04-30 | 中国联合网络通信集团有限公司 | Method and device for determining propagation model |
| CN113068217A (en) * | 2021-03-16 | 2021-07-02 | 广东电网有限责任公司广州供电局 | Base station state monitoring method based on electric power wireless communication module and related device |
| CN113068217B (en) * | 2021-03-16 | 2022-08-02 | 广东电网有限责任公司广州供电局 | Base station state monitoring method based on electric power wireless communication module and related device |
| CN115379479A (en) * | 2022-08-23 | 2022-11-22 | 中国联合网络通信集团有限公司 | Method, device, equipment and storage medium for determining cell coverage type |
| CN115379479B (en) * | 2022-08-23 | 2024-04-19 | 中国联合网络通信集团有限公司 | Cell coverage type determining method, device, equipment and storage medium |
| CN117793902A (en) * | 2023-12-29 | 2024-03-29 | 东莞市仁丰电子科技有限公司 | Multi-point access intelligent distribution method and system for 5G micro base station omni-directional antenna |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110012418A (en) | Recognition methods, device, equipment and the medium of wireless network covering problem | |
| CN109963287B (en) | Antenna direction angle optimization method, device, equipment and medium | |
| CN109495899B (en) | Antenna parameter optimization method and device, electronic equipment and storage medium | |
| CN103197280B (en) | Access point (AP) location estimation method based on radio-frequency signal strength | |
| US7035632B2 (en) | Path loss data normalization for growth management of a cellular system | |
| US11800373B2 (en) | System and method for 3D propagation modelling for planning of a radio network | |
| CN105430664B (en) | It is a kind of to be fitted the method and apparatus that path loss is propagated in prediction based on classification | |
| CN109996279B (en) | Over-coverage cell positioning method, device, equipment and medium | |
| CN110602741A (en) | Network weak coverage identification method, device, equipment and storage medium | |
| CN110087189A (en) | A kind of unmanned plane base station deployment method for determining position and device | |
| CN112203293B (en) | Cell over-coverage identification method, device, equipment and computer storage medium | |
| CN101790189A (en) | Method for positioning mobile station | |
| CN110351660B (en) | Bluetooth indoor positioning method based on double-step fingerprint matching architecture | |
| CN106793087A (en) | A kind of array antenna indoor positioning algorithms based on AOA and PDOA | |
| JP7405985B2 (en) | Continuous signal coverage methods, devices, equipment and antenna systems of target areas | |
| CN104754593A (en) | Antenna direction angle adjustment method, device and system | |
| CN114520997A (en) | Method, device, equipment and storage medium for positioning 5G network interference source | |
| TW202023217A (en) | A method and system of measuring radio wave distribution of a radio signal source and estimating corresponding radio characteristics by using a flying vehicle | |
| CN110475253B (en) | Method, device, equipment and medium for optimizing coverage area of base station | |
| CN108924731B (en) | Method and device for positioning signal leakage antenna node | |
| Muttair et al. | Optimal transmitter location using multi-scale algorithm based on real measurement for outdoor communication | |
| WO2017020273A1 (en) | Method and device for positioning and method of generating a positioning database in multicarrier network | |
| CN111372275A (en) | Method, device and equipment for positioning interference source | |
| CN110234163B (en) | Method, device, equipment and medium for positioning user terminal | |
| CN111263382B (en) | Method, device and equipment for determining problem source cell causing overlapping coverage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190712 |