CN108540299A - A kind of network failure location processing method and device - Google Patents
A kind of network failure location processing method and device Download PDFInfo
- Publication number
- CN108540299A CN108540299A CN201710121530.5A CN201710121530A CN108540299A CN 108540299 A CN108540299 A CN 108540299A CN 201710121530 A CN201710121530 A CN 201710121530A CN 108540299 A CN108540299 A CN 108540299A
- Authority
- CN
- China
- Prior art keywords
- report values
- rsrp
- rsrq
- values
- cell
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
A kind of network failure location processing method of offer of the embodiment of the present invention and device.The method includes:According to the MR data of cell to be detected within a preset period of time, multiple RSRP report values and multiple PSRQ report values are obtained;Target RSRQ report values are obtained according to the RSRQ report values;According to the number of the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions as corresponding first quantity of each RSRP report values, and the numbers of the corresponding PSRQ report values of each RSRP report values is obtained as corresponding second quantity of each RSRP report values;The RSRQ relative coefficients of the cell to be detected are calculated according to each corresponding first quantity of RSRP report values and second quantity;Judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.Described device is for executing the above method.Method and device provided by the invention improves the efficiency of network failure positioning.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to a kind of network failure location processing methods and device.
Background technology
The base stations China Mobile TD-LTE number in 2015 more than 1,000,000, with to carrying out magnanimity base station maintenance management,
It improves network quality increasingly higher demands, it is particularly critical to the work of TD-LTE network failures especially hidden failure positioning.
Currently, TD-LTE network qualities problem mainly passes through peripheral component interconnection (Peripheral Component
Interconnect, PCI) optimization, coverage optimization and external disturbance investigation reduce the means such as uplink low noise and optimize, and it is existing
Base station maintenance platform is handled mainly for dominant alarm failure, and the quality problems generated for hidden failure are not effective
Location processing method, and due to network device itself problem cause network quality problem can only by PCI interference eliminations, covering
Problem excludes, external disturbance exclude and etc. it is rear or attempt where just can determine that problem after more exchange device, need to expend a large amount of people
Power material resources, fault location treatment effeciency is low, the long influence client's use feeling of process cycle, leads to that rising etc. is complained to ask
Topic.
Therefore, how a kind of fault location processing method is provided improves the efficiency of LTE network equipment hidden failure positioning and ask
Topic be current industry it is urgently to be resolved hurrily need project.
Invention content
For the defects in the prior art, a kind of network failure location processing method of offer of the embodiment of the present invention and device.
On the one hand, the embodiment of the present invention provides a kind of network failure location processing method, including:
According to the MR data of cell to be detected within a preset period of time, multiple RSRP report values and multiple PSRQ reports are obtained
Value;
Target RSRQ report values are obtained according to the RSRQ report values;
According to the number of the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions as each
Corresponding first quantity of a RSRP report values, and obtain the number of the corresponding PSRQ report values of each RSRP report values
As corresponding second quantity of each RSRP report values;
It is calculated according to each corresponding first quantity of RSRP report values and second quantity described to be detected
The RSRQ relative coefficients of cell;
Judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
On the other hand, the embodiment of the present invention provides a kind of network failure positioning treatment apparatus, including:
First acquisition unit obtains multiple RSRP reports for the MR data according to cell to be detected within a preset period of time
Announcement value and multiple PSRQ report values;
Second acquisition unit, for obtaining target RSRQ report values according to the RSRQ report values;
Third acquiring unit, for being reported according to the corresponding target PSRQ of each RSRP report values of the MR data acquisitions
The number of announcement value is as corresponding first quantity of each RSRP report values, and it is corresponding to obtain each RSRP report values
The number of PSRQ report values is as corresponding second quantity of each RSRP report values;
Computing unit, based on according to each corresponding first quantity of RSRP report values and second quantity
Calculate the RSRQ relative coefficients of the cell to be detected;
Judging unit, for judging whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
Network failure location processing method and device provided in an embodiment of the present invention, by being preset according to cell to be detected
The multiple RSRP report values and multiple PSRQ report values of MR data acquisitions in period obtain target RSRQ report values, each
First quantity of the corresponding target PSRQ report values of the RSRP report values, the corresponding PSRQ reports of each RSRP report values
Second quantity of value, and institute is calculated according to each corresponding first quantity of RSRP report values and second quantity
State the RSRQ relative coefficients of cell to be detected;Judge whether the cell to be detected is event according to the RSRQ relative coefficients
Hinder cell, improves the efficiency of network failure positioning.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Some bright embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram of network failure location processing method provided in an embodiment of the present invention;
Fig. 2 is corresponding first quantity of each RSRP report values and the second number of fault cells provided in an embodiment of the present invention
Measure distribution map;
Fig. 3 is corresponding first quantity in fault cells provided in an embodiment of the present invention and the second size dependence scatter plot;
Fig. 4 is corresponding first quantity of each RSRP report values and second of non-faulting cell provided in an embodiment of the present invention
Distributed number figure;
Fig. 5 is corresponding first quantity of non-faulting cell provided in an embodiment of the present invention and the second size dependence scatterplot
Figure;
Fig. 6 is the overall flow schematic diagram of network failure location processing method provided in an embodiment of the present invention;
Fig. 7 is the structural schematic diagram of network failure positioning treatment apparatus provided in an embodiment of the present invention;
Fig. 8 is electronic equipment entity apparatus structural schematic diagram provided in an embodiment of the present invention.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
The every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is the flow diagram of network failure location processing method provided in an embodiment of the present invention, as shown in Figure 1, this
Embodiment provides a kind of network failure location processing method, including:
S101, the MR data according to cell to be detected within a preset period of time obtain multiple RSRP report values and multiple
PSRQ report values;
Specifically, network failure positioning treatment apparatus obtains the (Measurement of cell to be detected within a preset period of time
Report, MR) data, physical layer of the MR data essentially from UE and eNodeB, radio link layer control protocol (Radio
Link Control, RLC) layer and the measurement report of generation is calculated during wireless resource management, raw measurement data or
Person is calculated by statistics and is stored in the form of statistical data, and the network failure positioning treatment apparatus is from the MR got
Data extract multiple Reference Signal Received Power report values (Reference Signal Receiving Power, RSRP) and more
A Reference Signal Received Quality report value (Reference Signal Receiving Quality, RSRQ), wherein each
The RSRP report values correspond to multiple PSRQ report values.It is understood that RSRP report values, which are one, indicates that reception signal is strong
The absolute value of degree can reflect distance of the mobile station apart from base station to a certain extent, therefore can be used for measuring cell coverage area
Size;PSRQ report values are the intensity instructions of the reference signal received, can have different connect in the same cell coverage area
The intensity of reference signal is received, therefore, each described RSRP report value corresponds to multiple PSRQ report values.It should be noted that by
Reaching certain amount in sample objective could react the authenticity to go wrong, otherwise it is assumed that data do not have reference value, so
The number for defining the RSRP report values and PSRQ report values should be greater than 1000, and with this condition, the preset time period can be with
It is configured according to actual conditions, is not specifically limited herein.
S102, target RSRQ report values are obtained according to the RSRQ report values;
Specifically, described device reports the RSRQ for meeting preset condition according to the RSRQ report values got
Announcement value is determined as target RSRQ report values;Wherein, each described RSRP report value can correspond to multiple target PSRQ report values.
If the preset condition could be provided as judging to know that the RSRQ report values are not more than the first predetermined threshold value, it is determined that described
RSRQ report values are target RSRQ report values, can also obtain the target RSRQ report values according to other preset conditions, herein
It is not specifically limited.It should be noted that since PSRQ report values are the intensity instruction of the reference signal received, the target
RSRQ report values can be the weaker PSRQ report values of the intensity for the reference signal that instruction receives.
S103, made according to the number of the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions
For corresponding first quantity of each RSRP report values, and obtain the corresponding PSRQ report values of each RSRP report values
Number is as corresponding second quantity of each RSRP report values;
Specifically, described device according to the MR data acquisitions the corresponding target PSRQ reports of each described RSRP report value
The number of announcement value obtains each described RSRP report value and corresponds to as corresponding first quantity of each RSRP report values
PSRQ report values number as each second quantity of RSRP report values.
S104, it is waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;
Specifically, described device is according to each corresponding first quantity of RSRP report values and second quantity
The RSRQ relative coefficients of the cell to be detected are calculated, the relative coefficient indicates that first quantity is counted with described second
The correlation of amount, when 0<The relative coefficient<When 1, indicates first quantity and the second quantity positive correlation, work as r=1
When, indicate that first quantity and second quantity are perfect positive correlation;When -1<r<When 0, first quantity and institute are indicated
It is negative correlation to state the second quantity, as r=-1, indicates that first quantity and second quantity are perfect negative correlation, works as r=
When 0, indicate between first quantity and second quantity without linear relationship.
S105, judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
Specifically, described device judges whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area.For example, Fig. 2 is corresponding first quantity of each RSRP report values and the second number of fault cells provided in an embodiment of the present invention
Measure distribution map, Fig. 3 be corresponding first quantity in fault cells provided in an embodiment of the present invention and the second size dependence scatter plot,
According to fig. 2 with shown in Fig. 3, the target RSRQ report values of fault cells are distributed in the entire sections RSRP, strong and weak unapparent with RSRP
Variation;I.e. target RSRQ report values all exist all the time, and the RSRQ relative coefficients are closer to 1 at this time, therefore can be with
When the RSRQ relative coefficients are greater than or equal to 0.95, the cell to be detected is determined as fault cells.For another example, Fig. 4
For corresponding first quantity of each RSRP report values of non-faulting cell provided in an embodiment of the present invention and the second distributed number figure,
Fig. 5 is corresponding first quantity of non-faulting cell provided in an embodiment of the present invention and the second size dependence scatter plot, according to Fig. 4
It is apparent in the strong sections RSRP since the target RSRQ report values of non-faulting cell are distributed mainly on the weak sections RSRP shown in Fig. 5
It reduces, described i.e. " signal is weaker, and quality is poorer;Signal is stronger, and quality is better ", the RSRQ relative coefficients are got over 1 difference
Greatly, therefore, the cell to be detected can be determined as non-faulting cell when the RSRQ relative coefficients are less than 0.95.
Network failure location processing method provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
On the basis of the above embodiments, further, described that target RSRQ reports are obtained according to the RSRQ report values
Value, including:
If judgement knows that the RSRQ report values are not more than the first predetermined threshold value, it is determined that the RSRQ report values are target
RSRQ report values.
Specifically, if described device knows the RSRQ report values according to the multiple RSRQ report values judgement got
No more than the first predetermined threshold value, it is determined that the RSRQ report values are target RSRQ report values.It is understood that described first
Predetermined threshold value could be provided as 12, and specific reason is as follows:
Definition of the RSRQ report values in 3GPP agreements is N × RSRP/RSSI, wherein N is RB in UE measuring system bandwidths
Number, RSSI (Received Signal Strength Indicator) refer on antenna port port0 comprising with reference to letter
Number OFDM symbol on power linear averaging.RS-CINR(Carrier to Interference plus Noise
Ration) refer to the dry ratio of making an uproar of carrier wave that UE is measured on RS channels, be one of the key index for indicating channel quality.
Due to:
Two formulas are divided by:
So as to obtain:
Consider that ideally in overlapping region, the interference of this cell is equal with neighboring area signal intensity, in edge user
Assigned RB resources are few, and occupied bandwidth is little, do not consider that bottom is made an uproar, can calculate:
ThenTo obtainThat is -13.8dB.
3GPP agreement prescribed terminals report the range [- 140dBm, -44dBm] of RSRP measured values, with itself and RSRP report values
Correspondence it is as shown in table 1,3GPP agreement prescribed terminals report the range [- 19.5dB, -3dB] of RSRQ measured values, RSRQ
The correspondence of report value is as shown in table 2, according to Tables 1 and 2 it is found that RSRQ=12 report values correspond to section is:-14dB≤
RSRQ measured values<-13.8dB;Due to the RSRQ measured values in network plan simulation>- 13.8dB and RS-CINR>The statistics of 0dB
Ratio is almost the same, with RS-CINR>For 0dB as reference signal quality critical point is received, then it is to refer to define report value≤12 RSRQ
Show the weaker PSRQ report values of the intensity of the reference signal of reception, that is, the target RSRQ report values.
Table 1
Report value | Measured value | Unit |
RSRP-00 | RSRP < -140 | dBm |
RSRP-01 | - 140≤RSRP < -139 | dBm |
RSRP-02 | - 139≤RSRP < -138 | dBm |
… | … | … |
RSRP-95 | - 46≤RSRP < -45 | dBm |
RSRP-96 | - 45≤RSRP < -44 | dBm |
RSRP-97 | -44≤RSRP | dBm |
Table 2
On the basis of the above embodiments, further, described to be reported according to each RSRP of the MR data acquisitions
It is worth the number of corresponding target PSRQ report values as the first quantity, and obtains the corresponding PSRQ reports of each RSRP report values
The number of announcement value as the second quantity, including:
According to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions, count each described
The number of the corresponding target PSRQ report values of RSRP report values is as the first quantity;
According to the corresponding PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP is counted
The number of the corresponding PSRQ report values of report value is as the second quantity.
Specifically, described device is according to the corresponding target of each RSRP report values of the MR data acquisitions got
PSRQ report values, the number for counting the corresponding target PSRQ report values of each RSRP report values are reported as each RSRP
Corresponding first quantity of announcement value;And it obtains the corresponding PSRQ of each RSRP report values according to the MR numbers got to report
Announcement value, the number for counting the corresponding PSRQ report values of each RSRP report values are corresponding as each RSRP report values
Second quantity.
On the basis of the above embodiments, further, described according to each RSRP report values corresponding described
One quantity and second quantity calculate the RSRQ relative coefficients of the cell to be detected, including:
According to formula:
Calculate the RSRQ relative coefficients of the cell to be detected;Wherein, r is the RSRQ correlations of the cell to be detected
Coefficient, xiFor corresponding first quantity of i-th of RSRP report value, yiThe second number is corresponded to for i-th of RSRP report value
Amount, 1≤n≤│ RSRP report valuesmax- RSRP report valuesmin│, and n is positive integer.
Specifically, described device is according to formula:
Calculate the RSRQ relative coefficients of the cell to be detected, that is, the corresponding target of each RSRP report values
Correlation system between the quantity of the quantity of RSRQ report values whole RSRQ report values corresponding with each RSRP report values
Number;Wherein, r is the RSRQ relative coefficients of the cell to be detected, xiIt is counted for i-th of RSRP report value corresponding first
Amount, yiThe second quantity, 1≤n≤│ RSRP report values are corresponded to for i-th of RSRP report valuemax- RSRP report valuesmin│, and n
For positive integer.It should be noted that the RSRP report valuesmaxThe RSRP reports for including for MR data in the preset time period
The maximum value of announcement value, the RSRP report valuesminFor the minimum for the RSRP report values that MR data in the preset time period include
Value, for example, RSRP report valuesmax=-80dBm, RSRP report valuemin=-140dBm, then │ RSRP report valuesmax- RSRP is reported
Valuemin│=60, then 1≤n≤60, n=(1,2,3 ... 58,59,60), as RSRP report values=- 140dBm, i=1, at this time
Corresponding first quantity of RSRP report values=- 140dBm and the second quantity, as first RSRP report value corresponding
One quantity and the second quantity, rule pushes away successively backward, and details are not described herein again.
Network failure location processing method provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
In the above embodiments, described to judge whether the cell to be detected is event according to the RSRQ relative coefficients
Hinder cell, including:
If judgement knows that the RSRQ relative coefficients are more than the second predetermined threshold value, judge the cell to be detected for event
Hinder cell;Otherwise, it is determined that the cell to be detected is non-faulting cell.
Specifically, described device is according to the RSRQ relative coefficients obtained are calculated, if judging to know the RSRQ phases
It closes property coefficient and is more than the second predetermined threshold value, then judge that the cell to be detected is fault cells;Otherwise, it is determined that described to be detected small
Area is non-faulting cell.It is understood that the numerical value of the RSRQ relative coefficients is bigger (closer to 1), then illustrate target
RSRQ report values are distributed in the entire sections RSRP, do not have significant change with RSRP powers, meet the feature of fault cells, therefore root
According to empirical value, thinks high correlation when defining the RSRQ relative coefficients more than 95%, then judge that the cell to be detected is
Fault cells, certainly, second predetermined threshold value may be set to be other numerical value, be not specifically limited herein.
Network failure location processing method provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
Fig. 6 is the overall flow schematic diagram of network failure location processing method provided in an embodiment of the present invention, such as Fig. 6 institutes
Show, network failure location processing method detailed process provided in an embodiment of the present invention is as follows:
S1, multiple RSRP report values and multiple PSRQ report values are obtained;Network failure positioning treatment apparatus obtains to be detected
The MR data of cell within a preset period of time extract multiple RSRP report values and PSRQ reports from the MR data got
Value;Then step S2 is executed;
Whether S2, PSRQ report value are more than the first predetermined threshold value;Described device is according to the RSRQ report values got
The magnitude relationship of the RSRQ report values and first predetermined threshold value is judged, if the RSRQ report values are more than the first default threshold
Value, thens follow the steps S3, otherwise, executes step S4;
S3, it is determined as non-targeted RSRQ report values;
S4, it is determined as target RSRQ report values;Then step S5 is executed;
S5, corresponding first quantity of each RSRP report values is obtained;Described device is according to the MR numbers got
According to the corresponding target PSRQ report values of each RSRP report values are obtained, the corresponding target of each RSRP report values is counted
The number of PSRQ report values is as the first quantity;Then step S6 is executed;
S6, corresponding second quantity of each RSRP report values is obtained;Described device is according to the MR numbers got
The corresponding PSRQ report values of each RSRP report values are obtained, the corresponding PSRQ report values of each RSRP report values are counted
Number as the second quantity;Then step S7 is executed;
S7, the RSRQ relative coefficients for calculating the cell to be detected;According to formula:Meter
Calculate the RSRQ relative coefficients of the cell to be detected;Wherein, r is the RSRQ relative coefficients of the cell to be detected, xiFor
Corresponding first quantity of i-th of RSRP report value, yiThe second quantity, 1≤n≤│ are corresponded to for i-th of RSRP report value
RSRP report valuesmax- RSRP report valuesmin│, and n is positive integer;Then step S8 is executed;
Whether S8, RSRQ relative coefficient are more than the second predetermined threshold value;According to the RSRQ correlations system for calculating acquisition
Number, judges the magnitude relationship of the RSRQ relative coefficients and second predetermined threshold value, if the RSRQ relative coefficients are big
In the second predetermined threshold value, S9 is thened follow the steps;Otherwise, S10 is thened follow the steps;
S9, judgement cell to be detected are fault cells;
S10, judgement cell to be detected are non-faulting cell.
Fig. 7 is the structural schematic diagram of network failure positioning treatment apparatus provided in an embodiment of the present invention, as shown in fig. 7, this
Inventive embodiments provide a kind of network failure positioning treatment apparatus, including:First acquisition unit 701, second acquisition unit 702,
Third acquiring unit 703, computing unit 704 and judging unit 705, wherein:
First acquisition unit 701 obtains multiple RSRP for the MR data according to cell to be detected within a preset period of time
Report value and multiple PSRQ report values;Second acquisition unit 702 is used to obtain target RSRQ reports according to the RSRQ report values
Value;Third acquiring unit 703 is used to be reported according to the corresponding target PSRQ of each RSRP report values of the MR data acquisitions
The number of value is as corresponding first quantity of each RSRP report values, and it is corresponding to obtain each RSRP report values
The number of PSRQ report values is as corresponding second quantity of each RSRP report values;Computing unit 704 is used for according to each
Corresponding first quantity of RSRP report values and second quantity calculate the RSRQ correlations of the cell to be detected
Coefficient;Judging unit 705 is used to judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
Specifically, first acquisition unit 701 obtains the MR data of cell to be detected within a preset period of time, and from getting
The MR data extract multiple RSRP report values and RSRQ report values, wherein each described RSRP report value corresponds to multiple
PSRQ report values.The RSRQ report values that second acquisition unit 702 is got according to first acquisition unit 701, will meet pre-
If the RSRQ report values of condition are determined as target RSRQ report values, each described RSRP report value equally corresponds to multiple mesh
Mark PSRQ report values;If the preset condition could be provided as judging to know that the RSRQ report values are not more than the first default threshold
Value, it is determined that the RSRQ report values are target RSRQ report values, can also obtain the target according to other preset conditions
RSRQ report values, are not specifically limited herein.Third acquiring unit 703 is reported according to each RSRP of the MR data acquisitions
It is worth the numbers of corresponding target PSRQ report values as corresponding first quantity of each RSRP report values, and obtains each institute
The numbers of the corresponding PSRQ report values of RSRP report values is stated as corresponding second quantity of each RSRP report values.It calculates single
Member 704 calculates the cell to be detected according to each corresponding first quantity of RSRP report values and second quantity
RSRQ relative coefficients, the relative coefficient indicates the correlation of first quantity and second quantity, when 0<Institute
State relative coefficient<When 1, first quantity and the second quantity positive correlation are indicated, as r=1, indicate first number
Amount is perfect positive correlation with second quantity;When -1<r<When 0, indicate that first quantity and second quantity are negative
It closes, as r=-1, indicates that first quantity and second quantity are perfect negative correlation, as r=0, indicate described first
Without linear relationship between quantity and second quantity.Judging unit 705 is according to described in RSRQ relative coefficients judgement
Whether cell to be detected is fault cells.Since the target RSRQ report values of non-faulting cell are distributed mainly on the weak sections RSRP,
It is significantly reduced in the strong sections RSRP, described i.e. " signal is weaker, and quality is poorer;Signal is stronger, and quality is better ", the RSRQ is related
Property coefficient is closer to 1;The target RSRQ report values of fault cells are distributed in the entire sections RSRP, not with the strong and weak apparent changes of RSRP
Change;I.e. target RSRQ report values all exist all the time, and the RSRQ relative coefficients and 1 difference are bigger.
It should be noted that RSRP report values are the absolute values of an expression received signal strength, it to a certain extent can be anti-
Distance of the mobile station apart from base station is reflected, therefore can be used for measuring cell coverage area size;PSRQ report values are the ginsengs received
The intensity instruction of signal is examined, there can be the intensity of different reception reference signals in the same cell coverage area, it is therefore, each
A RSRP report values correspond to multiple PSRQ report values, and the target PSRQ report values are the PSRQ reports for meeting preset condition
Value, then each described RSRP report value can equally correspond to multiple target PSRQ report values.It is understood that the MR numbers
According to essentially from UE and eNodeB physical layer, radio link layer control protocol (Radio Link Control, RLC) layer and
The measurement report of generation is calculated during wireless resource management, raw measurement data or process statistics are calculated with statistical data
Form is stored;Objective the authenticity to go wrong could be reacted since sample reaches certain amount, otherwise it is assumed that data do not have
Standby reference value, so the number for defining the RSRP report values and PSRQ report values should be greater than 1000, it is with this condition, described
Preset time period can be configured according to actual conditions, be not specifically limited herein.
Network failure positioning treatment apparatus provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
On the basis of the above embodiments, further, second acquisition unit 702 is specifically used for:
If judgement knows that the RSRQ report values are not more than the first predetermined threshold value, it is determined that the RSRQ report values are target
RSRQ report values.
Specifically, if second acquisition unit 702 known according to the multiple RSRQ report values judgement got it is described
RSRQ report values are not more than the first predetermined threshold value, it is determined that the RSRQ report values are target RSRQ report values.It is appreciated that
It is that first predetermined threshold value could be provided as 12, and specific reason is as follows:
Definition of the RSRQ report values in 3GPP agreements is N × RSRP/RSSI, wherein N is RB in UE measuring system bandwidths
Number, RSSI (Received Signal Strength Indicator) refer on antenna port port0 comprising with reference to letter
Number OFDM symbol on power linear averaging.RS-CINR(Carrier to Interference plus Noise
Ration) refer to the dry ratio of making an uproar of carrier wave that UE is measured on RS channels, be one of the key index for indicating channel quality.
Due to:
Two formulas are divided by:
So as to obtain:
Consider that ideally in overlapping region, the interference of this cell is equal with neighboring area signal intensity, in edge user
Assigned RB resources are few, and occupied bandwidth is little, do not consider that bottom is made an uproar, can calculate:ThenTo obtainThat is -13.8dB.
3GPP agreement prescribed terminals report the range [- 140dBm, -44dBm] of RSRP measured values, with itself and RSRP report values
Correspondence it is as shown in table 1,3GPP agreement prescribed terminals report the range [- 19.5dB, -3dB] of RSRQ measured values, RSRQ
The correspondence of report value is as shown in table 2, according to Tables 1 and 2 it is found that RSRQ=12 report values correspond to section is:-14dB≤
RSRQ measured values<-13.8dB;Due to the RSRQ measured values in network plan simulation>- 13.8dB and RS-CINR>The statistics of 0dB
Ratio is almost the same, with RS-CINR>For 0dB as reference signal quality critical point is received, then it is to refer to define report value≤12 RSRQ
Show the weaker PSRQ report values of the intensity of the reference signal of reception, that is, the target RSRQ report values.
On the basis of the above embodiments, further, third acquiring unit 703 is specifically used for:
According to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions, count each described
The number of the corresponding target PSRQ report values of RSRP report values is as corresponding first quantity of each RSRP report values;
According to the corresponding PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP is counted
The number of the corresponding PSRQ report values of report value is as corresponding second quantity of each RSRP report values.
Specifically, third acquiring unit 703 is according to each RSRP report values pair of the MR data acquisitions got
The target PSRQ report values answered count the number of the corresponding target PSRQ report values of each RSRP report values as each institute
State corresponding first quantity of RSRP report values;And third acquiring unit 703 obtains each institute according to the MR numbers got
The corresponding PSRQ report values of RSRP report values are stated, the number conduct of the corresponding PSRQ report values of each RSRP report values is counted
Corresponding second quantity of each RSRP report values.
On the basis of the above embodiments, further, computing unit 704 is specifically used for:
According to formula:
Calculate the RSRQ relative coefficients of the cell to be detected;Wherein, r is the RSRQ correlations of the cell to be detected
Coefficient, xiFor corresponding first quantity of i-th of RSRP report value, yiThe second number is corresponded to for i-th of RSRP report value
Amount, 1≤n≤│ RSRP report valuesmax- RSRP report valuesmin│, and n is positive integer.
Specifically, computing unit 704 is according to formula:
Calculate the RSRQ relative coefficients of the cell to be detected, that is, the corresponding target of each RSRP report values
Correlation system between the quantity of the quantity of RSRQ report values whole RSRQ report values corresponding with each RSRP report values
Number;Wherein, r is the RSRQ relative coefficients of the cell to be detected, xiIt is counted for i-th of RSRP report value corresponding first
Amount, yiThe second quantity, 1≤n≤│ RSRP report values are corresponded to for i-th of RSRP report valuemax- RSRP report valuesmin│, and n
For positive integer.It should be noted that the RSRP report valuesmaxThe RSRP reports for including for MR data in the preset time period
The maximum value of announcement value, the RSRP report valuesminFor the minimum for the RSRP report values that MR data in the preset time period include
Value, for example, RSRP report valuesmax=-80dBm, RSRP report valuemin=-140dBm, then │ RSRP report valuesmax- RSRP is reported
Valuemin│=60, then 1≤n≤60, n=(1,2,3 ... 58,59,60), as RSRP report values=- 140dBm, i=1, at this time
Corresponding first quantity of RSRP report values=- 140dBm and the second quantity, as first RSRP report value corresponding
One quantity and the second quantity, rule pushes away successively backward, and details are not described herein again.
Network failure positioning treatment apparatus provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
In the above embodiments, judging unit 705 is specifically used for:
If judgement knows that the RSRQ relative coefficients are more than the second predetermined threshold value, judge the cell to be detected for event
Hinder cell;Otherwise, it is determined that the cell to be detected is non-faulting cell.
Specifically, judging unit 705 calculates the RSRQ relative coefficients obtained according to computing unit 704, if judging
Know that the RSRQ relative coefficients are more than the second predetermined threshold value, then judges that the cell to be detected is fault cells;Otherwise, sentence
The fixed cell to be detected is non-faulting cell.It is understood that the numerical value of the RSRQ relative coefficients is bigger (closer
1), then illustrate that target RSRQ report values are distributed in the entire sections RSRP, do not have significant change with RSRP powers, meet fault cells
Feature think high correlation when defining the RSRQ relative coefficients more than 95% therefore based on experience value, then described in judgement
Cell to be detected is fault cells, and certainly, second predetermined threshold value may be set to be other numerical value, not do specific limit herein
It is fixed.
Network failure positioning treatment apparatus provided in an embodiment of the present invention, by according to cell to be detected in preset time period
The multiple RSRP report values and multiple PSRQ report values of interior MR data acquisitions obtain target RSRQ report values, each described
First quantity of the corresponding target PSRQ report values of RSRP report values, each RSRP report values corresponding PSRQ report values
Second quantity, and waited for according to described in each corresponding first quantity of RSRP report values and second quantity calculating
Detect the RSRQ relative coefficients of cell;Judge whether the cell to be detected is that failure is small according to the RSRQ relative coefficients
Area improves the efficiency of network failure positioning.
The embodiment of device provided by the invention specifically can be used for executing the process flow of above-mentioned each method embodiment,
Details are not described herein for function, is referred to the detailed description of above method embodiment.
Fig. 8 is electronic equipment entity apparatus structural schematic diagram provided in an embodiment of the present invention, as shown in figure 8, the electronics is set
It is standby to may include:Processor (processor) 801, memory (memory) 802 and bus 803, wherein processor 801 is deposited
Reservoir 802 completes mutual communication by bus 803.Processor 801 can call the logical order in memory 802, with
Execute following method:According to the MR data of cell to be detected within a preset period of time, multiple RSRP report values and multiple are obtained
PSRQ report values;Target RSRQ report values are obtained according to the RSRQ report values;It is each described according to the MR data acquisitions
The number of the corresponding target PSRQ report values of RSRP report values is obtained as corresponding first quantity of each RSRP report values
The number of the corresponding PSRQ report values of each RSRP report values is taken to be counted as each RSRP report values corresponding second
Amount;The cell to be detected is calculated according to each corresponding first quantity of RSRP report values and second quantity
RSRQ relative coefficients;Judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out the method that above-mentioned each method embodiment is provided, such as including:According to be detected small
The MR data of area within a preset period of time, obtain multiple RSRP report values and multiple PSRQ report values;It is reported according to the RSRQ
Value obtains target RSRQ report values;According to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions
Number as corresponding first quantity of each RSRP report values, and obtain the corresponding PSRQ of each RSRP report values
The number of report value is as corresponding second quantity of each RSRP report values;It is corresponding according to each RSRP report values
First quantity and second quantity calculate the RSRQ relative coefficients of the cell to be detected;According to RSRQ correlations
Property coefficient judges whether the cell to be detected is fault cells.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer instructs, and the computer instruction makes the computer execute the side that above-mentioned each method embodiment is provided
Method, such as including:According to the MR data of cell to be detected within a preset period of time, multiple RSRP report values and multiple PSRQ are obtained
Report value;Target RSRQ report values are obtained according to the RSRQ report values;According to each RSRP reports of the MR data acquisitions
The number of the corresponding target PSRQ report values of announcement value obtains each as corresponding first quantity of each RSRP report values
The number of the corresponding PSRQ report values of the RSRP report values is as corresponding second quantity of each RSRP report values;According to
Each corresponding first quantity of the RSRP report values and second quantity calculate the RSRQ phases of the cell to be detected
Close property coefficient;Judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
In addition, the logical order in above-mentioned memory 803 can be realized and be used as by the form of SFU software functional unit
Independent product sale in use, can be stored in a computer read/write memory medium.Based on this understanding, originally
Substantially the part of the part that contributes to existing technology or the technical solution can be in other words for the technical solution of invention
The form of software product embodies, which is stored in a storage medium, including some instructions to
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation of the present invention
The all or part of step of example the method.And storage medium above-mentioned includes:USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. it is various
The medium of program code can be stored.
The apparatus embodiments described above are merely exemplary, wherein the unit illustrated as separating component can
It is physically separated with being or may not be, the component shown as unit may or may not be physics list
Member, you can be located at a place, or may be distributed over multiple network units.It can be selected according to the actual needs
In some or all of module achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creativeness
Labour in the case of, you can to understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It is realized by the mode of software plus required general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be expressed in the form of software products in other words, should
Computer software product can store in a computer-readable storage medium, such as ROM/RAM, magnetic disc, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally it should be noted that:The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, it will be understood by those of ordinary skill in the art that:It still may be used
With technical scheme described in the above embodiments is modified or equivalent replacement of some of the technical features;
And these modifications or replacements, various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of network failure location processing method, which is characterized in that including:
According to the MR data of cell to be detected within a preset period of time, multiple RSRP report values and multiple PSRQ report values are obtained;
Target RSRQ report values are obtained according to the RSRQ report values;
According to the number of the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions as each institute
Corresponding first quantity of RSRP report values is stated, and obtains the number conduct of the corresponding PSRQ report values of each RSRP report values
Corresponding second quantity of each RSRP report values;
The cell to be detected is calculated according to each corresponding first quantity of RSRP report values and second quantity
RSRQ relative coefficients;
Judge whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
2. according to the method described in claim 1, it is characterized in that, described obtain target RSRQ reports according to the RSRQ report values
Announcement value, including:
If judgement knows that the RSRQ report values are not more than the first predetermined threshold value, it is determined that the RSRQ report values are target RSRQ
Report value.
3. according to the method described in claim 1, it is characterized in that, described report according to each RSRP of the MR data acquisitions
The number of the corresponding target PSRQ report values of announcement value obtains each as corresponding first quantity of each RSRP report values
The number of the corresponding PSRQ report values of the RSRP report values is as corresponding second quantity of each RSRP report values, packet
It includes:
According to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP is counted
The number of the corresponding target PSRQ report values of report value is as corresponding first quantity of each RSRP report values;
According to the corresponding PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP reports of statistics
It is worth the numbers of corresponding PSRQ report values as corresponding second quantity of each RSRP report values.
4. according to the method described in claim 1, it is characterized in that, described corresponding described according to each RSRP report values
First quantity and second quantity calculate the RSRQ relative coefficients of the cell to be detected, including:
According to formula:
Calculate the RSRQ relative coefficients of the cell to be detected;Wherein, r is the RSRQ correlations system of the cell to be detected
Number, xiFor corresponding first quantity of i-th of RSRP report value, yiThe second quantity is corresponded to for i-th of RSRP report value, 1
≤ n≤│ RSRP report valuesmax- RSRP report valuesmin│, and n is positive integer.
5. according to the method described in any of claim 1 to 4, which is characterized in that described according to the RSRQ relative coefficients
Judge whether the cell to be detected is fault cells, including:
If judgement knows that the RSRQ relative coefficients are more than the second predetermined threshold value, judge that the cell to be detected is small for failure
Area;Otherwise, it is determined that the cell to be detected is non-faulting cell.
6. a kind of network failure positioning treatment apparatus, which is characterized in that including:
First acquisition unit obtains multiple RSRP report values for the MR data according to cell to be detected within a preset period of time
With multiple PSRQ report values;
Second acquisition unit, for obtaining target RSRQ report values according to the RSRQ report values;
Third acquiring unit, for according to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions
Number as corresponding first quantity of each RSRP report values, and obtain the corresponding PSRQ of each RSRP report values
The number of report value is as corresponding second quantity of each RSRP report values;
Computing unit, for calculating institute according to each corresponding first quantity of RSRP report values and second quantity
State the RSRQ relative coefficients of cell to be detected;
Judging unit, for judging whether the cell to be detected is fault cells according to the RSRQ relative coefficients.
7. device according to claim 6, which is characterized in that the second acquisition unit is specifically used for:
If judgement knows that the RSRQ report values are not more than the first predetermined threshold value, it is determined that the RSRQ report values are target RSRQ
Report value.
8. device according to claim 6, which is characterized in that the third acquiring unit is specifically used for:
According to the corresponding target PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP is counted
The number of the corresponding target PSRQ report values of report value is as corresponding first quantity of each RSRP report values;
According to the corresponding PSRQ report values of each RSRP report values of the MR data acquisitions, each RSRP reports of statistics
It is worth the numbers of corresponding PSRQ report values as corresponding second quantity of each RSRP report values.
9. device according to claim 6, which is characterized in that the computing unit is specifically used for:
According to formula:
Calculate the RSRQ relative coefficients of the cell to be detected;Wherein, r is the RSRQ correlations system of the cell to be detected
Number, xiFor corresponding first quantity of i-th of RSRP report value, yiThe second quantity is corresponded to for i-th of RSRP report value, 1
≤ n≤│ RSRP report valuesmax- RSRP report valuesmin│, and n is positive integer.
10. according to the device described in claim 6-9 any one, which is characterized in that the judging unit is specifically used for:
If judgement knows that the RSRQ relative coefficients are more than the second predetermined threshold value, judge that the cell to be detected is small for failure
Area;Otherwise, it is determined that the cell to be detected is non-faulting cell.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710121530.5A CN108540299B (en) | 2017-03-02 | 2017-03-02 | Network fault positioning processing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710121530.5A CN108540299B (en) | 2017-03-02 | 2017-03-02 | Network fault positioning processing method and device |
Publications (2)
Publication Number | Publication Date |
---|---|
CN108540299A true CN108540299A (en) | 2018-09-14 |
CN108540299B CN108540299B (en) | 2021-07-16 |
Family
ID=63489340
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710121530.5A Active CN108540299B (en) | 2017-03-02 | 2017-03-02 | Network fault positioning processing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108540299B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109245943A (en) * | 2018-10-19 | 2019-01-18 | 北京奇艺世纪科技有限公司 | A kind of Fault Locating Method and device |
CN111263389A (en) * | 2018-11-30 | 2020-06-09 | 中国移动通信集团浙江有限公司 | Method and device for automatically positioning Volte voice quality problem |
CN111817868A (en) * | 2019-04-12 | 2020-10-23 | 中国移动通信集团河南有限公司 | Method and device for positioning network quality abnormity |
CN113784378A (en) * | 2021-09-10 | 2021-12-10 | 中国联合网络通信集团有限公司 | Method, device, server and storage medium for detecting faults of indoor cell |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102076009A (en) * | 2009-11-25 | 2011-05-25 | 中国移动通信集团广东有限公司 | Cell monitoring method and device |
CN103596205A (en) * | 2012-08-17 | 2014-02-19 | 中国移动通信集团设计院有限公司 | Method and apparatus for determining network states |
CN103874110A (en) * | 2012-12-18 | 2014-06-18 | 中国移动通信集团北京有限公司 | Method and device for positioning hidden faults of carrier frequency receiving and transmitting equipment |
-
2017
- 2017-03-02 CN CN201710121530.5A patent/CN108540299B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102076009A (en) * | 2009-11-25 | 2011-05-25 | 中国移动通信集团广东有限公司 | Cell monitoring method and device |
CN103596205A (en) * | 2012-08-17 | 2014-02-19 | 中国移动通信集团设计院有限公司 | Method and apparatus for determining network states |
CN103874110A (en) * | 2012-12-18 | 2014-06-18 | 中国移动通信集团北京有限公司 | Method and device for positioning hidden faults of carrier frequency receiving and transmitting equipment |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109245943A (en) * | 2018-10-19 | 2019-01-18 | 北京奇艺世纪科技有限公司 | A kind of Fault Locating Method and device |
CN109245943B (en) * | 2018-10-19 | 2022-02-01 | 北京奇艺世纪科技有限公司 | Fault positioning method and device |
CN111263389A (en) * | 2018-11-30 | 2020-06-09 | 中国移动通信集团浙江有限公司 | Method and device for automatically positioning Volte voice quality problem |
CN111817868A (en) * | 2019-04-12 | 2020-10-23 | 中国移动通信集团河南有限公司 | Method and device for positioning network quality abnormity |
CN111817868B (en) * | 2019-04-12 | 2023-04-18 | 中国移动通信集团河南有限公司 | Method and device for positioning network quality abnormity |
CN113784378A (en) * | 2021-09-10 | 2021-12-10 | 中国联合网络通信集团有限公司 | Method, device, server and storage medium for detecting faults of indoor cell |
CN113784378B (en) * | 2021-09-10 | 2023-06-13 | 中国联合网络通信集团有限公司 | Method, device, server and storage medium for detecting faults of indoor partition cells |
Also Published As
Publication number | Publication date |
---|---|
CN108540299B (en) | 2021-07-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104486792B (en) | RRM measuring methods and measuring system, terminal and base station | |
US11451971B2 (en) | Networking method, networking apparatus, network access method, and user equipment for coordinated multiple points transmission/reception | |
CN104168588B (en) | A kind of LTE system interference check method and device | |
CN108540299A (en) | A kind of network failure location processing method and device | |
CN108199786A (en) | Transmission power adjustment method and device | |
CN111263403B (en) | Method and device for balancing load among multi-frequency cells under LTE network | |
US20210111819A1 (en) | Method of Reporting RSSI Measurements in an Unlicensed Band and Related Apparatus | |
KR101708580B1 (en) | Device and method for configuring almost blank subframe and heterogeneous wireless communication network | |
CN111654870B (en) | Control method, device, equipment and storage medium for adjusting cell coverage area | |
CN110636540B (en) | Network uplink interference pre-evaluation method and device | |
CN105163344A (en) | Method for positioning TD-LTE intra-system interference | |
CN108632856B (en) | Processing method for determining target neighbor cell and server | |
CN111263389B (en) | Automatic positioning method and device for Volten voice quality problem | |
CN103327505B (en) | The defining method of Physical Cell Identifier and device | |
CN109981196B (en) | Network structure evaluation method and device | |
WO2017202144A1 (en) | Method and apparatus for distinguishing indoor and outdoor users, and storage medium | |
CN103002495A (en) | Assessment method and device of wireless network structure | |
CN110649981B (en) | MOD3 interference processing method and equipment | |
CN108684017A (en) | A kind of data transmission method, terminal and base station | |
CN103118396B (en) | A kind of method and base station managing small-cell network | |
CN107395313B (en) | A kind of method and device reducing inter-cell interference | |
CN114980194B (en) | Interference detection method, device and storage medium | |
CN104641676B (en) | A kind of performance estimating method, device and the user equipment of covering and capacity optimization | |
CN111263375A (en) | VOLTE uplink and downlink coverage balance judgment method and device | |
CN104185202B (en) | The determination method of Reference Signal Received Power |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |