CN107094301B - Method and equipment for determining cell user perception - Google Patents
Method and equipment for determining cell user perception Download PDFInfo
- Publication number
- CN107094301B CN107094301B CN201610091048.7A CN201610091048A CN107094301B CN 107094301 B CN107094301 B CN 107094301B CN 201610091048 A CN201610091048 A CN 201610091048A CN 107094301 B CN107094301 B CN 107094301B
- Authority
- CN
- China
- Prior art keywords
- threshold
- cell
- data
- index data
- success rate
- 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.)
- Active
Links
Images
Classifications
-
- 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
Abstract
The invention discloses a method and equipment for determining cell user perception, wherein the method comprises the following steps: acquiring signaling plane data and user plane data within a first preset time length when a terminal resides in a cell; acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length; obtaining first index data according to the signaling plane data and the user plane data; obtaining second index data according to the RSRP; and determining whether the cell is a poor cell within the first preset time length according to the first index data and the second index data. At least, the service perception of the terminal can be improved, and the optimization of the network is improved.
Description
Technical Field
The invention relates to a cell user perception technology, in particular to a method and equipment for determining cell user perception.
Background
In a Long Term Evolution (LTE) system, the sensing capability of a terminal in a current cell can be measured by measuring the drop rate and the network speed in an MR report through a network. The quality and the badness of the terminal sensing capability in the current cell can be obtained by counting the complaint proportion of the user to the current cell; for example, the universal user complaint ratio of the current cell is counted, and when the universal user complaint ratio exceeds a certain ratio, such as eight parts per million, it is determined that the perception capability of the terminal in the current cell is poor, that is, the current cell is a poor quality cell. With the first method, the call drop rate of a certain cell is low, and the number of complaints is high. In the second method, if individual users have poor user perception due to their own terminals, the complaint rate of the general user of the cell is affected once the complaint is received, and the final user perception evaluation result of the cell is affected. Therefore, the perception of the terminal service cannot be truly reflected only according to the single index data such as the call drop rate in the MR report or the complaint ratio of ten thousand users, and the optimization of the network cannot be further promoted.
Disclosure of Invention
In order to solve the existing technical problem, embodiments of the present invention provide a method and a device for determining a cell user perception, which can at least improve a service perception of a terminal and improve optimization of a network.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides a method for determining cell user perception, which comprises the following steps:
acquiring signaling plane data and user plane data within a first preset time length when a terminal resides in a cell;
acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length;
obtaining first index data according to the signaling plane data and the user plane data;
obtaining second index data according to the RSRP;
and determining whether the cell is a poor cell within the first preset time length according to the first index data and the second index data.
In the foregoing scheme, obtaining the first indicator data according to the signaling plane data and the user plane data includes:
obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, wherein N is a positive integer;
calculating N evaluation values of the N pieces of perception index data in the first preset time length;
determining first index data according to the N evaluation values, wherein the first index data is characterized by the perception capability of cell users within the first preset time;
wherein the N pieces of perceptual metric data include: the success rate of the terminal attaching to the cell, the attachment delay, (evolved packet System) evolution packet System EPS default bearer establishment success rate, the EPS delay, the DNS query success rate when the terminal executes the DNS query service in the cell, the DNS delay, the TCP service wireless success rate when the terminal executes the TCP service in the cell, the TCP service wireless delay, the TCP service core success rate, the TCP service core delay, the HTTP service download rate when the terminal executes the HTTP service in the cell, the HTTP service success rate and at least one of the HTTP service response time delay.
In the foregoing solution, the determining the first index data according to the N evaluation values includes:
acquiring a weight value distributed to the evaluation value of each perception index data;
multiplying the evaluation value of each sensing index data by the corresponding weight to obtain N first operation results;
and adding the N first operation results to obtain the first index data.
In the above scheme, the second index data is obtained according to the RSRP;
the number of RSRPs is at least two,
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value;
and in a preset first corresponding relation, determining second index data corresponding to the first proportion value, wherein the second index data is characterized by the coverage level of the cell within the first preset time length.
In the foregoing solution, before determining whether the cell is a poor cell within the first predetermined time according to the first indicator data and the second indicator data, the method further includes:
obtaining complaint data of the cell within the first preset time length;
calculating a universal customer complaint ratio of the cell according to the complaint data;
in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
correspondingly, the determining whether the cell is a poor cell within the first predetermined time period according to the first index data and the second index data includes:
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the cell is a poor quality cell;
the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
In the foregoing solution, before determining whether the cell is a poor cell within the first predetermined time period according to the first indicator data and the second indicator data, the method further includes:
acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value;
acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold;
correspondingly, the determining whether the cell is a poor cell within the first predetermined time period according to the first index data and the second index data includes:
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the cell is a poor quality cell;
the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
An embodiment of the present invention further provides an apparatus for determining user perception of a cell, where the apparatus includes:
a first obtaining unit, configured to obtain signaling plane data and user plane data within a first predetermined time period when a terminal resides in a cell;
the second acquisition unit is used for acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length;
the first calculation unit is used for obtaining first index data according to the signaling plane data and the user plane data;
the second calculating unit is used for obtaining second index data according to the RSRP;
a first determining unit, configured to determine whether the cell is a poor cell within the first predetermined time period according to the first index data and the second index data.
In the foregoing solution, the first calculating unit is configured to:
obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, wherein N is a positive integer;
calculating N evaluation values of the N pieces of perception index data in the first preset time length;
determining first index data according to the N evaluation values, wherein the first index data is characterized by the perception capability of cell users within the first preset time;
wherein the N pieces of perceptual metric data include: the success rate of the terminal attaching to the cell, the attachment delay, (evolved packet System) evolution packet System EPS default bearer establishment success rate, the EPS delay, the DNS query success rate when the terminal executes the DNS query service in the cell, the DNS delay, the TCP service wireless success rate when the terminal executes the TCP service in the cell, the TCP service wireless delay, the TCP service core success rate, the TCP service core delay, the HTTP service download rate when the terminal executes the HTTP service in the cell, the HTTP service success rate and at least one of the HTTP service response time delay.
In the foregoing solution, the first calculating unit is configured to:
acquiring a weight value distributed to the evaluation value of each perception index data;
multiplying the evaluation value of each sensing index data by the corresponding weight to obtain N first operation results;
and adding the N first operation results to obtain the first index data.
In the foregoing solution, the second calculating unit is configured to:
the number of RSRPs is at least two,
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value;
and in a preset first corresponding relation, determining second index data corresponding to the first proportion value, wherein the second index data is characterized by the coverage level of the cell within the first preset time length.
In the foregoing solution, the first determining unit is configured to:
obtaining complaint data of the cell within the first preset time length;
calculating a universal customer complaint ratio of the cell according to the complaint data;
in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the cell is a poor quality cell;
the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
In the foregoing solution, the first determining unit is configured to:
acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value;
acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold;
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the cell is a poor quality cell;
the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
The embodiment of the invention provides a method and equipment for determining cell user perception, wherein the method comprises the following steps: acquiring signaling plane data and user plane data within a first preset time length when a terminal resides in a current cell; acquiring Reference Signal Received Power (RSRP) of a current cell within a first preset time; obtaining first index data according to the signaling plane data and the user plane data; obtaining second index data according to the RSRP; and determining whether the current cell is a poor cell within the first preset time length according to the first index data and the second index data. By combining signaling plane data, user plane data and RSRP, compared with the single index data in the prior art, such as the drop rate in an MR report or the complaint ratio of ten thousand users, the method can at least improve the service perception of the terminal and the optimization of the network.
Drawings
FIG. 1 is a schematic diagram of a scenario provided by an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating an implementation of the method for determining user perception of a cell according to the embodiment of the present invention;
FIG. 3 is a diagram illustrating a terminal performing five phases according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a configuration structure of a device for sensing a user for determining a cell according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be understood that the preferred embodiments described below are only for the purpose of illustrating and explaining the present invention, and are not to be construed as limiting the present invention.
The embodiment of the invention provides a method for determining cell user perception, which is applied to a central server, wherein an application scene graph shown in figure 1 comprises the central server, a processing server, an acquisition server and an operation and maintenance server, and the purposes of the servers are described in the subsequent scheme.
As shown in fig. 2, the method includes:
step 201: acquiring signaling plane data and user plane data within a first preset time length when a terminal resides in a cell;
the device body performing step 201 is a central server. When the terminal resides in a cell, the acquisition server acquires interface information in an S1-MME (interface between a base station eNodeB and a mobility management network element) interface and an S1-U (eNodeB and serving gateway SGW) interface, wherein the interface information at least comprises signaling plane data and user plane data. The acquisition server transmits the acquired interface information to the processing server, the processing server analyzes signaling plane data and user plane data from the interface information, the processing server transmits the analyzed signaling plane data and user plane data to the central server, and the central server receives the data. It should be understood by those skilled in the art that the collection server collects the interface information in real time or periodically, such as daily, monthly, the collected interface information being for at least two cells. The signaling plane data and the user plane data received by the central server are also the signaling plane data and the user plane data for a plurality of cells. The central server identifies which signaling plane data and user plane data are data of the current cell through cell position information carried in the signaling plane data and the user plane data. The first predetermined time is an hour, a day, a month, a year, etc., and taking the first predetermined time as a day as an example herein, the central server receives signaling plane data and user plane data of a current cell, for example, cell a, in a certain day, for example, 2016, 2, month, 16 days.
As will be understood by those skilled in the art, in the LTE System, the terminal internet flow is shown in fig. 3, and the LTE terminal mainly goes through five stages from power on to normal service use, i.e., several stages, i.e., a network attachment (a first stage), an evolved packet System (EPC, evolved packet System) default bearer establishment (a second stage), a Domain Name System (DNS, Domain Name System) query (a third stage), a Transmission Control Protocol (TCP, Transmission Control Protocol) establishment (a fourth stage), and a HyperText Transfer Protocol (HTTP, HyperText Transfer Protocol) service (a fifth stage). The success rate and the time delay of each stage can reflect the internet service perception condition of the terminal to a certain extent, meanwhile, the network attachment and EPC default bearer are established as a signaling plane data transmission process, and DNS inquiry, TCP establishment, HTTP service and the like are user plane data transmission processes, so the success rate and the time delay of the first stage and the second stage can be obtained according to the signaling plane data of the corresponding stage, the success rate and the time delay of the third stage to the fifth stage can be obtained according to the user plane data of the corresponding stage, and how to obtain the success rate and the time delay of the third stage to the fifth stage is shown in the following related description.
The success rate and the time delay of the first stage and the second stage comprise: ATTACH success rate of terminal attaching to current cell, ATTACH delay, EPS default bearer establishment success rate and EPS delay;
the success rate and the time delay of the third stage to the fifth stage comprise: the terminal comprises a DNS query success rate when executing DNS query service in the current cell, DNS time delay, a TCP service wireless success rate when executing TCP service in the current cell, TCP service wireless time delay, TCP service core success rate, TCP service core time delay, HTTP service download rate when executing HTTP service in the current cell, HTTP service success rate and HTTP service response time delay.
Each success rate and each time delay in the foregoing five stages can be referred to as a piece of sensing index data, which in this embodiment includes N pieces of sensing index data, where N is a positive integer and can be a value N of 1 or 2 …, and N of 13 is preferred in this scheme.
In the embodiment of the invention, the perception index data of the five stages are used as an index for measuring the perception situation of the current cell user. For the purpose and the specific process to be achieved in each of the five stages, reference is made to the related description, which is not repeated herein.
Step 202: acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length;
here, the device main body that performs step 202 is a center server. The method comprises the steps that MR data of a cell measurement report are collected by a base station eNodeB and reported to an OMC system through a northbound interface, the cell measurement report comprises RSRP information of each cell in an hour, a day, a month or a year, the OMC stores the RSRP information and transmits the RSRP information to a central server through a processing server, and the central server receives the RSRP information and extracts the RSRP information of the current cell in a first preset time period, such as a certain day (2016, 2, 16).
Step 203: obtaining first index data according to the signaling plane data and the user plane data;
the device body performing step 203 is a central server.
Preferably, the present step comprises: obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, and calculating N evaluation values of the N pieces of sensing index data in the first preset time; and determining first index data according to the N evaluation values, wherein the first index data is characterized by the perception capability of the current cell user within the first preset time length.
Wherein the determining of the first index data based on the N evaluation values includes: acquiring a weight value distributed to each sensing index data; multiplying each sensing index data by the corresponding weight to obtain N first operation results; and adding the N first operation results to obtain the first index data.
Specifically, the evaluation value may be regarded as a score value, and considering that the sensing index data related in this embodiment is more, how to obtain the score value within a first predetermined time period, such as a day, is described by using the sensing index data, i.e., the ATTACH success rate of the terminal to the current cell, in this embodiment.
In this embodiment, when the central server receives the signaling plane data, the number of ATTACH successes of the current cell (e.g., cell a) terminal within the first predetermined time duration and the total number of ATTACH successes of the current cell terminal within the first predetermined time duration are extracted according to the cell location information; and according to the two signaling plane data, counting the success rate of the ATTACH of the current cell terminal within the first preset time, which can be calculated according to the formula (1):
the ATTACH success rate is the number of times of ATTACH success of the current cell terminal within the first predetermined time period/the total number of times of ATTACH of the current cell terminal within the first predetermined time period (1).
The ATTACH success rate reflects the success rate of the access of the terminal of the current cell to the network from the current cell after the terminal of the current cell is started.
The evaluation value of the sensing index data, ATTACH success rate, can be obtained according to table 1.
TABLE 1
| ATTACH success rate | Evaluation of ATTACH success Rate (score value) |
| ATTACH success rate less than 0.3 | 0 |
| ATTACH success rate is more than 0.3 and less than 0.6 | (ATTACH success rate-0.3)/(0.6-0.3) × 20 |
| ATTACH success rate is more than 0.6 and less than 0.75 | (ATTACH success rate-0.6)/(0.75-0.6) × 20+20 |
| ATTACH success rate is more than 0.75 and the ATTACH success rate is less than 0.85 | (ATTACH success rate-0.75)/(0.85-0.75) +20 +40 |
| The success rate of ATTACH is greater than 0.85 and less than 0.96 | (ATTACH success rate-0.85)/(0.96-0.85) +20 +60 |
| The success rate of ATTACH is greater than 0.96 and less than 0.99 | (ATTACH success rate-0.96)/(0.99-0.96) × 20+80 |
| ATTACH success rate is more than 0.99 | 100 |
The ATTACH delay can be calculated according to equation (2):
ATTACH time delay ═ Σ (ATTACH process end time-ATTACH process start time)/ATTACH total number of times (2)
Wherein, the ATTACH flow ending time, the ATTACH flow starting time and the total times of the ATTACH are carried in the signaling plane data. And sigma represents the sum of the difference between the end time and the start time of the flow in the process of initiating the attachment flow all times within the first preset time length.
The estimation value of the sensing index data, ATTACH delay, can be obtained according to table 2.
TABLE 2
| ATTACH time delay | ATTACH delay evaluation value (score value) |
| ATTACH delay > 8000 | 0 |
| ATTACH delay > 5000 and ATTACH delay & lt 8000 | (8000-ATTACH delay)/(8000- & lt5000 & gt) & lt 20 & gt |
| The delay of | ATTACH > 2000 and ATTACH < 5000 | (5000-ATTACH time delay))/(5000-2000)*20+20 |
| ATTACH delay is greater than 1000 and is less than 2000 | (2000-ATTACH time delay)/(2000 + 1000). 20+40 |
| ATTACH delay > 600 and ATTACH delay < 1000 | (1000-ATTACH time delay)/(1000 + 600). 20+60 |
| ATTACH delay is more than 300 and 600 | (600-ATTACH time delay)/(600-300) 20+80 |
| ATTACH delay 300 < - | 100 |
The EPS default bearer establishment success rate is referred to as EPS success rate and is calculated according to formula (3):
EPS success rate ═ EPS bearer activation success times/EPS bearer activation request times (3)
The EPS bearing activation success times and the EPS bearing activation request times are carried in the signaling plane data and are the EPS success times and the request times in the first preset time.
The evaluation value of the EPS success rate, i.e., the sensing index data, can be obtained according to table 3.
TABLE 3
The EPS time delay can be calculated according to equation (4):
EPS time delay ═ Σ (EPS bearer activation process end time-EPS bearer activation process start time)/EPS bearer activation request times (4)
The EPS load activation flow ending time, the EPS load activation flow starting time and the EPS load activation request times are all carried in the signaling plane data. And sigma represents the sum of the difference between the end time and the start time of the process in the process of initiating the EPS bearing establishment process all times within the first preset time length.
The evaluation value of the sensing index data of EPS time delay can be obtained according to table 4.
TABLE 4
| EPS time delay | Evaluation value (score value) of EPS time delay |
| EPS time delay is more than 500 | 0 |
| EPS time delay is more than 200 and EPS time delay is less than 500 | (500-EPS time delay)/(500-200) × 20 |
| EPS time delay is more than 150 and EPS time delay is less than 200 | (200-EPS time delay)/(200-150) × 20+20 |
| EPS time delay is more than 100 and EPS time delay is less than 150 | (150-EPS time delay)/(150-100) × 20+40 |
| EPS delay is more than 60 and EPS delay is less than 100 | (100-EPS time delay)/(100-60) 20+60 |
| EPS delay is more than 30 and EPS delay is less than 60 | (60-EPS time delay)/(60-30). 20+80 |
| EPS time delay is less than equal to 30 | 100 |
The success rate regarding DNS query (DNS success rate) can be obtained according to equation (5):
DNS success rate is DNS response times/DNS request total times (5)
The DNS response times and the total DNS request times are user plane data, the numerator is the DNS response times within a first preset time length, and the denominator is the total DNS request times within the first preset time length.
The evaluation value of the sensing index data, namely the DNS query success rate, can be obtained according to table 5.
TABLE 5
The DNS delay can be calculated according to equation (6):
DNS delay ═ Σ (DNS response time-DNS request time)/total number of DNS requests (6)
And the DNS response time, the DNS request time and the total DNS request times are all user plane data within a first preset time length. And sigma represents the sum of the DNS response time ending time and the request time difference in all times of initiating the DNS service flow within the first preset time length.
The evaluation value of the DNS delay, a perception index data, can be obtained according to table 6.
TABLE 6
| DNS latency | Evaluation value of DNS time delay (score value) |
| DNS latency > 500 | 0 |
| DNS latency > 150 and DNS latency < 500 | (500-DNS time delay)/(500-150). 20 |
| DNS latency > 100 and DNS latency < > 150 | (150-DNS time delay)/(150-100) × 20+20 |
| DNS delay is more than 80 and DNS delay is less than 100 | (100-DNS time delay)/(100-80). 20+40 |
| DNS latency > 50 and DNS latency < 80 | (80-DNS time delay)/(80-50) 20+60 |
| DNS latency > 20 and DNS latency < 50 | (50-DNS time delay)/(50-20) 20+80 |
| DNS time delay is less than 20 | 100 |
The wireless success rate for TCP traffic (TCP wireless success rate) can be calculated according to equation (7):
TCP wireless success rate ═ TCP link establishment acknowledgement success times/TCP request total record number (7)
The TCP link establishment confirmation success times and the total TCP request record number are carried in user plane data in a first preset time length.
The evaluation value of the TCP radio success rate, which is the sensing index data, can be obtained according to table 7.
TABLE 7
| TCP wireless success rate | TCP wireless success rate scoring |
| TCP wireless success rate is less than 0.3 | 0 |
| The success rate of TCP wireless is greater than 0.3 and less than 0.9 | (TCP wireless success rate-0.3)/(0.9-0.3) × 20 |
| The success rate of TCP wireless is greater than 0.9 and less than 0.92 | (TCP wireless success rate-0.9)/(0.92-0.9) × 20+20 |
| The success rate of TCP wireless is greater than 0.92 and less than 0.96 | (TCP wireless success rate-0.92)/(0.96-0.92) × 20+40 |
| The success rate of TCP wireless is greater than 0.96 and less than 0.98 | (TCP wireless success rate-0.96)/(0.98-0.96) × 20+60 |
| The success rate of TCP wireless is greater than 0.98 and less than 0.99 | (TCP wireless success rate-0.98)/(0.99-0.98) × 20+80 |
| TCP is free ofThe success rate of the line is more than 0.99 | 100 |
The radio delay for TCP traffic (TCP radio delay) can be calculated according to equation (8):
TCP wireless delay ═ sigma TCP link establishment acknowledgement delay/total number of TCP requests (8)
The TCP link establishment confirmation time delay and the TCP request total record number are carried in user plane data in a first preset time length, and sigma represents the sum of the TCP link establishment confirmation time delay in the first preset time length.
The evaluation value of the TCP radio delay, which is a perception index data, can be obtained according to table 8.
TABLE 8
| TCP wireless time delay | TCP wireless time delay scoring |
| TCP wireless delay > 500 | 0 |
| TCP wireless time delay is more than 200 and TCP wireless time delay is less than 500 | (500-TCP wireless time delay)/(500-200) × 20 |
| TCP wireless time delay is more than 100 and TCP wireless time delay is less than 200 | (200-TCP wireless time delay)/(200 + 100) × 20+20 |
| TCP wireless time delay is more than 70 and TCP wireless time delay is less than 100 | (100-TCP wireless time delay)/(100-70) × 20+40 |
| TCP wireless time delay is more than 50 and TCP wireless time delay is 70 | (70-TCP wireless time delay)/(70-50). 20+60 |
| TCP wireless time delay is more than 20 and TCP wireless time delay is less than 50 | (50-TCP wireless delay)/(50-20) × 20+80 |
| TCP wireless time delay is less than 20 | 100 |
The success rate of the TCP service core (TCP core success rate) can be calculated according to equation (9):
TCP core success rate (TCP link establishment response delay success times/TCP request total record number) (9)
The successful times of TCP link establishment response delay and the total record number of TCP requests are carried in the user plane data within the first preset time length.
The evaluation value of the TCP core success rate, i.e. the sensing index data, can be obtained according to table 9.
TABLE 9
| TCP core success rate | Evaluation of TCP core success Rate (score value) |
| Success rate of TCP core is less than 0.3 | 0 |
| TCP core success rate is greater than 0.3 and TCP core success rate is less than 0.94 | (TCP core success rate-0.3)/(0.94-0.3) × 20 |
| TCP core success rate is greater than 0.94 and TCP core success rate is less than 0.96 | (TCP core success rate-0.94)/(0.96-0.94) × 20+20 |
| TCP core success rate is greater than 0.96 and TCP core success rate is less than 0.975 | (TCP core success rate-0.96)/(0.975-0.96) × 20+40 |
| TCP core success rate is greater than 0.975 and TCP core success rate is less than 0.985 | (TCP core success rate-0.975)/(0.985-0.975) +20 +60 |
| TCP core success rate is greater than 0.985 and TCP core success rate is less than 0.99 | (TCP core success rate-0.985)/(0.99-0.985) +20 +80 |
| TCP core success rate is more than 0.98 | 100 |
The TCP service core success rate is referred to as the TCP core success rate for short and is calculated according to a formula (10) to obtain:
TCP core delay ═ sigma TCP link setup response delay/total number of TCP requests (10)
The TCP link establishment response delay and the total TCP request times are carried in user plane data in first preset time. And sigma represents the sum of TCP link-building response time delay in all sub-TCP traffic within a first preset time length.
The evaluation value of the TCP core delay, a perception index data, can be obtained according to table 10.
Watch 10
| TCP core latency | Evaluation value (score value) of TCP core delay |
| TCP core latency > 500 | 0 |
| TCP core latency > 200 and TCP core latency < 500 | (500-TCP core latency)/(500-200) × 20 |
| TCP core latency > 150 and TCP core latency < 200 | (200-TCP core delay)/(200 + 150) × 20+20 |
| TCP core latency > 100 and TCP core latency < 150 | (150-TCP core latency)/(150-100) × 20+40 |
| TCP core latency > 60 and TCP core latency < 100 | (100-TCP core latency)/(100-60) × 20+60 |
| TCP core latency > 30 and TCP core latency < 60 | (60-TCP core latency)/(60-30) × 20+80 |
| TCP core delay is less than 30 | 100 |
The success rate of HTTP service can be calculated by equation (11):
HTTP service success rate (HTTP success times/total number of HTTP requests) (11)
The HTTP success times and the HTTP request total times are carried in the user plane data within the first preset time length.
The HTTP traffic success rate, an evaluation value of the sensing index data, can be obtained according to table 11.
TABLE 11
| HTTP service success rate | HTTP traffic success rate scoring |
| HTTP service with It power 0.3 | 0 |
| HTTP service success rate is greater than 0.3 and HTTP service success rate is less than 0.94 | (HTTP service power-0.3)/(0.94-0.3) × 20 |
| The success rate of HTTP service is greater than 0.94 and less than 0.96 | (HTTP service power-0.94)/(0.96-0.94) 20+20 |
| The success rate of HTTP service is greater than 0.96 and less than 0.98 | (HTTP traffic success rate-0.96)/(0.98-0.96) × 20+40 |
| The success rate of HTTP service is greater than 0.98 and less than 0.99 | (HTTP traffic success rate-0.98)/(0.99-0.98) × 20+60 |
| HTTP service success rate is greater than 0.99 and HTTP service success rate is less than 0.995 | (HTTP traffic success rate-0.99)/(0.995-0.99) × 20+80 |
| Success rate of HTTP service is more than 0.995 | 100 |
The HTTP response latency can be calculated by equation (12):
HTTP response latency ═ Σ first HTTP response packet latency/total number of HTTP requests (12)
The first HTTP response packet delay and the total number of HTTP requests are carried in the user plane data within the first preset time. Σ represents the sum of the first HTTP response packet latency transmitted each time HTTP traffic is initiated within a first predetermined time period.
The evaluation value of the HTTP response delay, which is the sensing index data, can be obtained according to table 12.
TABLE 12
The HTTP traffic download rate (HTTP download rate) can be calculated by equation (13):
HTTP download rate ∑ HTTP downstream traffic/delay of last ACK acknowledgement packet (13)
The HTTP downlink flow and the time delay of the last ACK acknowledgement packet are carried in user plane data within a first preset time length. And sigma represents the sum of HTTP downlink traffic when HTTP traffic is initiated all times within a first preset time length.
The evaluation value of the HTTP download rate, a perception index data, can be obtained according to table 13.
Watch 13
| HTTP download rate | HTTP download rate scoring |
| HTTP download rate & lt 50- | 0 |
| HTTP download rate > 50 and HTTP download rate < 500 | (HTTP download rate-50)/(500-50) × 20 |
| HTTP download rate > 500 and HTTP download rate < 1000 | (HTTP download rate-500)/(1000 + 500) × 20+20 |
| HTTP download rate > 1000 and HTTP download rate < 2000 | (HTTP download Rate-1000)/(2000 + 1000) × 20+40 |
| HTTP download rate > 2000 and HTTP download rate < 3000 | (HTTP download rate-2000)/(3000 + 2000) × 20+60 |
| HTTP download rate > 3000 and HTTP download rate < <4500 | (HTTP download rate-3000)/(4500- |
| HTTP download Rate > 4500 | 100 |
In tables 1 to 13, the unit of the time delay may be nanoseconds, milliseconds, seconds, minutes, hours, etc., and the unit of the download speed may be bits/second, megabits/second, kilobits/second, etc., which is not limited herein. Those skilled in the art should appreciate that the data referred to in tables 1-13 are empirical values, which are only a specific example and do not represent all implementations of the present solution. And (3) in the formulas (1) to (13), denominator data and numerator data are from user plane data and signaling plane data, and corresponding data are extracted from the user plane data and the signaling plane data which are received by the central server and sent by the processing server, and calculation is carried out according to the corresponding formulas.
Obtaining 13 pieces of sensing index data and evaluation values thereof through the aforementioned formulas (1) to (3) and tables 1 to 13, and then reading a weight α preset for the evaluation value of each piece of sensing index data1～α13And multiplying the evaluation values of the sensing index data by the corresponding weight values to obtain 13 multiplication results, and adding the 13 multiplication results to obtain first index data. Specifically, as shown in formula (14),
first index data is evaluated as ATTACH success rate value α1+ ATTACH delay estimate α2+ EPS default bearer establishment success rate evaluation value α3+ EPS delay estimate α4+ evaluation value of DNS query success rate α5+ estimated value of DNS delay α6+ evaluation value of wireless success rate of TCP traffic α7+ evaluation value of wireless delay of TCP traffic α8+ evaluation of TCP traffic core success rate α9+ estimate of TCP traffic core delay α10+ HTTP download rate estimate α11+ HTTP traffic success rate evaluation value α12+ [ evaluation value of HTTP traffic response delay]*α13(14)
Wherein the content of the first and second substances,
n-1, 2 …. n. in this example, α1～α13Is an empirical value, preferably α1＝0.16、α2＝0.16、α3＝0.16、α4＝0.16、α5＝0.025、α6＝0.025、α7＝0.025、α8＝0.025、α9＝0.025、α10＝0.025、α11＝0.16、α12＝0.025、α13＝0.025。
In the scheme, the cell is taken as a unit, the evaluation values of the perception index data such as the success rate, the time delay and the like of the cell at each stage of five stages are respectively counted, and then the weighting operation is carried out, so that the perception situation of the cell user can be truly reflected.
Step 204: obtaining second index data according to the RSRP;
the device body performing step 204 is a central server. After the central server receives RSRP information sent by the processing server, the number of RSRPs is usually at least two, and this step is further:
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value; and in a preset first corresponding relation, determining second index data corresponding to the first proportional value, wherein the second index data is characterized by the coverage level of the current cell within the first preset time length. The first predetermined threshold is an empirical value preset by operation and maintenance personnel, and here, taking the first predetermined threshold as-110 dBm as an example, in at least two RSRPs, calculating a ratio of RSRPs with values greater than-110 dBm to obtain a first ratio value, where the first ratio value is the sum of RSRPs with values greater than-110 dBm/the total number of RSRPs. Then, second index data corresponding to the first scale value is determined in accordance with the first correspondence relationship indicated in table 14.
TABLE 14
| First proportional value | Second index data |
| The first proportion value is less than 75 percent | 0 |
| 75% < the first ratio < 90% | (first ratio-75%). 100/15 |
| The first ratio is more than 90% | 100 |
It should be understood by those skilled in the art that in the first correspondence shown in table 14, 75% and 90% are empirical values and are flexible depending on the actual situation. Considering that the value of RSRP can directly reflect the coverage level of a cell, the size of the second index data obtained after the processing by the above scheme can reflect the quality of the coverage level of the current cell to a certain extent.
Step 205: and determining whether the cell is a poor cell within the first preset time length according to the first index data and the second index data.
The device body performing step 205 is a central server.
Step 205 may be implemented in two ways:
the first method is as follows: acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value; acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold; when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the current cell is a poor quality cell; the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
Specifically, a first threshold value and a second threshold value are set for the first index data in advance, and a third threshold value and a fourth threshold value are set for the second index data, wherein the first threshold value is smaller than the second threshold value, and the third threshold value is smaller than the fourth threshold value; in this method, these four thresholds are fixed values for the current cell. The four threshold values are obtained by reading a first threshold value, a second threshold value, a third threshold value and a fourth threshold value which are preset, and the sizes of the first index data and the first threshold value and the second threshold value are respectively judged, and the sizes of the second index data and the third threshold value and the fourth threshold value are respectively judged. Taking the first threshold value of 50%, the second threshold value of 80%, the third threshold value of 60%, and the fourth threshold value of 75% as an example, when it is determined that the first index data is less than 50% and the second index data is less than 60%, the current cell may be considered as a poor cell. Wherein, the first index data less than 50% indicates that the terminal has poor perception capability in the current cell; the second index data being less than 60% indicates that the coverage level of the current cell is low, and if both of these conditions exist, it may indicate that the current cell is a poor cell within the first predetermined time period.
It should be understood by those skilled in the art that regarding the current cell as a poor cell for the two cases of the first index data being less than 50% and the second index data being greater than 75%, and the first index data being greater than 80% and the second index data being less than 60%, the current cell may also be determined as not being a poor cell, and the situation is flexible.
The second method comprises the following steps: for a certain cell, values of the first threshold, the second threshold, the third threshold, and the fourth threshold are related to complaint data of the cell within a certain time, and further, the second method is as follows:
obtaining complaint data of the current cell within the first preset time length; calculating a universal user complaint ratio of the current cell according to the complaint data; in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
correspondingly, the determining whether the current cell is a poor cell within the first predetermined time period according to the first index data and the second index data includes: when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the current cell is a poor quality cell; the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
Specifically, the operation and maintenance server stores complaint data of a plurality of cells, transmits the complaint data to the processing server, and the processing server sends the complaint data to the central server. The central server extracts the complaint data of the current cell within a first preset time length according to the cell position information, calculates the universal customer complaint ratio of the current cell, and searches a first threshold value to a fourth threshold value corresponding to the universal customer complaint ratio in a second corresponding relation shown in table 15.
Watch 15
| Complaint ratio of ten-thousand users | First threshold, second threshold, third threshold and fourth threshold |
| Complaint ratio of ten-thousand users is less than five parts per million | 10％、20％、30％、50％ |
| Five per ten-thousandth < universal customer complaint ratio < ten per ten-thousandth | 40％、60％、40％、65％ |
| The complaint ratio of the universal user is more than ten-thousandths | 60％、80％、55％、90％ |
Assuming that the calculated universal customer complaint ratio is less than five parts per million, the first threshold value to the fourth threshold value are respectively 10%, 20%, 30% and 50% in the table, the first index data, the first threshold value and the second threshold value are judged, the second index data, the third threshold value and the fourth threshold value are judged, and when the first index data is judged to be less than 10% and the second index data is judged to be less than 30%, the current cell can be regarded as a poor cell.
It should be understood by those skilled in the art that regarding the current cell as a poor cell for the two cases of the first index data being less than 10% and the second index data being greater than 30%, and the first index data being greater than 20% and the second index data being less than 30%, the current cell may also be determined as not being a poor cell, depending on the circumstances. The values of five ten-thousandths, and four thresholds in table 15 can be set flexibly in practical cases, and are not limited to the aforementioned ones. For the calculation of the universal user complaint ratio of the cell, please refer to the related art, which is not described herein.
In the second mode, for a certain cell, the values of the first threshold, the second threshold, the third threshold and the fourth threshold are not constant, but are related to the complaint data of the cell within a certain time, and after the first index data and the second index data are obtained, the perception level of the terminal in the current cell can be reflected more truly by combining the complaint data of the user.
According to the scheme, first index data is obtained through signaling plane data and user plane data of the current cell within a first preset time length, and the first index data is characterized by the sensing capability of the current cell user within the first preset time length; meanwhile, second index data are obtained through at least two RSRPs within a first preset time length, the second index data are characterized by the coverage level of a current cell within the first preset time length, signaling surface data, user surface data and RSRP values are combined to calculate first index data and second index data which are used for judging whether the current cell is a poor quality cell, and compared with single index data which are only based on the drop-off rate in an MR report or only based on ten thousand user complaint ratios and the like in the prior art, the method can truly reflect the service perception of the terminal, improve the service perception capability of the terminal and optimize the network. When determining whether the current cell is a poor cell, the method can simultaneously combine complaint data of users to realize dynamic setting of four thresholds, so that the perception level of the terminal in the current cell can be reflected more truly.
As shown in fig. 4, an embodiment of the present invention further provides an apparatus for determining user perception of a cell, where the apparatus includes: a first acquisition unit 401, a second acquisition unit 402, a first calculation unit 403, a second calculation unit 404, and a first determination unit 405; wherein the content of the first and second substances,
a first obtaining unit 401, configured to obtain signaling plane data and user plane data within a first predetermined time period when a terminal resides in a cell;
a second obtaining unit 402, configured to obtain reference signal received power RSRP of a cell within a first predetermined time period;
a first calculating unit 403, configured to obtain first index data according to the signaling plane data and the user plane data;
a second calculating unit 404, configured to obtain second index data according to the RSRP;
a first determining unit 405, configured to determine whether the cell is a poor cell within the first predetermined time period according to the first index data and the second index data.
Wherein the first computing unit 403 is configured to:
obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, wherein N is a positive integer;
calculating N evaluation values of the N pieces of perception index data in the first preset time length;
determining first index data according to the N evaluation values, wherein the first index data is characterized by the perception capability of cell users within the first preset time;
wherein the N pieces of perceptual metric data include: the success rate of the terminal attaching to the cell, the attachment delay, (evolved packet System) evolution packet System EPS default bearer establishment success rate, the EPS delay, the DNS query success rate when the terminal executes the DNS query service in the cell, the DNS delay, the TCP service wireless success rate when the terminal executes the TCP service in the cell, the TCP service wireless delay, the TCP service core success rate, the TCP service core delay, the HTTP service download rate when the terminal executes the HTTP service in the cell, the HTTP service success rate and at least one of the HTTP service response time delay.
The first calculating unit 403 is configured to:
acquiring a weight value distributed to the evaluation value of each perception index data;
multiplying the evaluation value of each sensing index data by the corresponding weight to obtain N first operation results;
and adding the N first operation results to obtain the first index data.
The second calculating unit 404 is configured to:
the number of RSRPs is at least two,
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value;
and in a preset first corresponding relation, determining second index data corresponding to the first proportion value, wherein the second index data is characterized by the coverage level of the cell within the first preset time length.
The first determining unit 405 is configured to:
obtaining complaint data of the cell within the first preset time length;
calculating a universal customer complaint ratio of the cell according to the complaint data;
in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the current cell is a poor quality cell;
the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
The first determining unit 405 is configured to:
acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value;
acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold;
when the first index data is smaller than a first threshold value and the second index data is smaller than a third threshold value, determining that the cell is a poor quality cell;
the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
It should be noted that, in the device for determining user perception of a cell provided in the embodiment of the present invention, because a principle of solving a problem of the device is similar to that of the method for determining user perception of a cell, both an implementation process and an implementation principle of the device may be described with reference to the implementation process and the implementation principle of the method, and repeated details are not described again.
It should be noted that the present solution can be applied to LTE systems, and can also be applied to other systems, such as Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), time Division-Synchronous Code Division Multiple Access (TD-SCDMA), and the like.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.
Claims (12)
1. A method of determining cell user perception, the method comprising:
acquiring signaling plane data and user plane data within a first preset time length when a terminal resides in a cell;
acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length;
obtaining first index data according to the signaling plane data and the user plane data; the first index data is characterized by the perception capability of the current cell user within the first preset time;
obtaining second index data according to the RSRP; the second indicator data is characterised by a coverage level of the current cell within the first predetermined length of time;
when the first index data is smaller than a first threshold and the second index data is smaller than a third threshold, determining whether the cell is a poor cell within the first preset time length; the first threshold and the third threshold are preset fixed values or are determined according to complaint data of the cell in a preset time period.
2. The method of claim 1, wherein obtaining the first metric data according to the signaling plane data and the user plane data comprises:
obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, wherein N is a positive integer;
calculating N evaluation values of the N pieces of perception index data in the first preset time length;
determining first index data according to the N evaluation values;
wherein the N pieces of perceptual metric data include: the success rate of the terminal attaching to the cell, the attachment delay, (evolved packet System) evolution packet System EPS default bearer establishment success rate, the EPS delay, the DNS query success rate when the terminal executes the DNS query service in the cell, the DNS delay, the TCP service wireless success rate when the terminal executes the TCP service in the cell, the TCP service wireless delay, the TCP service core success rate, the TCP service core delay, the HTTP service download rate when the terminal executes the HTTP service in the cell, the HTTP service success rate and at least one of the HTTP service response time delay.
3. The method according to claim 2, wherein the determining the first index data based on the N evaluation values includes:
acquiring a weight value distributed to the evaluation value of each perception index data;
multiplying the evaluation value of each sensing index data by the corresponding weight to obtain N first operation results;
and adding the N first operation results to obtain the first index data.
4. The method of claim 1, wherein said deriving second indicator data based on said RSRP;
the number of RSRPs is at least two,
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value;
and determining second index data corresponding to the first proportional value in a preset first corresponding relation.
5. The method of claim 1, wherein when the first indicator data is less than a first threshold and the second indicator data is less than a third threshold, determining whether the cell is a poor cell within the first predetermined time period further comprises:
obtaining complaint data of the cell within the first preset time length;
calculating a universal customer complaint ratio of the cell according to the complaint data;
in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
6. The method of claim 1, wherein before determining whether the cell is a poor cell within the first predetermined length of time when the first indicator data is less than the first threshold and the second indicator data is less than the third threshold, the method further comprises:
acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value;
acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold;
the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
7. An apparatus for determining cell user perception, the apparatus comprising:
a first obtaining unit, configured to obtain signaling plane data and user plane data within a first predetermined time period when a terminal resides in a cell;
the second acquisition unit is used for acquiring Reference Signal Received Power (RSRP) of a cell within a first preset time length;
the first calculation unit is used for obtaining first index data according to the signaling plane data and the user plane data; the first index data is characterized by the perception capability of the current cell user within the first preset time;
the second calculating unit is used for obtaining second index data according to the RSRP; the second indicator data is characterised by a coverage level of the current cell within the first predetermined length of time;
a first determining unit, configured to determine whether the cell is a poor cell within the first predetermined time period when the first index data is smaller than a first threshold and the second index data is smaller than a third threshold; the first threshold and the third threshold are preset fixed thresholds or are determined according to complaint data of the cell in a preset time period.
8. The apparatus of claim 7, wherein the first computing unit is configured to:
obtaining N pieces of sensing index data according to the signaling plane data and the user plane data, wherein N is a positive integer;
calculating N evaluation values of the N pieces of perception index data in the first preset time length;
determining first index data according to the N evaluation values;
wherein the N pieces of perceptual metric data include: the success rate of the terminal attaching to the cell, the attachment delay, (evolved packet System) evolution packet System EPS default bearer establishment success rate, the EPS delay, the DNS query success rate when the terminal executes the DNS query service in the cell, the DNS delay, the TCP service wireless success rate when the terminal executes the TCP service in the cell, the TCP service wireless delay, the TCP service core success rate, the TCP service core delay, the HTTP service download rate when the terminal executes the HTTP service in the cell, the HTTP service success rate and at least one of the HTTP service response time delay.
9. The apparatus of claim 8, wherein the first computing unit is configured to:
acquiring a weight value distributed to the evaluation value of each perception index data;
multiplying the evaluation value of each sensing index data by the corresponding weight to obtain N first operation results;
and adding the N first operation results to obtain the first index data.
10. The apparatus of claim 7, wherein the second computing unit is configured to:
the number of RSRPs is at least two,
calculating the ratio of the RSRP with the value larger than a first preset threshold value in at least two RSRPs to obtain a first ratio value;
and determining second index data corresponding to the first proportional value in a preset first corresponding relation.
11. The apparatus of claim 7, wherein the first determining unit is configured to:
obtaining complaint data of the cell within the first preset time length;
calculating a universal customer complaint ratio of the cell according to the complaint data;
in the second corresponding relation, determining a first threshold, a second threshold, a third threshold and a fourth threshold corresponding to the universal user complaint ratio, wherein the first threshold is smaller than the second threshold, and the third threshold is smaller than the fourth threshold;
the first and second threshold values are determined for first metric data, and the third and fourth threshold values are determined for second metric data.
12. The apparatus of claim 7, wherein the first determining unit is configured to:
acquiring a first threshold value and a second threshold value distributed for the first index data, wherein the first threshold value is smaller than the second threshold value;
acquiring a third threshold and a fourth threshold which are distributed for the second index data, wherein the third threshold is smaller than the fourth threshold;
the first threshold, the second threshold, the third threshold and the fourth threshold are preset fixed values.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610091048.7A CN107094301B (en) | 2016-02-18 | 2016-02-18 | Method and equipment for determining cell user perception |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610091048.7A CN107094301B (en) | 2016-02-18 | 2016-02-18 | Method and equipment for determining cell user perception |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107094301A CN107094301A (en) | 2017-08-25 |
| CN107094301B true CN107094301B (en) | 2020-05-26 |
Family
ID=59649230
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610091048.7A Active CN107094301B (en) | 2016-02-18 | 2016-02-18 | Method and equipment for determining cell user perception |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107094301B (en) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110120883B (en) * | 2018-02-07 | 2023-01-13 | 中国移动通信有限公司研究院 | Method and device for evaluating network performance and computer readable storage medium |
| CN110401551B (en) * | 2018-04-24 | 2022-05-13 | 中国移动通信集团广东有限公司 | Internet health degree evaluation method and system based on S1 interface |
| CN109379736B (en) * | 2018-10-26 | 2021-08-13 | 北京市天元网络技术股份有限公司 | Method and device for adjusting cell network quality |
| CN109803295B (en) * | 2019-03-05 | 2022-03-15 | 中国联合网络通信集团有限公司 | Method and device for evaluating communication cell rectification priority |
| CN110060093B (en) * | 2019-03-25 | 2023-12-05 | 广州瀚信通信科技股份有限公司 | Terminal marketing method based on 4G high-flow clients |
| CN111818560A (en) * | 2019-04-11 | 2020-10-23 | 中国移动通信集团福建有限公司 | Method and device for determining poor quality cell |
| CN113259954B (en) * | 2020-02-13 | 2023-02-28 | 中国移动通信集团广东有限公司 | Method and device for determining quality difference processing strategy and electronic equipment |
| CN114554536B (en) * | 2020-11-25 | 2024-04-09 | 亚信科技（中国）有限公司 | Network resource allocation method and device and electronic equipment |
| CN115379480A (en) * | 2022-08-23 | 2022-11-22 | 中国联合网络通信集团有限公司 | Network optimization method, device, server and storage medium |
| CN115802363A (en) * | 2022-11-11 | 2023-03-14 | 中国联合网络通信集团有限公司 | Method and device for determining cell to be optimized |
| CN115834419A (en) * | 2022-11-16 | 2023-03-21 | 中国联合网络通信集团有限公司 | Network evaluation method, device and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562830A (en) * | 2009-04-20 | 2009-10-21 | 深圳市优网科技有限公司 | Client perception evaluating method and system |
| CN103024793A (en) * | 2011-09-23 | 2013-04-03 | 中兴通讯股份有限公司 | Method and system for constructing communication service quality evaluation system |
| CN103955507A (en) * | 2014-04-25 | 2014-07-30 | 中国联合网络通信集团有限公司 | Early warning method and device based on perception of user |
| CN104754611A (en) * | 2013-12-25 | 2015-07-01 | 中兴通讯股份有限公司 | User perception evaluation method and system |
| CN105264859A (en) * | 2013-04-09 | 2016-01-20 | 诺基亚通信公司 | Method and apparatus for generating insight into the customer experience of web based applications |
| CN105657738A (en) * | 2016-03-30 | 2016-06-08 | 北京高新创优科技有限公司 | Method, device and system for positioning problem of poor mobile phone service aware quality |
| CN105721231A (en) * | 2014-12-01 | 2016-06-29 | 中国移动通信集团江苏有限公司 | Service quality sensing detection method and service quality sensing detection device |
| CN105828376A (en) * | 2016-05-09 | 2016-08-03 | 中国联合网络通信集团有限公司 | Service quality monitoring method and equipment based on user perception |
-
2016
- 2016-02-18 CN CN201610091048.7A patent/CN107094301B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101562830A (en) * | 2009-04-20 | 2009-10-21 | 深圳市优网科技有限公司 | Client perception evaluating method and system |
| CN103024793A (en) * | 2011-09-23 | 2013-04-03 | 中兴通讯股份有限公司 | Method and system for constructing communication service quality evaluation system |
| CN105264859A (en) * | 2013-04-09 | 2016-01-20 | 诺基亚通信公司 | Method and apparatus for generating insight into the customer experience of web based applications |
| CN104754611A (en) * | 2013-12-25 | 2015-07-01 | 中兴通讯股份有限公司 | User perception evaluation method and system |
| CN103955507A (en) * | 2014-04-25 | 2014-07-30 | 中国联合网络通信集团有限公司 | Early warning method and device based on perception of user |
| CN105721231A (en) * | 2014-12-01 | 2016-06-29 | 中国移动通信集团江苏有限公司 | Service quality sensing detection method and service quality sensing detection device |
| CN105657738A (en) * | 2016-03-30 | 2016-06-08 | 北京高新创优科技有限公司 | Method, device and system for positioning problem of poor mobile phone service aware quality |
| CN105828376A (en) * | 2016-05-09 | 2016-08-03 | 中国联合网络通信集团有限公司 | Service quality monitoring method and equipment based on user perception |
Non-Patent Citations (1)
| Title |
|---|
| 基于大数据分析的移动互联网用户感知评估系统;陈森;《运营技术广角》;20151231;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107094301A (en) | 2017-08-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107094301B (en) | Method and equipment for determining cell user perception | |
| CN106911517B (en) | Method and system for positioning end-to-end problem of mobile internet | |
| CN103906027A (en) | User value evaluation method and system based on mobile user internet surfing behaviors | |
| CN109362084B (en) | Method, apparatus, device and medium for communication service quality optimization | |
| US10298368B2 (en) | Method and device for handling inter-cell interference, control apparatus, and base station | |
| CN105357699A (en) | Wireless network quality monitoring system and method | |
| CN104901827A (en) | Network resource evaluation method and device based on user business structure | |
| CN113012415A (en) | Discrete method, device, server and storage medium for uploading wrong peaks of tables of NB-IoT (NB-IoT) | |
| CN111294849A (en) | Method and device for judging poor Internet access quality of LTE (Long term evolution) user | |
| KR20200038731A (en) | Method for analyzing of indoor floating population and apparatus thereof | |
| JP6527595B2 (en) | Communication management device, communication system and management program | |
| CN104883705B (en) | A kind of the problem of data service is complained localization method and device | |
| CN107181601B (en) | Flow reminding method and device | |
| WO2021147319A1 (en) | Data processing method, apparatus, device, and medium | |
| CN104657278A (en) | Client side performance evaluation method and system | |
| CN108234228B (en) | Method, device and system for acquiring network energy efficiency | |
| JP6454133B2 (en) | Quality analysis method, quality analysis apparatus, and network system | |
| CN109800079B (en) | Node adjusting method in medical insurance system and related device | |
| CN110401551B (en) | Internet health degree evaluation method and system based on S1 interface | |
| FI129839B (en) | Method for determining a performance indicator of a wireless telecommunications network | |
| CN105530219B (en) | Connection detection method and device | |
| KR101888693B1 (en) | Method and apparatus for controlling push notification message transmit cycle in push notification services by communication system | |
| CN115955698A (en) | 5G network slicing system based on smart power grid | |
| CN107347196B (en) | Method and device for determining cell congestion | |
| US11606413B2 (en) | Estimation apparatus, estimation method and program |
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 |