WO2017105362A1 - A detection system for data usage rate - Google Patents
A detection system for data usage rate Download PDFInfo
- Publication number
- WO2017105362A1 WO2017105362A1 PCT/TR2016/000181 TR2016000181W WO2017105362A1 WO 2017105362 A1 WO2017105362 A1 WO 2017105362A1 TR 2016000181 W TR2016000181 W TR 2016000181W WO 2017105362 A1 WO2017105362 A1 WO 2017105362A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- detection system
- data
- data usage
- rate
- usage rate
- Prior art date
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
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5061—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the interaction between service providers and their network customers, e.g. customer relationship management
- H04L41/5067—Customer-centric QoS measurements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0894—Packet rate
Definitions
- the present invention relates to a detection system for data usage rate which calculates ideal rate values expected to take place on customer basis in GSM networks and detects complaints to occur on customer basis in advance by comparing the calculated values with the past values.
- Calculation of rate is made on the basis of network members such as customer and cell, base station by trying to analyse signalling data. These rates measured cannot be interpreted because there is not any reference point. Only values occurring historically can be reported. In addition, it is also difficult to interpret due to the fact that the signalling which takes place in the network is too much. For example, the average rate value occurring in x position is calculated as a data such as 1.1 Mbps however a solution cannot be found on the subject of what does the said value mean as quality or what should be the necessary value. In addition to this, it cannot be commented on whether this value measured in a similar way is a good rate value or a bad rate value and experience of customers who are located in this position.
- the United States patent document no. US2012213254 discloses a system for scaling communication capacity in a telecommunication system. Frequency band information of a communication system is received within the said system. This system also determines the signal-to-noise ratio from the received signal. The said invention generates an ideal communication capacity by also adding the received band information, the signal-to-noise ratio, numbers of transmitting and receiving antennas.
- the said patent document is a study about lower-level signal information such as frequency and noise and it has no customer aspect.
- the United States patent document no. US2004185786 discloses a system for scaling service quality in utilization of wireless network.
- an ideal control value can be generated based on predictable parameters which are effective on operation of mobile link.
- situations requiring intervention are determined as a result of comparison with the ideal control value by taking some measurements at the same time.
- the said patent document is related to very low-level technical layers of signalling and it works on concepts such as noise, power, bit rate. It is only a technical work and it has no customer and terminal aspect.
- the International patent document no. WO2007044255 discloses a system on estimation of maximum bit rate between wireless network receiver and access point. Within the said system, maximum bit rate is estimated based on the signal quality information and the information of congestion occurring in the access point. In the second phase of the invention, the value obtained in the first phase is compared with the bit rates experienced in the past and it is corrected. Wireless network accesses are handled in the said patent document, service quality between modem-like access point and receiver is handled. Summary of the Invention
- An objective of the present invention is to realize a detection system for data usage rate which calculates the ideal rate to occur on customer basis by handling the rate as one of the quality criteria for data usage service in GSM networks.
- Another objective of the present invention is to realize a detection system for data usage rate wherein rate values that cannot be interpreted in the form of bad, medium, good can be interpreted and which makes calculation of ideal rate for the evaluated conditions.
- Another objective of the present invention is to realize a detection system for data usage rate which can carry out evaluation in customer detail and enables to directly reach real ideas of customers on the service of data usage provided to them by making comparison of ideal rate.
- Another objective of the present invention is to realize a detection system for data usage rate whereby improvement is significantly provided on the subjects of network planning and customer satisfaction by calculation of ideal rate.
- Another objective of the present invention is to realize a detection system for data usage rate which enables to take action in advance without a customer complaint occurs by making comparison of ideal rate with the rate experienced by the userwho is the customer.
- Figure 1 is a schematic view of the inventive detection system for data usage rate.
- the inventive system (1) essentially comprises:
- -at least one monitoring unit (2) wherein the signalling value occurring over the receivers included in the network members of the mobile operator are collected; -at least one conversion unit (3) which simplifies the received signalling value and converts them into the records of signalling call detail (signalling interface based detail record (XDR));
- -at least one data warehouse (4) wherein the records of call detail are kept; and -at least one ideal rate calculation unit (5) which calculates the constant value on the emerging combinations or probabilities by classifying the records kept in the data warehouse (4) and calculates the constant value in direct proportion to the square root of the data volume (throughput) used.
- the inventive system (1) also comprises at least one comparison unit (6) which serves the purpose of taking precaution before customer complaint occurs by comparing the ideal rate values and the rate values occurred.
- the monitoring unit (2) collects record about the rate value over factors such as network type (2G-3G); direction of data traffic (direction of loading or downloading); content type of data usage (video, audio, text, image, web browsing) and amount of data per object; the client's internet protocol type (HTTP-HTTPS) and the type of client's mobile device and the speed support by thereof.
- Mobile device of the customer is usually a mobile phone and it can also be any electronic device which can connect mobile GSM network by means of simcard.
- Support records can be recorded in the monitoring unit (2) in the form of not supported, 0-7,2 Mbps range, 7,2-14,4 Mbps range, 14,4-21,1 Mbps range and 21,1-63,3 Mbps range.
- the monitoring unit (2) collects the records about the data usage over sessions. During the data record, the monitoring unit (2) uses factors such as network type; direction of data traffic; content type of data usage and amount of data per object; the client's internet protocol type and the type of client's mobile device and the speed support by thereof. Each session has a characteristic which is owned for each factor recorded by the monitoring unit (2).
- the monitoring unit (2) uses the raw data which are obtained from the GN signalling protocol for determining the characteristic type of each session.
- signals are classified according to the specified factors and they are recorded in the data warehouse (4) after being converted.
- high number of combinations/probabilities occur in the classification transaction according to the characteristics carried out in the monitoring unit (2) and they are recorded in the data warehouse (4).
- the calculation unit (5) carries out trend and correlation analysis on the historical data.
- the calculation unit (5) excludes the standard deviation effect during the analysis and calculates a constant value for each combination/probability.
- the C value which is included in the formula used by the calculation unit (5) indicates the calculated constant value of the one for which combination the general characteristic of the session belongs.
- the calculation unit (5) makes calculations by using analytic model. Ideal rate value is calculated by using regression and correlation method inside the said analytic model.
- the calculation unit (5) can calculate the ideal rate value -which is calculated on session basis- on customer basis by going over the average value. In another preferred embodiment, the calculation unit (5) calculates the ideal rate value -which is calculated on session basis- on the basis of cell, base station, district, province, RNC (Radio Network Controller), BSC (base station controller), SGSN (serving GPRS support node) GPRS service support node)), GGSN(gateway GPRS support node) location and network elements by using the location information included in the signalling.
- RNC Radio Network Controller
- BSC base station controller
- SGSN serving GPRS support node
- GPRS service support node GPRS service support node
- GGSN gateway GPRS support node
- the calculated ideal rate value is feedback to the data warehouse (4) by the calculation unit (5).
- the comparison unit (6) ensures that mobile operator can take necessary precautions before customer complaint occurs by making comparison between the occurred and ideal rate value.
- the monitoring unit (2) collects the signals occurring in the GSM network by means of the receivers located on the network members.
- the collected data are simplified by the conversion unit (3) and they are recorded on the data warehouse (4) as signalling call detail records.
- Ideal rate values of the records included in the data warehouse (4) are calculated in the calculation unit (5) by using regression and correlation method inside the analytic model.
- the calculated values are feedback to the data warehouse (4) and the comparison unit (6) is enabled to make comparison by the occurred and ideal rate values.
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Environmental & Geological Engineering (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention relates to a detection system for data usage rate (1) which calculates ideal rate values expected to take place on customer basis in GSM networks and detects complaints to occur on customer basis in advance by comparing the calculated values with the past values.
Description
DESCRIPTION
A DETECTION SYSTEM FOR DATA USAGE RATE Technical Field
The present invention relates to a detection system for data usage rate which calculates ideal rate values expected to take place on customer basis in GSM networks and detects complaints to occur on customer basis in advance by comparing the calculated values with the past values.
Background of the Invention
Calculation of rate is made on the basis of network members such as customer and cell, base station by trying to analyse signalling data. These rates measured cannot be interpreted because there is not any reference point. Only values occurring historically can be reported. In addition, it is also difficult to interpret due to the fact that the signalling which takes place in the network is too much. For example, the average rate value occurring in x position is calculated as a data such as 1.1 Mbps however a solution cannot be found on the subject of what does the said value mean as quality or what should be the necessary value. In addition to this, it cannot be commented on whether this value measured in a similar way is a good rate value or a bad rate value and experience of customers who are located in this position. Due to the fact that GSM networks cannot comment on this matter, it is tried to have an idea by comparing the obtained rate value with the average rate values of a previous month or year. However, comparisons made with the past cannot give correct results due to the fact that user behaviours change day by day, because of changes experienced in technological field, emerging innovations and studies performed in GSM network.
The United States patent document no. US2011191094 discloses a system for determining expected throughput value in computing systems. Within this system, utilization power of the system can be detected based on physical adequacy of a computing system. It is ensured in the invention that estimations of workload which can be handled by the system are made by taking physical adequacy into consideration in order that the system is used effectively in overcoming workload. Computing systems are evaluated in standard network in the said patent document.
The United States patent document no. US2012213254 discloses a system for scaling communication capacity in a telecommunication system. Frequency band information of a communication system is received within the said system. This system also determines the signal-to-noise ratio from the received signal. The said invention generates an ideal communication capacity by also adding the received band information, the signal-to-noise ratio, numbers of transmitting and receiving antennas. The said patent document is a study about lower-level signal information such as frequency and noise and it has no customer aspect.
The United States patent document no. US2004185786 discloses a system for scaling service quality in utilization of wireless network. In the said system, an ideal control value can be generated based on predictable parameters which are effective on operation of mobile link. In the invention, it is stated that situations requiring intervention are determined as a result of comparison with the ideal control value by taking some measurements at the same time. The said patent document is related to very low-level technical layers of signalling and it works on concepts such as noise, power, bit rate. It is only a technical work and it has no customer and terminal aspect.
The International patent document no. WO2007044255 discloses a system on estimation of maximum bit rate between wireless network receiver and access point. Within the said system, maximum bit rate is estimated based on the signal quality information and the information of congestion occurring in the access point. In the second phase of the invention, the value obtained in the first phase is compared with
the bit rates experienced in the past and it is corrected. Wireless network accesses are handled in the said patent document, service quality between modem-like access point and receiver is handled. Summary of the Invention
An objective of the present invention is to realize a detection system for data usage rate which calculates the ideal rate to occur on customer basis by handling the rate as one of the quality criteria for data usage service in GSM networks.
Another objective of the present invention is to realize a detection system for data usage rate wherein rate values that cannot be interpreted in the form of bad, medium, good can be interpreted and which makes calculation of ideal rate for the evaluated conditions.
Another objective of the present invention is to realize a detection system for data usage rate which can carry out evaluation in customer detail and enables to directly reach real ideas of customers on the service of data usage provided to them by making comparison of ideal rate.
Another objective of the present invention is to realize a detection system for data usage rate whereby improvement is significantly provided on the subjects of network planning and customer satisfaction by calculation of ideal rate. Another objective of the present invention is to realize a detection system for data usage rate which enables to take action in advance without a customer complaint occurs by making comparison of ideal rate with the rate experienced by the userwho is the customer.
Detailed Description of the Invention
"A detection system for data usage rate" realized to fulfill the objectives of the present invention is shown in the figure attached, in which:
Figure 1 is a schematic view of the inventive detection system for data usage rate.
The components illustrated in the figure are individually numbered, where the numbers refer to the following: 1. System
2. Monitoring unit
3. Conversion unit
4. Data warehouse
5. Calculation unit
6. Comparison unit
The inventive system (1) essentially comprises:
-at least one monitoring unit (2) wherein the signalling value occurring over the receivers included in the network members of the mobile operator are collected; -at least one conversion unit (3) which simplifies the received signalling value and converts them into the records of signalling call detail (signalling interface based detail record (XDR));
-at least one data warehouse (4) wherein the records of call detail are kept; and -at least one ideal rate calculation unit (5) which calculates the constant value on the emerging combinations or probabilities by classifying the records kept in the data warehouse (4) and calculates the constant value in direct proportion to the square root of the data volume (throughput) used.
The inventive system (1) also comprises at least one comparison unit (6) which serves the purpose of taking precaution before customer complaint occurs by comparing the ideal rate values and the rate values occurred.
In one preferred embodiment of the invention, the monitoring unit (2) collects record about the rate value over factors such as network type (2G-3G); direction of data traffic (direction of loading or downloading); content type of data usage (video, audio, text, image, web browsing) and amount of data per object; the client's internet protocol type (HTTP-HTTPS) and the type of client's mobile device and the speed support by thereof. Mobile device of the customer is usually a mobile phone and it can also be any electronic device which can connect mobile GSM network by means of simcard. Support records can be recorded in the monitoring unit (2) in the form of not supported, 0-7,2 Mbps range, 7,2-14,4 Mbps range, 14,4-21,1 Mbps range and 21,1-63,3 Mbps range.
In the inventive system (1), the monitoring unit (2) collects the records about the data usage over sessions. During the data record, the monitoring unit (2) uses factors such as network type; direction of data traffic; content type of data usage and amount of data per object; the client's internet protocol type and the type of client's mobile device and the speed support by thereof. Each session has a characteristic which is owned for each factor recorded by the monitoring unit (2). The monitoring unit (2) uses the raw data which are obtained from the GN signalling protocol for determining the characteristic type of each session. In one preferred embodiment, signals are classified according to the specified factors and they are recorded in the data warehouse (4) after being converted. In one preferred embodiment, high number of combinations/probabilities occur in the classification transaction according to the characteristics carried out in the monitoring unit (2) and they are recorded in the data warehouse (4).
In one preferred embodiment of the invention, the calculation unit (5) carries out trend and correlation analysis on the historical data. The calculation unit (5) excludes the standard deviation effect during the analysis and calculates a constant value for each combination/probability. The calculation unit (5) multiplies the constant value found by itself by the square root of the data volume used net and calculates it in direct proportion in order to calculate the ideal rate. (Ideal rate=C(constant value) * square root (net data volume)).
The C value which is included in the formula used by the calculation unit (5) indicates the calculated constant value of the one for which combination the general characteristic of the session belongs. In the preferred embodiment, the calculation unit (5) makes calculations by using analytic model. Ideal rate value is calculated by using regression and correlation method inside the said analytic model.
In the inventive detection system for data usage rate (1), the calculation unit (5) can calculate the ideal rate value -which is calculated on session basis- on customer basis by going over the average value. In another preferred embodiment, the calculation unit (5) calculates the ideal rate value -which is calculated on session basis- on the basis of cell, base station, district, province, RNC (Radio Network Controller), BSC (base station controller), SGSN (serving GPRS support node) GPRS service support node)), GGSN(gateway GPRS support node) location and network elements by using the location information included in the signalling.
In one preferred embodiment of the invention, the calculated ideal rate value is feedback to the data warehouse (4) by the calculation unit (5). Thus, the comparison unit (6) ensures that mobile operator can take necessary precautions before customer complaint occurs by making comparison between the occurred and ideal rate value.
In the inventive detection system for data usage rate (1), the monitoring unit (2) collects the signals occurring in the GSM network by means of the receivers located on the network members. The collected data are simplified by the conversion unit (3) and they are recorded on the data warehouse (4) as signalling call detail records. Ideal rate values of the records included in the data warehouse (4) are calculated in the calculation unit (5) by using regression and correlation method inside the analytic model. The calculated values are feedback to the data warehouse (4) and the comparison unit (6) is enabled to make comparison by the occurred and ideal rate values.
Within these basic concepts; it is possible to develop a wide range of embodiments of a detection system for data usage rate (1), the invention cannot be limited to examples disclosed herein and it is essentially according to claims.
Claims
1. A detection system for data usage rate (1) essentially comprising
-at least one monitoring unit (2) wherein the signalling value occurring over the receivers included in the network members of the mobile operator are collected;
-at least one conversion unit (3) which simplifies the received signalling value and converts them into the records of signalling call detail (signalling interface based detail record (XDR));
-at least one data warehouse (4) wherein the records of call detail are kept;
characterized by
-at least one ideal rate calculation unit (5) which calculates the constant value on the emerging combinations or probabilities by classifying the records kept in the data warehouse (4) and calculates the constant value in direct proportion to the square root of the data volume (throughput) used.
2. A detection system for data usage rate (1) according to Claim 1 ; characterized by at least one comparison unit (6) which serves the purpose of taking precaution before customer complaint occurs by comparing the ideal rate values and the rate values occurred.
3. A detection system for data usage rate (1) according to Claim 1 or 2; characterized by the monitoring unit (2) which collects record about the rate value over factors such as network type (2G-3G); direction of data traffic (direction of loading or downloading); content type of data usage (video, audio, text, image, web browsing) and amount of data per object; the client's internet protocol type (HTTP- HTTP S) and the type of client's mobile device and the speed support by thereof.
4. A detection system for data usage rate (1) according to any of preceding claims; characterized by the monitoring unit (2) which collects the records about the data usage over sessions.
5. A detection system for data usage rate (1) according to Claim 4; characterized by the monitoring unit (2) which uses the raw data obtained from the GN signalling protocol for determining the characteristic type of each session.
6. A detection system for data usage rate (1) according to Claim 5; characterized by the data warehouse (4) wherein signals are recorded after being classified and converted according to the specified factors.
7. A detection system for data usage rate (1) according to any of preceding claims; characterized by the calculation unit (5) which carries out trend and correlation analysis on the historical data.
8. A detection system for data usage rate (1) according to Claim 7; characterized by the calculation unit (5) which calculates a constant value for each combination/probability by excluding the standard deviation effect during the analysis.
9. A detection system for data usage rate (1) according to Claim 8; characterized by the calculation unit (5) which multiplies the constant value by the square root of the data volume used net C(constant value) * square root (net data volume) and calculates it in direct proportion in order to find the ideal rate.
10. A detection system for data usage rate (1) according to any of preceding claims; characterized by the calculation unit (5) which calculates the ideal rate value -that is calculated on session basis- on customer basis by going over the average value.
11. A detection system for data usage rate (1) according to any of preceding claims; characterized by the calculation unit (5) which calculates the ideal rate value - which is calculated on session basis- on the basis of cell, base station, district, province, RNC (Radio Network Controller), BSC (base station controller), SGSN (serving GPRS support node) GPRS service support node)), GGSN(gateway GPRS
support node) location and network elements by using the location information included in the signalling.
12. A detection system for data usage rate (1) according to any of preceding claims; characterized by the calculation unit (5) which feedbacks the calculated ideal rate value to the data warehouse (4).
13. A detection system for data usage rate (1) according to Claim 12; characterized by the comparison unit (6) which ensures that mobile operator can take necessary precautions before customer complaint occurs by making comparison between the occurred and ideal rate value.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TR2015/16073 | 2015-12-15 | ||
| TR201516073 | 2015-12-15 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2017105362A1 true WO2017105362A1 (en) | 2017-06-22 |
Family
ID=58057207
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/TR2016/000181 WO2017105362A1 (en) | 2015-12-15 | 2016-12-14 | A detection system for data usage rate |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2017105362A1 (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040185786A1 (en) | 2001-04-25 | 2004-09-23 | Ramin Mirbaha | Quality of service state predictor for and advanced mobile devices |
| WO2007044255A1 (en) | 2005-10-13 | 2007-04-19 | Microsoft Corporation | Probabilistic estimation of achievable maximum throughput from wireless interface |
| IE20070438A1 (en) * | 2006-06-21 | 2008-02-20 | Bua Ltd | Mobile network user activity monitoring |
| US20110191094A1 (en) | 2010-01-29 | 2011-08-04 | John Michael Quernermoen | System and method to evaluate and size relative system performance |
| US20120213254A1 (en) | 2009-11-13 | 2012-08-23 | Panasonic Corporation | Communication capacity evaluating apparatus, radio relay apparatus and communication capacity evaluating method |
| US20140179266A1 (en) * | 2012-12-21 | 2014-06-26 | Verizon Patent And Licensing Inc. | Shared data monitor |
-
2016
- 2016-12-14 WO PCT/TR2016/000181 patent/WO2017105362A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040185786A1 (en) | 2001-04-25 | 2004-09-23 | Ramin Mirbaha | Quality of service state predictor for and advanced mobile devices |
| WO2007044255A1 (en) | 2005-10-13 | 2007-04-19 | Microsoft Corporation | Probabilistic estimation of achievable maximum throughput from wireless interface |
| IE20070438A1 (en) * | 2006-06-21 | 2008-02-20 | Bua Ltd | Mobile network user activity monitoring |
| US20120213254A1 (en) | 2009-11-13 | 2012-08-23 | Panasonic Corporation | Communication capacity evaluating apparatus, radio relay apparatus and communication capacity evaluating method |
| US20110191094A1 (en) | 2010-01-29 | 2011-08-04 | John Michael Quernermoen | System and method to evaluate and size relative system performance |
| US20140179266A1 (en) * | 2012-12-21 | 2014-06-26 | Verizon Patent And Licensing Inc. | Shared data monitor |
Non-Patent Citations (2)
| Title |
|---|
| MITRA DEBASIS ET AL: "The stability of best effort and Managed Services in the Internet, and the role of application creation", 2014 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), IEEE, 27 April 2014 (2014-04-27), pages 589 - 594, XP032613922, DOI: 10.1109/INFCOMW.2014.6849297 * |
| NARMAN HUSNU S ET AL: "Joint and partial carrier components assignment techniques based on user profile in LTE systems", 2015 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), IEEE, 9 March 2015 (2015-03-09), pages 983 - 988, XP032786553, DOI: 10.1109/WCNC.2015.7127603 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8681622B2 (en) | Policy and charging rules function (PCRF) and performance intelligence center (PIC) based congestion control | |
| US9544800B2 (en) | Adaptive monitoring for cellular networks | |
| US9026851B2 (en) | System and method for intelligent troubleshooting of in-service customer experience issues in communication networks | |
| EP2832140B1 (en) | Adaptive traffic management in cellular wireless networks | |
| US9344908B2 (en) | Systems and methods for quality of experience measurement and wireless network recommendation | |
| US8964549B2 (en) | Method and apparatus for managing wireless communication based on network traffic level | |
| US9015312B2 (en) | Network management system and method for identifying and accessing quality of service issues within a communications network | |
| US9462486B2 (en) | Method and device for classifying wireless data service | |
| US11743762B2 (en) | Method and system for managing mobile network congestion | |
| CN101189895A (en) | Abnormality detecting method and system, and upkeep method and system | |
| CN104995871A (en) | Adapting PCC rules to user experience | |
| EP3251251B1 (en) | System and method for controlling an operation of an application by forecasting a smoothed transport block size | |
| US20160227434A1 (en) | System and method for mitigating network congestion using fast congestion detection in a wireless radio access network (ran) | |
| WO2022123532A1 (en) | Real time protocol-based cell analysis | |
| CA2975300A1 (en) | Wireless video performance self-monitoring and alert system | |
| WO2020085254A1 (en) | Wireless lan communication quality estimation method, wireless lan communication quality estimation system, information collection device, and wireless lan communication quality estimation device | |
| WO2020085252A1 (en) | Wireless lan communication system, access point communication quality determination method, and information collection server | |
| WO2017105362A1 (en) | A detection system for data usage rate | |
| EP4064756B1 (en) | Bandwidth throttling in a radio access network | |
| JP7259937B2 (en) | Information processing device, communication setting method, and program | |
| KR101694403B1 (en) | Method And Apparatus for Controlling Service Quality by Using Charging Information | |
| EP3085018B1 (en) | Distributed saturation detection method for wireless network nodes | |
| CN106686625B (en) | Method and base station for detecting adjacent cell interference | |
| KR102317102B1 (en) | Controlling Method for Traffic and device supporting the same | |
| EP4037367A1 (en) | Quality monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16838012 Country of ref document: EP Kind code of ref document: A1 |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 16838012 Country of ref document: EP Kind code of ref document: A1 |