EP2807597A2

EP2807597A2 - Method for multilateral and thorough detection and improvement of the mobile service quality with the aid of customer terminals giving feedback to the customer

Info

Publication number: EP2807597A2
Application number: EP13707802.8A
Authority: EP
Inventors: Roland Schmidt
Original assignee: Linz Joachim
Current assignee: Linz Joachim
Priority date: 2012-01-23
Filing date: 2013-01-22
Publication date: 2014-12-03
Also published as: WO2013110261A2; DE112013000658A5; WO2013110261A3; DE102012001101A1

Abstract

The invention relates to a method according to which the key parameters of the service quality of a mobile network are detected and evaluated according to varied aspects of thoroughness. The detected data include not only the GPS position but also in particular technical data about the mobile network, status data about the mobile terminal, events, hit lists of the downloaded and installed apps, the opinion of the mobile telephone customers about the perceived service quality, and the response of the customers to questionnaires from the mobile network operator. Analytical filters analyse the measured values and event data according to the understanding of the particular user group in the organisation of the mobile network operator. The method supports the most varied departments within the organisation of a mobile network operator by means of data on service quality. Said departments include wireless network planning, customer service, sales, marketing, etc. Messages about deficiencies of the mobile telephone service involve the extent of the customer group concerned. The customers of the mobile network operator experience an immediate improvement in service quality due to direct feedback with regard to the criticality of the apps that are installed on the respective terminal. Said improvement encourages customers to make increased carefree use of new apps, since the method considerably reduces the risk through malicious apps.

Description

description

Method for multilaterally and holistically detecting and improving the quality of mobile services using customer terminals with feedback to the customer.

Current situation The goal of providing mobile network coverage is to enable as many customers as possible at the places they are located to have the possibility of using mobile devices such as cell phones, car telephones or PC cards (in the

Notebook), to be reached by phone, or to take advantage of data services such as Internet access. The biggest investment is in the radio access networks. The sophisticated technology of the base stations is by no means the main item of the cost. Here are more the location costs: structural engineering for the antenna support, preparation of the premises for the base stations with electricity and possibly with air conditioning, and last but not least

Location rent. These location costs can exceed those for the supposedly expensive technology many times over. Another cost factor is the search for suitable locations with the means of radio planning and radio planning tools. The radio planning is not only needed at the beginning, if the network is to be built, but also if it is to be expanded and expanded. Enlargement can mean providing additional geographic areas or increasing the capacity within already served areas so that gaps in accessibility can be reduced and / or more mobile customers can communicate at the same time.

Because of the high financial resources involved in grid expansion, the radio planning needs estimates of where the customers will be and when. The better this is known, the better compromises can be found, with the aim of maintaining an economically optimized network - which is also in the interest of the customer. It goes without saying that the pattern of movement of a single customer is not of interest here, but only the statistical distribution of the individual "Customers" is in demand - and also the temporal change of the statistical accumulations during the course of the day and the week. In order to enable demolition-free paths, the "currents" between the cluster patterns are also of interest. Here many customers may be affected by crashes even though there are never many customers at the same time, eg on a (fast) road section.

So far, one has the specifications for radio planning with the means of

Market survey - especially at the time of the network build-up. After a network is established, one tries to verify the radio propagation models underlying radio planning, which are dependent on the topology (e.g., mountains and valleys) and the morphology (e.g., forest and habitat types) of the radio propagation area. The setpoint and actual values of the radio coverage may well deviate - due to method-related inaccuracies of the corresponding databases and due to simplifications in the

Radio propagation models.

The verification is carried out by means of so-called drive tests. For this purpose, a vehicle is equipped with measuring devices, which runs off certain routes and measures the field strength and the respective GPS position. The data will be with the

Radio planning compared. In addition, a call generator can also be added to the equipment which constantly sets up calls to an automatic answering device or data connections to a response device and evaluates the success of the attempt and possibly the quality of the connection or transmission. The possibly necessary change of radio parameters (settings) at the base stations, in case of necessary corrections, are among the more cost-effective measures. Having too many base stations in the field is much more serious. This also applies to base stations on less effective or unnecessarily expensive ones

Locations. Cells whose area is only a very small proportion of

Mobile customers are visited / used, are questionable in their efficiency - where the knowledge of the paths and whereabouts of the customers with classic means are not or not with acceptable effort to experience. In order to capture the essential routes of customers traveling on foot, this method has been extended. With the progress in the miniaturization of the necessary equipment (field strength meter, GPS receiver,

Recording and control equipment, etc.) a "backpack version" was used as equipment for a drive test "runner". Here, the tester goes on foot in predetermined ways, while his equipment (in the backpack) more or less automatically perform the measurements. Also, the above record of the more practical end-to-end quality checks are hereby possible and will be carried out. The results are assigned to the GPS positions.

Despite the high expenditure which is operated here, also with the

"Pedestrian method" is not captured quite realistically, where customers in the

Essentially move and stop. In particular, the so-called in-house supply (in apartments, offices and department stores) is not covered. With the means that are available to the current network operation, you can determine which cell carries how much traffic and what demolition frequencies and reasons exist. In which area of the cell the customers are with the good cases and in which the problem cases, can hardly be determined with reasonable effort. The number of mobile customers has reached in many countries in the range of 100% of the population. The networks still need to be expanded and / or optimized as new applications are added. New network technologies such as LTE are expected to meet the needs for broadband communications. Unlike voice services, which are often used "on the move", broadband applications (e-mailing, surfing the internet or googling, etc.) are more likely to be semi-stationary. This does not necessarily mean that the same device is always used at the same place. One speaks rather of nomadic

Application: the customer moves from A to B and uses his mobile

Most devices return only after arrival at B. The classic drive tests (even those with the pedestrian) do not capture user profiles (where is phoned and where is surfing) and therefore can not make very good statements about whether the (stationary) location A or B is well supplied in this regard - especially if A and B are inside buildings. Knowing more about the ways in which customers move, and the places and places they are in and whether they are talking (voice) or surfing the Internet, would make network expansion or optimization much more precise align economic goals. This would be one

at the same time improve customer comfort, increase customer satisfaction and sales.

The network infrastructure is the main part of the mobile service. Of the

Mobile service, however, is what mobile subscribers see and what they ultimately pay for. Where the customer most misses the mobile service need not necessarily be where the power supply has a gap. Whether the radio network is satisfied with the planned field strengths or data transmission speeds or the offered speech qualities can only be approximated from laboratory tests under more or less artificially created conditions.

Customer perception changes over time. What was perceived as good voice quality in the early days of GSM is no longer judged as good today. Different customer groups have different expectations in what they perceive as "service quality." Data transmission, which was offered at the beginning of 3G, is considered slow today, and it is currently being attempted to identify user experience through a few reference groups The lacking relevance of these events is also criticized for the lack of binding to current events and location - editable examples with local and temporal relevance quickly disappear from the customer's perspective.

The emergence of smart phones has brought the usefulness of the apps into the consciousness of mobile subscribers. There are now hundreds of thousands of apps for many areas of life such as lifestyle (control of their jogging performance, "travel advisors", etc.), health care (heartbeat monitoring throughout the day, "Find Grandpa", etc.), and also business Applications (travel expenses billing, logistics applications, etc.).

The usefulness of the apps is unfortunately clouded by a few malicious apps that take over the control of the microphone and / or the camera of the phone and spy on the environment, or secretly send premium SMS at the expense of the unsuspecting mobile customer, or transfer personal data unnoticed by the customer on dubious server or make public on the Internet. While these apps are rare, they keep customers from using apps at all, or they are reluctant to download and install such apps. Overall, this affects the perception of the quality of service of the mobile, although the mobile operator typically has nothing to do with the apps.

Improvement The inventive method described herein is in the fields of radio planning and quality improvement in mobile networks, mobile voice and data services, and telecommunications in general.

According to the inventive method described here are the

Key parameters that define the different perspectives of the service quality of a mobile network are collected and evaluated according to various aspects of the holistic approach. In particular, the recorded data includes the GPS position as well

Technical data on the mobile network (e.g., field strength, cell identity,

Consumption data for voice and data in incoming and outgoing

Direction, etc.),

Condition data via the mobile terminals (terminals) such as e.g. Battery level, "Low Memory Alarm",

• events such as Disconnections, field strength falls below one

certain level,

• List of downloaded and installed apps and traffic generated by the app in both up and down direction with the display on or off (often without the customer's knowledge and without knowledge of the mobile operator), • the opinion of the mobile customers (customers) to the perceived quality of service can spontaneously via a pre-selected selection menu from the customer to his

Mobile network operators (MNO) are sent,

• Reports of customers to anomalies of the mobile service can also spontaneously in a free text with the help of a constantly available and

send user-friendly menu to the MNO,

• the customer 's consent to the event (event) that the terminal application (TA) has suddenly detected in the background

Want to send mobile network operators (MNO),

· Customer's answer to questionnaires sent by the MNO via the procedural server application (SA) to the TA of its customers' terminals.

Here, measured values and events are geographically assigned to finer rasters than the cell size. This allows e.g. the identification of interferences, which can also occur in small areas of a cell. In particular, this shows that it is always measured where the customer is. More precisely: right there and only where the customer is - these are the only relevant geographic areas. Thus, reports of deficits of the mobile service are implicit with the

Customer traffic connected. This allows the MNO to immediately estimate the number of affected customers and thus the commercial relevance of a possible measure - quite unlike traditional methods.

While the acquisition of the raw data with the TA takes place on the terminals, the evaluation of the data is preferably carried out by the SA on the server after the TA has uploaded the data (also data sets or multiplets) to the SA. Although some (pre-) evaluation is also possible through the TA, the evaluation is relocated as far as possible to the server, at least as long as and to the extent that thereby the battery and processing resources can be spared on the terminal. After all, the customer should not be in the

Use of his terminal are affected - not even by shorter battery life. Although the customer benefits from the quality improvement, it should be affected as little as possible by recording the actual data of the quality status. This also applies to his right to data protection, to which special attention is given with this quality of the monitoring procedure. Therefore, the use of the method under DPMA No. 10 2010 047 117 A1 ("Method for protecting personal data in network monitoring with customer terminals", same inventor) for integration into the much more comprehensive overall method presented here is provided here.

Carefree use of apps

In addition, the mobile customer is given an immediate added value with the method presented here, which visibly improves the quality of the mobile service to the customer. The customer is warned of malicious apps that can spy on him or even cause monetary damage. This novel service will make it easier for the customer to use useful apps, especially the decision to download and install. The vast majority of apps are useful after all. The more frequent, because carefree use of the

predominantly useful apps not only creates an improvement in the

Quality, but also a real improvement by reducing the risk.The combination of this direct service with the other quality monitoring functions provides an immediate compensation for one or the other contribution that the customer makes to the quality assessment - even if the latter does not Effort is kept low, and at least indirectly benefit the customer.

The TA screens all applications (apps) on the device in question and enters them in a list, including their authorizations (control via microphone or camera, access to personal data, generation of calls or sending SMS, Internet access, etc.). Furthermore, the peer addresses for external communication are continuously determined for each application and entered in this list. The TA then sends the list to the SA so that it analyzes in particular the peer addresses whether they lead to known suspicious servers.

The result is returned to the TA for their apps. This includes an overall rating for each app. The customer hereby receives information about their criticality for each individual app, e.g. in the form of a color code. When clicking on a single app in this list, the customer will be given more details why, e.g. An app is classified as particularly critical. In addition to further details on all authorizations, the customer also receives an instruction for the critical apps, which can be used, for example. The customer is also supported by the TA in the deinstallation, which is particularly valued by less experienced customers.The decision to follow the action recommendation, the customer must meet, he himself is not patronized by the TA.

The same under the DPMA number 10 2011 117 855 A1 ("method for assessing and mitigating risks by smart phone applications"; same inventors;

Publication is expected on 8.5.2013) registered procedures focuses on the collection and analysis of apps and on the

Instructions for the customer. It is incorporated into the much more comprehensive overall method present here.

User of the procedure

Quality affects almost all areas of a service organization such as a mobile network operator. The effort to capture the need for radio coverage is significant and yet only a small part of the overall quality with all of them

Features. The present inventive method serves very different areas within an MNO organization:

• radio network planning,

• radio network optimization,

• customer service, Terminal purchasing,

Wholesale sales,

Management of wholesale products (e.g., Mobile Centrex, Mobile VPN, or the like),

Marketing.

Many questions of the various departments and areas were previously not even to answer with reasonable effort. This includes the question of where there are radio coverage gaps, and which would bring an improvement for most customers if they were supplied. In other words, which improvement measure recovers the invested capital the fastest.

Drive tests can be used to find coverage gaps, but only at random.

In particular, it can not be used to determine which gaps are most often traversed by customers, driven through or otherwise visited. Moreover, the answers provided by drive-test equipment are understandable only to a few of the MNO staff because the interpretation of the results is very deep

Require knowledge of radio technology and protocol level of the air interface.

Analytic filter

The present method contains so-called analytic filters, which give answers specific to the particular question in the "language" of the respective department.Two analytic filters are exemplified in claims 4-7.

Other filters (not detailed here) analyze the data according to claim 9, to make a statement for the customer service whether a device is defective or if a handling error of the customer is present or if the device must even be sent to the manufacturer. The procedure simplifies in this case the

Communication with the customer, who often can not adequately answer technical questions about the customer service requested. In such a case, the customer service would recommend the customer down the TA down (the how and the from-where the customer of the customer service, for example by SMS be notified if the customer should not have the TA on his device). This can often be used to avoid more complex return exchanges.

From these and other data (see claim 1), other filters analyze whether e.g. a certain type of device regularly produces higher error rates than others. This can be used by the terminal device purchase as a handling instruction or to assign its claims to the manufacturer.

With a cell usage AF not explained here, the part of a cell visited / used by customers can be determined. For example, if it results in using only the edge of a particular cell, it can be deduced

Derive optimization measures, such as the supply of this little

Area element by adjacent better-used cells, possibly by other settings of the respective base stations or by the use of repeaters to expand the neighboring cells.

Claim 8 lays the foundation for another analytic filter for the management of wholesale products. In advance, the sales department can use another analytic filter (not detailed here) to extract data from

To analyze claim 1, so that the degree of supply and the frequency of error events are checked at the relevant sites of the requesting customer. The sales department can then assess immediately whether the so-called major customer can be offered a so-called service level agreement (SLA) with the required service guarantees for its locations.

The analytic filters of the method (not just the ones claimed here) are aimed

in particular, the appropriate analysis of the data, within the known paradigms of the questioning department (user).

Femto cells are mobile base stations with a very small coverage area (eg an apartment, an office, or a detached house). They are typically over the private broadband connection (eg DSL) of the respective user connected. However, the femto cells use the frequencies of a particular mobile operator and thus contribute to the power supply. A femtocell may be specifically configured for the user's terminal providing the broadband connection (and possibly even paid for) - ie other customers of the network operator can not use that cell in this case. However, the field may also penetrate into areas outside the intended coverage area (eg, the street or walkway in front of the office). These femtocells are not planned by the (pre-planning) radio network planning of the respective network operator - the installation site is not or only insufficiently known. The method presented here provides an economical solution for recording the field strength and also the cell identity - both in the public and non-public areas.

Management of measurement campaigns

The SA allows the definition of measurement campaigns via a graphical user interface. This can be used to define the geographic area to be measured. In addition, the types of devices to be included in the measurement campaign and also the network types (GSM, UMTS, HSDPA, etc.) whose quality parameters are to be measured can be specified.

Equivalence of parameter sets

The parameters recited in the claims are exemplary subsets of possible parameter sets that would also be useful to the inventive method presented herein. One of the underlying tenets of this choice is the accessibility of parameters / status indicators / event data through so-called APIs accessible by apps from their normal run-time environment without trick programming. To get to other sizes that are not available through an API, you would need to modify the OS. However, this could compromise the unrestricted usability of the terminal under the "normal" user manual, so that the user may not be able to participate in certain OS upgrades, or that under certain circumstances these upgrades may render the device unusable for the user possibly to the network operator

must be returned, or even sent to the manufacturer. Since all this would affect the perceived quality of service of the user, the nature of the method presented here focuses on that of

Terminal manufacturers currently available through APIs commonly made sizes.

Some air-interface protocol elements are captured using traditional drive-test equipment and, otherwise processed, yield results that are achieved using this novel method through other parameters.

The method outlined here utilizes the power of statistics and the fact that the data collected here are relevant to the geographic spots that are visited by customers - that is, coincident with geographic customer requirements. This enables at least macroscopic phenomena to be detected, e.g. Disconnections with local clusters in problem areas of the network.

Even with a few variables, such as field strength, cell identity, disconnect event, and problem zone location, you can statistically differentiate between interference problems, an unoccupied area, and faulty hand-over tables difficult cases none

Allow diagnosis, it can be determined in which very limited space, for example. must be measured in more detail with classic drive test equipment. Only on the basis of the results of this process will drive-test equipment be used very efficiently in the future.

Claims

A method for multilaterally and holistically detecting and improving the quality of mobile service using customer terminals with feedback to the customer.

1. A method for detecting and evaluating the quality-determining parameters of the voice and data services and the mobile network of a mobile network operator using an arrangement consisting of a terminal application (TA) in the form of an app on the terminals of the customers of the network operator in the execution of smartphones or Trays and a network-side server application (SA) of which the existence of commands for measurement or survey campaigns by the TA anonymously requested, and if such a command exists, this is anonymously downloaded to the SA at the request of the TA, and is checked by the TA for the execution conditions, whether these are met geographically and / or in time, and / or whether a start-event dependency is to be taken into account when carrying out the campaign's campaigns, and / or whether an event observation and a associated event registration, and in the event of the conditions being met, the TA mi t the implementation of the actions thus specified begins and thereby creates one or more records with detected parameter multiplets exclusively from the data provided by the terminal API or device drivers or customer input data, and then evaluates over the mobile network or via a WLAN to a network-side server with a device for receiving, statistical processing and evaluation, and for

anonymized storage of records from the TA of many customers of the mobile network operator, for later analysis of the data, such that the TA optionally checks whether the mobile terminal is in the home network or in a foreign network under international roaming conditions such that the TA is in the latter In case the home network operator prescribes the instruction in such a way that the transmission of the records is made or not allowed, the terminal is back in the home network and the position of the measurement and detection actions is determined according to GPS and assigned to the respective data set or in case of insufficient GPS signal the Position is determined statistically more accurately than by specifying the identity and location of the cell in which is measured or recorded, and none

mobile network-based triangulation method is applied by

marked that

a) include the multiplets collected by the TA, which include time, cell identity, location area, network identity, network type, neighborhood cells, field strength, transmitted data volumes, voice minutes volumes and the location of these measurements, as well as the device specific ones

Battery status, charger connection indicator,

Data connection status, call connection status, indicator for

Connection quality with the time of change, status list of

Applications, currently used applications, display active status, device status change indicator with time of state transition, memory info, SD card status, device identifier, SIM identifier, manufacturer,

Device type, OS version, Wi-Fi contact indicator, optional SSID of the connected WLAN, number of running tasks, number of running services, and the state of the indicator for low-memory alarm, so that the data just mentioned completely in the Background without the intervention of the respective mobile customer are recorded, such that the detection of a

Campaign management device is arranged so that by means of a user interface, the time frame in which is to be measured, the geographical area in which to be measured, the type of terminal to be measured, the network type whose parameters are to be measured and, optionally, a subset of the measurement parameters and / or device-specific status data to be acquired for the measurement campaign can be defined, and the terminals reporting to the server accept these instructions from the measurement campaign definition for execution in such a way that the Report to the server at specified times or by random number generator times, and / or

b) the TA events in the form of an event indicator, which names the respective event, such that the event is a disconnection, or bad connection quality, or a field strength underrun, or

Cell change, or a device restart, or a transfer activity an application, or a Wi-Fi contact, or an expiring timer, or rebooting or installing or uninstalling an application is recorded with the respective time stamp and as a single event report or together with other event reports to the server application to another Evaluation transmits such that the following additional diagnosis-supporting data are transmitted along with these data, the transmitted data volume, voice minutes, optionally the data transmission speeds in up and down direction, such that they are automatically recorded in the background without the intervention of the mobile radio customer and optionally with additional short past history data of the number Z of the previous positions with the corresponding cells visited there, their identities and location areas, associated with the respectively measured field strength and the time stamp of the cell transition of the TA as history multiplets stored and with de n event data are transmitted so that the history multiples during a pre-configurable by the mobile network operator period P, in which the also settable number Z of measurements falls, such that the oldest history multiplet after the expiration of time P with the respective current multiplet rolling overwrites, and / or

a quality of service from the point of view and the perception of the respective mobile customer with the help of input from the customer is detected, so that the inputs on one for spontaneous messages from

Mobile customers to his mobile operator created input menu with predefined input buttons or selection points is done so that the customer tells the mobile operator that he is at the current location and the current time, which are also recorded, no network available, or he just has experienced a connection break, or it is only too slow data rate available, or the connection quality is insufficient, or that the customer tells the mobile network operator in an optional input field by freely designable text more details, such that the customer perceived quality with the technical Measured values, which are also currently recorded in the background according to point a) and transmitted with the history data from b) immediately or after existing network to the server according to the method, such that with a there located procedural analysis tool the data that the

Express customer experience with the measured in the background objective technical parameters are processed so that with future measurements of the technical parameters, even without the input efforts of the mobile customer customer satisfaction is derived from this, and / or

d) suddenly occurring events in the background detected by the TA and

be detected, so that the mobile customer is informed and / or this event data is reported to the server application without consent or with the consent of the mobile customer, such that the mobile customer further predetermined text information and / or

enters customizable text and / or optionally agrees to the addition of his telephone number, device identifier and SIM identifier for the possibility of consultation by the mobile network operator's after-sales service, and / or e) data is transmitted to the server such that that data is the services - reproduce quality from the point of view and the perception of the respective mobile customer, so that they are recorded with the help of input from the customer, so that the inputs are the answers to a previously anonymous or person group related provided by the mobile network operator to the TA of his customers electronic Questionnaire created using a menu-driven interface as a single or multiple selection form and when reporting devices to the server anonymously assigned to the respective TA or assigned to the TA depending on terminal type or customer categories or by location such that the replies transmitted to the server location data are statistically evaluated or checked for differences in customer perceptions of these categories, the electronic questionnaire presented to the customer is either immediately offered to answer the customer by the network operator adjustable conditions or after, the display of his device was turned on or after a time QT after turning on the display or after a call, or after a disconnection, or after changing one of the following indicators: charger connection indicator,

Data connection status, call connection status, indicator for Connection quality, status list of applications, currently used

Applications, Display Active Status, Device Status Change Indicator, SD Card Status, OS Update Indicator, Wi-Fi Contact Indicator, Number of Running Tasks, Number of Running Services, Low Memory Alarm; in such a way that the mobile radio customer either begins to answer the questions in each of these cases immediately or optionally chooses the resubmission at a later time or at a later event, and

f) the TA records all applications present on the terminal with their identities in a dynamic table, and the requested by the respective application access rights to operating system services, and the traffic caused by the respective application, separated according to direction and optionally further distinguished according to whether the traffic was transmitted with the display switched on or off, in the table corresponding to the respective application enters accordingly, and enters the respectively relevant for the traffic peer addresses, and the table contents to the server application for

Send analysis, so that the server application in a response to the TA the table with a rating on the criticality of the respective

Application provides such that the mobile radio customer via this table an immediate feedback on the evaluation of each of his

Receives applications, so in the case of a malicious application this is visible to the mobile phone customer, and he also be notified of details about the concern of the corresponding communication links, such that the corresponding note also a

Includes a recommendation for action, such as whether to uninstall the application in question, and in such a way that the mobile radio customer benefits as early as possible from the service quality improvement resulting from its participation in the quality detection and improvement activities,

and additionally on the server, immediately after the anonymous uploading of the data initiated by the TA, a data protection algorithm is started which, before the semipermanent storage, processes all data in such a way that it can no longer be deduced from the respective customer with its terminal participated in the quality data collection, such that the order of acquisition of the data collected on its terminal, can no longer be produced, so that a tracing the path of each customer can not be made.

2. The method according to claim 1, characterized in that the server

loaded series of measurement multiplets prior to anonymization on sequences InSeq that include statements about in-house and / or in-tunnel measurements, such that each InSeq is characterized by being an uninterrupted sequence of measurement multipets which contain no GPS coordinates produced by direct measurements, and such that each InSeq is initially bounded by a measurement multiplet MMA, which is the last preceding measurement multiplet containing measured GPS coordinates, and such that the InSeq at the end is bounded by a measurement multiplet MME which is the earliest succeeding measurement multiplet containing measured GPS coordinates, and such that each measurement multiplet of an InSeq is procedurally provided with attributes InA such that it is generated as follows and be assigned to:

a) a distance Dae between the distance represented by the GPS coordinates in MMA and MME and a difference Tae of the times at which MMA and MME were detected, and the following attributes from point b) such that they are not evaluated and the InSeq multiplets are not assigned in case the absolute value of Dae is an adjustable quantity Dmax

exceeds and / or the absolute value of the quotient of Dae and Tae exceeds an adjustable value Vmax;

b) the GPS coordinates of MMA and MME, and

c) the number of preceding multiplets up to and including MMA and / or the difference of the times at which the MMA and the measurement multiplet processed according to the method were measured, and / or

d) the number of subsequent multiplets until exclusively at MME and / or the difference between the times at which the measurement multiplet processed according to the method and the MME were measured, and / or

e) a list containing an adjustable number Ca of cell identities, such that, starting from the current InSeq multiplet in the direction of MMA, the up to Ca cell identities are entered, which were respectively detected in the following in the direction of MMA multiplets and themselves different from the cell Identity that has been captured in the current Muitiplet and does not appear elsewhere in the list, and / or

f) a list containing an adjustable number Ce of cell identities, such that, starting from the current InSeq Muitiplet in the direction of MME, the up to Ce cell identities are entered, which were respectively recorded in the MME following multiplets and themselves differ from the cell identity that was captured in the current Muitiplet and does not yet appear elsewhere in the list, and / or

g) a time TWLANa during which the terminal had contact with a WLAN such that TWLANa is evaluated and assigned only if in the current muitiplet the mark indicating the contact with the WLAN and / or an SSID was detected is set, such that TWLANa the

Time difference that lies between the current Muitiplet and the most upstream MMAiplet, to which, without interruption, all intermediate multiplets have set the WLAN mark, and if the prerequisite for the assignment of the TWLANa attribute, then becomes optional the number Wa of SSID is counted and assigned such that, starting from the current InSeq Muitiplet in the direction of MMA, all InSeq multiplets are counted that have uninterrupted detected an SSID equal to the SSID of the current multiplet, and / or

h) a time TWLAN during which the terminal had contact with a WLAN such that TWLANe is evaluated and assigned only if in the current muitiplet the mark indicating the contact with the WLAN and / or an SSID was detected is set, such that TWLANe the

Time difference that lies between the current Muitiplet and the most directional MUIPIPLE, up to which, without interruption, all intermediate multiplets have set the WLAN mark, and if the condition for assigning the TWLANe attribute exists, then becomes optional counting and allocating the number We of SSID such that, starting from the current InSeq Muitiplet towards MME, all those InSeq multiplets are counted that have uninterrupted detected an SSID equal to the SSID of the current multiplet, and / or i) a time TCHARGa during which the terminal was connected to the charger such that TCHARGa is evaluated and assigned only if in the current multiplet the charger terminal indicator is set such that TCHARGa is the time difference between the current multiplet and the farthest MMA multiplet, up to which, without interruption, all intervening multiplets have set the charger port indicator, and / or

j) a time TCHARGe during which the terminal was connected to the charger such that TCHARGe is evaluated and assigned only if in the current multiplet the charger connection indicator is set such that TCHARGe is the time difference between the current multiplet and the MME most located multiplet, up to which, without interruption, all intermediate multiplets have set the charger port indicator,

such that the multiplets provided with the InAs contain substantial information enabling the statistical evaluation of the independently stored multiplets such that the multiplets are stored in the same permanent database together with other multiplets which also originate from measurement series from other terminals, in such a way that without indicating the unity of the original series, the

Statistic for in-house measurements and / or in-tunnel measurement is statistically evaluable, such that by filtering on different numbers of InA

different levels of confidence can be achieved.

3. The method according to claim 2, characterized in that the method sequence according to claim 2 is alternatively carried out by the TA on the terminal prior to uploading to the server according to the method, such that the time during which the respective entire measurement series on the server for the Preprocessing, prior to the storage of the preprocessed multiplets into the persistent database, is reduced so that the risk of accessing the suite and the possibility of unauthorized tracing of paths becomes more individual

Mobile customer is reduced.

4. The method according to claim 2 or 3, characterized in that an analytic filter for the statistical evaluation of in-home care AFih the

permanent database searches for multiplets, such that the AFih in one enterable geographic area searches for multiplets with InA attributes, such that

a) its MMA GPS coordinates and / or its MME GPS coordinates

lie within the entered geographical area, and

b) the absolute value of Dae is not greater than the adjustable grid value Rd, which has the GPS resolution as default value, and

c) the time Tae is greater than an adjustable value, and

d) optionally the number of preceding multiplets and / or the time to MMA exceed their respective inputable minimum (see claim 2c)), and e) optionally the number of subsequent multiplets and / or the time to MME exceed their respective inputable minimum, and

f) optionally the number of cell identities entered in the list in the direction of MMA can not exceed an enterable maximum (see claim 2e)), and

g) Optionally, the number of cell identities entered in the list in the direction of MME does not exceed an input maximum, and

h) optionally the number Wa does not fall below the minimum that can be entered in the AFih and / or the time TWLANa does not fall below a settable minimum, and i) optionally the number We does not fall below the input minimum and / or the time TWLAN does not fall below the input minimum, and

j) optionally the time TCHARGa does not fall below the input minimum, and k) optionally the time TCHARGe does not fall below the input minimum and inserts it into a database and / or table for further analysis.

5. The method according to claim 4, characterized in that the AFih

detected multiplets are introduced into a geographical grid, such that a grid element, which is assigned a number of multiplets, represented by a color code and / or a shape code arranged in a geographical map according to their position, such that the color code and / or shape code of the number corresponding to assigned multiplets and / or corresponding to a settable percentage corresponding to the raster element such that the percentage indicates which portion of the associated multiplets contain a field strength measurement which is less than an input value or lies between two input values such that an easily detectable graphic arises for critical geographic raster elements.

6. The method according to one or more of claims 2-5, characterized

characterized in that an analytic filter for the statistical evaluation of InTunnel Supply AF searches the permanent database for multiplets, such that the AFit searches in an inputable geographic area

Looking for multiplets with InA attributes such that

a) its MMA G PS coordinates and / or its MME GPS coordinates

lie within the entered geographical area, and

b) the absolute value of Dae lies between two adjustable grid values Rdu and Rdo, and

c) optionally the time Tae is between two adjustable values, or the

Quotient of Dae and Tae lies between two settable values, and d) optionally the number of preceding multiplets and / or the time to MMA do not exceed their respectively inputable maximum, and

e) Optionally, the number of subsequent multiplets and / or the time to MME do not exceed their respective inputable maximum, and

h) optionally the WLAN brand is not set,

and for further analysis in a database and / or table.

7. The method according to claim 6, characterized in that the AFit

8. The method according to one or more of claims 1-7, characterized

in that the TA contains an identifier in such a way that this identifier is provided to the acquired data when uploading to the server application, such that the network and service quality evoked from the acquired data can be assigned to a customer group or to the group of employees of a mobile customer's corporate customer in such a way that the evoked quality is comparable to the quality guarantee agreed with the group and the compliance with the agreement is verifiable, so that the data protection of the individual member of the group is preserved.

9. The method according to one or more of claims 1-8 thereby

characterized in that the position with the acquired data of claim 1a) and the events of claim 1b) of the TA into a history list of

specifiable length with the times of acquisition and the

Status change times of the status indicators and the times of the events, and additionally the times of the change of the battery level, and the times are entered with the on-off indicator for the connection of the charger, so that the data in this history list for diagnosing the functionality of the individual terminals are analyzed, and optionally further data from measurements and / or results from functions initiated by the TA are detected by initiating calls to and from check numbers and / or sending and receiving SMS to check numbers, and / or Emails are sent to and received from check addresses and / or test portals are accessed with check URLs, and / or the

Data transmission rate to and from the test portal is measured, and / or one or more error registers of the terminal are read so that the results obtained are stored so that the data collected either directly analyzed by the TA and optionally the mobile customer the result is communicated or the analysis is carried out after the upload of the server application and the

Cellular customer is informed about the TA, and / or the customer service is communicated, so that in the latter case, the TA reads a customer identifier and / or phone number and sends the collected data to the server, such that the customer service the diagnosis Receive Result Configurable receives the contact information to the customer for queries.

0. Arrangement consisting of a server with a server application according to the method, and one or more mobile terminals each with the method according TA, and a mobile network to which each mobile terminal at least temporarily, but not necessarily simultaneously, one or more compounds builds, and optionally from one or more WLANs to those independent connections to individual mobile terminals

occasionally, but not necessarily all, and not necessarily simultaneously, such that the TAs integrate with the server application according to the method of any one of claims 1 to 9.