CN100562163C - The modeling method that is used for the wireless network user behavior - Google Patents
The modeling method that is used for the wireless network user behavior Download PDFInfo
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Abstract
The invention discloses a kind of modeling method that is used for the wireless network user behavior, comprise the steps: 1, define various mobile subscribers, wireless traffic, wireless access terminal and radio bearer model; 2, selected concrete zone and the known conditions that needs the define grid demand generates a user profile layer; 3, repeat the operation of second step, select for use appropriate mode to set up any a plurality of user profile layer as required; 4, set operating sequence and the mode of operation that each user schemes layer; 5, the professional operational version that generates according to the 4th step generates the user distribution density map; 6, the user density figure of the professional operational version that generates according to the 4th step, the generation of the 5th step generates the wireless network user in this zone.Advantage of the present invention is a kind of science, efficient, flexible net requirement definition method for realized the accurate definition to wireless network user distribution and business demand with rich functions and flexibility greatly.
Description
Technical field
The present invention relates to user behavior and be modeled in application in the cellular mobile telecommunication system network planning, especially relate to the modeling method that is used for the wireless network user behavior.
Background technology
Along with the development of mobile communication technology, type is abundant, the wireless data service of two-forty and high quality-of-service will become the main flow that future mobile communications is used.But, different business under the same wireless environment has different coverages and service quality, and this makes how to describe in certain regional the present and the future period the network user behavior exactly and the service distribution feature becomes the prerequisite and the necessary condition of building an elaboration wireless network.The user behavior in somewhere is described, the most important thing is to describe accurately the situation of this area's user distribution and different user use different business, but because age, occupation, economic situation even interlocal difference, there is bigger difference in dissimilar users on position distribution and professional the use; In addition, when the user used network access by wireless terminal to carry out a certain business, different business also was different to the situation that takies of wireless network resource (i.e. carrying).Therefore, describing the user distribution in a certain area and professional behaviour in service exactly is that those skilled in the art are always along the problem of research.
Summary of the invention
The object of the invention is to provide a kind of definition to be used for the modeling method of wireless network user behavior accurately.
For achieving the above object, the present invention can take following technical proposals:
The modeling method that is used for the wireless network user behavior of the present invention, it comprises the steps:
The first step, define various mobile subscribers, wireless traffic, wireless access terminal and radio bearer model;
Second step, selected concrete zone and the known conditions that needs the define grid demand, selected a kind of pattern generates a user profile layer from take polygon Mode, traffic density chart-pattern and arrow pattern;
The 3rd step, repetition second step operation select for use appropriate mode to set up any a plurality of user profile layer as required;
The 4th goes on foot, sets the operating sequence and the mode of operation of each user profile layer, these figure layer information is saved as an independently file, promptly professional operational version;
The 5th step, the professional operational version that generates according to the 4th step generate the user distribution density map; This user distribution density map has been described the interior user type and the corresponding number of users of each grid of numerical map precision decision in the requirement definition zone; The user distribution density map is preserved with document form, and the user type in the user distribution density map only is a uniquely identified ID, a unique user definition in the corresponding professional operational version of this ID;
The 6th step, the professional operational version, the 5th that generates according to the 4th step go on foot the user distribution density map that generates, generate the wireless network user in this zone, these users promptly are referred to as Virtual User, they are the simulations that need the user that access network commences business to the activation in the real network, they hold certain type wireless access terminal, carry out one or more wireless traffics, inserting the wireless network of this terminal of support according to the type of terminal.
In the described first step, during to the various user modeling of definition, the user must comprise terminal and the professional weights information that the distribution weights of this user type under different atural objects, translational speed and the type user use;
The wireless traffic model will the professional and professional modeling respectively of packet switching (PS) at circuit switching (CS).The CS business model must comprise up activity factor, descending activity factor and the uplink and downlink radio bearer that should business will use; The PS business model is subdivided into conversation class, stream class, interactive class, background class and self defined class, must comprise the uplink and downlink radio bearer that the average packet number of calls of average packet size, each session, average reading time, the average packet number of per call, grouping between calling out arrive the time interval, Block Error Rate and should business will use;
Modeling to the wireless access terminal must comprise: network type (CDMA2000/WCDMA/TD-SCDMA/GSM etc.), maximum transmission power, minimum emissive power, antenna gain and noise factor.
Must comprise the radio bearer model modeling: network type (CDMA2000/WCDMA/TD-SCDMA/GSM etc.), data rate, the expense factor, soft handover gain and link direction (upstream or downstream).
Polygon Mode in described second step:
Arbitrary polygonal region in the selected requirement definition zone of user is provided with number of users and user type and weights in the scope that this polygon comprised, adopt this mode to define the user profile layer;
The traffic density chart-pattern:
Comprise two kinds, promptly traffic density figure and throughput density figure are applicable to the professional and PS business of CS respectively, obtain this two kinds of density maps by importing from commercial wireless network; The traffic density chart-pattern is also by a selected polygon on numerical map, and effective range is the common factor of selected polygon and traffic density figure legal range; Under this pattern, calculate number of users in each grid according to the CS in each user type or PS type of service weights and each professional traffic carrying capacity, promptly the distribution weights of each user in the user type under different atural objects are invalid under this pattern; The user resets number of users, and the number of users set is pro rata distributed in the legal zone according to the distribution among the traffic density figure;
Arrow pattern:
Wire zone on the numerical map comprises road, river and railway, uses this pattern to set these regional user distributions; After selecting these entities on the numerical map and set width, user type and the number of users of these entities, get in the zone that the user is assigned to corresponding Linear Entity.
Advantage of the present invention mainly shows as:
1, has great flexibility, go for the needs of various known conditions and various definition;
2, have high accuracy, can generate independently distribution map layer to the concrete pattern of selecting for use of each special area as required, and can set the operating sequence and the mode of operation of each figure layer separately;
3, be with a wide range of applications, the Virtual User that utilizes the present invention to generate not only can be used for investigating network planning scheme, also can be applicable in the optimization and evaluation and test of existing network; In addition, this method is that the theoretical research of wireless network and network simulation aspect also have high using value and application prospects.
In a word, the present invention has realized wireless network user is distributed and the accurate definition of business demand with rich functions and flexibility greatly, be a kind of science, efficiently, flexible net requirement definition method.
Description of drawings
Fig. 1 is that the present invention needs the object of modeling and the correlation structural representation between them.
Fig. 2 is the structure chart of professional operational version of the present invention, and it has represented the relation between three kinds of patterns and each user profile layer and the user.
Fig. 3 generates user distribution density map, the Beijing area user distribution density map that this figure is to use the present invention to generate according to professional operational version.
Fig. 4,5,6 is respectively polygon Mode, traffic density chart-pattern, arrow pattern corresponding algorithm flow chart.
Fig. 7,8 is respectively tabulation of the traffic density map file attribute of a configuration and the structure chart thereof that the present invention stipulates.
Fig. 9 is a user density map generalization algorithm flow chart.
Figure 10 is the generating algorithm flow chart of Virtual User.
Embodiment
The modeling method that is used for the wireless network user behavior of the present invention, now with the Beijing area WCDMA network user and business demand definition, generate the user profile of areas of Beijing, requirement is a foundation with traffic density figure and the throughput density figure that existing GSM network generates, and require the special number of users of setting international trade and Beijing University of Post ﹠ Telecommunication, be respectively 1500 and 1800 people; In addition, also require to reset user types and the number of users that Chang'an street and three is encircled.As shown in the figure, concrete operations step is as follows:
The first step, the various wireless traffics of definition comprise speech, WAP, Streaming Media and MMS etc., definition WCDMA carrying and with suitable carrying and each business-binding;
Second step, definition high-end user, domestic consumer, low end subscriber, white collar user, student user and driving condition user also set terminal and professional and the corresponding weights that these users use respectively;
The 3rd goes on foot, selects for use the traffic density chart-pattern, define two figure layers respectively according to traffic density figure and throughput density figure and be respectively TrafficLayer1 and ThrouputLayer2, the number of users of the corresponding density map that the algorithm of employing acquiescence provides is set in these two figure layers respectively and goes up all kinds user's a type and weights;
The 4th step, select for use polygon Mode that international trade and Beijing University of Post ﹠ Telecommunication are defined two user profile layer GuoMao3 and BeiYou4 respectively, and set the total number of users of each figure layer, user type and weights;
The 5th step, the user profile layer of selecting for use arrow pattern definition Chang'an street and three to encircle are respectively ChangAnJie5 and SanHuan6, and set the total number of users of each figure layer, user type and weights;
Operating sequence and mode of the 6th step, each figure layer of adjustment are as follows: TraffcLayer1 (stack)-ThrouputLayer2 (stack)-GuoMao3 (replacement)-BeiYou4 (replacement)-ChangAnJie5 (replacement)-SanHuan6 (replacement);
The 7th step, comprehensive above step generate professional operational version " areas of Beijing operational program " and obtain corresponding file;
The 8th step, generate user density figure according to algorithm shown in Figure 9;
The 9th step, can generate Virtual User in this zone according to Figure 10 algorithm.
Claims (3)
1, a kind of modeling method that is used for the wireless network user behavior, it is characterized in that: it comprises the steps:
The first step, define various mobile subscribers, wireless traffic, wireless access terminal and radio bearer model;
Second step, selected concrete zone and the known conditions that needs the define grid demand, selected a kind of pattern generates a user profile layer from polygon Mode, traffic density chart-pattern and arrow pattern;
The 3rd step, repetition second step operation select for use appropriate mode to set up any a plurality of user profile layer as required;
The 4th goes on foot, sets the operating sequence and the mode of operation of each user profile layer, these figure layer information is saved as an independently file, promptly professional operational version;
The 5th step, the professional operational version that generates according to the 4th step generate the user distribution density map; This user distribution density map has been described the interior user type and the corresponding number of users of each grid of numerical map precision decision in the requirement definition zone; The user distribution density map is preserved with document form, and the user type in the user distribution density map only is a uniquely identified ID, a unique user definition in the corresponding professional operational version of this ID;
The 6th step, the professional operational version, the 5th that generates according to the 4th step go on foot the user distribution density map that generates, generate the wireless network user in this zone, these users promptly are referred to as Virtual User, they are the simulations that need the user that access network commences business to the activation in the real network, they hold certain type wireless access terminal, carry out one or more wireless traffics, inserting the wireless network of this terminal of support according to the type of terminal.
2, the modeling method that is used for the wireless network user behavior according to claim 1 is characterized in that: in the described first step, when the mobile subscriber was carried out modeling, user model comprised geographical attribute, terminal attribute and service attribute; Geographical attribute is meant geographical distribution weights and the translational speed of such user under different types of ground objects; Terminal attribute is meant the employed terminal type of such user; Service attribute is meant the proportionate relationship between the employed type of service of such user and each business;
When wireless traffic is carried out modeling, be at circuit switching (CS) business and the professional modeling respectively of packet switching PS; The key parameter that the CS business model comprises has: up activity factor, descending activity factor and the uplink and downlink radio bearer that should business will use; The PS business model is subdivided into conversation class, stream class, interactive class, background class and self defined class, and its key parameter has: the uplink and downlink radio bearer that the average packet number of calls of average packet size, each session, average reading time, the average packet number of per call, grouping between calling out arrive the time interval, Block Error Rate and should business will use;
When modeling was carried out in the wireless access terminal, the key parameter that the wireless access terminal model comprises had: network type is CDMA2000/WCDMA/TD-SCDMA/GSM, maximum transmission power, minimum emissive power, antenna gain and noise factor;
During to the radio bearer model modeling, the key parameter that the radio bearer model comprises has: network type is that CDMA2000/WCDMA/TD-SCDMA/GSM, data rate, the expense factor, soft handover gain and link direction are upstream or downstream.
3, the modeling method that is used for the wireless network user behavior according to claim 1 is characterized in that: the polygon Mode described in second step:
Arbitrary polygonal region in the selected requirement definition zone of user is provided with number of users and user type and proportion weights in the scope that this polygon comprised, adopt this mode to define the user profile layer;
The traffic density chart-pattern:
Comprise two kinds, promptly traffic density figure and throughput density figure are applicable to the professional and PS business of CS respectively, obtain this two kinds of density maps by importing from commercial wireless network; The traffic density chart-pattern is also by a selected polygon on numerical map, and effective range is the common factor of selected polygon and traffic density figure legal range; Under this pattern, calculate number of users in each grid according to the CS in each user type or PS type of service weights and each professional traffic carrying capacity, promptly the distribution weights of each user in the user type under different atural objects are invalid under this pattern; The user resets number of users, and the number of users set is pro rata distributed in the legal zone according to the distribution among the traffic density figure;
Arrow pattern:
Wire zone on the numerical map comprises road, river and railway, uses this pattern to set these regional user distributions; After selecting these entities on the numerical map and set width, user type and the number of users of these entities, get in the zone that the user is assigned to corresponding Linear Entity.
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| CN103188687B (en) * | 2011-12-30 | 2016-03-30 | 中国移动通信集团江苏有限公司 | A kind of frequency resource coordination approach and system |
| CN103179584B (en) * | 2013-02-21 | 2015-07-22 | 中兴通讯股份有限公司 | Self-optimizing system and self-optimizing method based on user level service model |
| CN103491568A (en) * | 2013-06-03 | 2014-01-01 | 北京洛神科技有限公司 | Mobile network road optimized analysis system |
| CN106572476A (en) * | 2015-10-13 | 2017-04-19 | 富士通株式会社 | Network planning application scene configuration method, and wireless network planning method and device |
| CN107734513B (en) * | 2017-10-18 | 2021-03-02 | 中国联合网络通信集团有限公司 | Method and device for determining service density |
| CN108228887B (en) * | 2018-01-31 | 2019-12-03 | 百度在线网络技术（北京）有限公司 | Method and apparatus for generating information |
| CN111127059B (en) * | 2018-10-31 | 2023-04-18 | 北京国双科技有限公司 | User quality analysis method and device |
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Assignee: Beijing Telecom Planning & Designing Institute Co., Ltd. Assignor: China Inforamtion Technology Development Consulting Institute Co., Ltd. Contract record no.: 2010110000145 Denomination of invention: Modelling approach for wireless network user action Granted publication date: 20091118 License type: Exclusive License Open date: 20080130 Record date: 20100906 |