KR20010056753A - Profit simulation method to depend on rate policy in packet and frame relay networks - Google Patents

Abstract

PURPOSE: A method for simulating a profit rate is provided to analyze a profit rate in accordance with an investment of a packet network, a frame relay network businessman and a charge structure in multi-dimensions. CONSTITUTION: In calculating of a charge structure profit rate with respect to a packet network and a frame relay network, the charge structure profit rate is classified by a charge structure of inputted data, a varied rate and the others discount rate. If the classification is an input data classification of a measured rate system, the classification is classified as an input data for calculating a profit of a measured rate system commodity, a charging kind is detected. A simulation result report is created by classifying the charging kind into a standard, a connection time and a transmitting quantity and calculating by a rate thereof in accordance with the above result and applying a rate according to an additional or extension services. If the classification is an input date of a fixed sum system, the classification is classified as input data for calculating a profit of a fixed sum system commodity. A calculating is performed by applying a rate in accordance with member contract contents after classifying input data and a profit simulation result report is created in accordance with an application or not of the additional or extension services.

Description

Profit simulation method to depend on rate policy in packet and frame relay networks}

The present invention relates to a method for simulating the rate of return according to the rate structure necessary for the policy decision based on traffic volume and subscriber information for packet network and frame relay network.

In general, network operators should calculate revenues from sales, investments, and operating costs to create business prospects and investment plans. In order to secure competitiveness in response to the changing telecommunications market due to the creation of other telecommunications providers, the withdrawal of specification services, and the creation and expansion of new service products, a reasonable, economical and flexible tariff policy suitable for the current telecommunications market status should be presented. It should be possible.

Customers are more likely to drop off on providers who offer the lowest rates, and network operators will want to adopt higher-paying tariffs. Therefore, it is necessary to be able to flexibly present a tariff policy that can compete with new service and tariff policy while keeping an eye on the market form of other companies.

The tariff structure for packet networks and frame relay networks is divided into pay-as-you-go and flat rates (see ITU-T D.225). Pay-as-you-go is a type of charge based on access time and transfer rate, and a flat rate is a method of charging monthly fees by speed and distance.

Currently, the general charge type of the packet network is a pay-as-you-go system that combines the connection time and the transmission amount, and the frame relay network adopts the flat rate by the speed (connection speed and transmission speed) by providing most of them in the form of a permanent virtual circuit (PVC).

In the case of the telephone network, a pay-as-you-go system is adopted, and since the parameters are simple, it is easy to present the change in income by applying the variable rate per frequency. However, in packet and frame relay networks, the rate of return should be calculated in consideration of various parameters such as traffic volume, access time, access speed, and transmission speed. Currently, there is no technology that provides a pricing structure simulation method for packet networks and frame relay networks.

Calls occurring in packet network and frame relay network are different for each user type and protocol. User types can be broadly classified into general, 014xy, and internal subscribers. In terms of revenue, these users are classified as billed and unbilled, and protocols can be classified as asynchronous, X.25, frame relay, SDLC, and so on. General subscribers are subscribers who generate direct revenue from the network. However, at present, a large portion of the 014xy traffic and the internal subscriber's line equipment and traffic that are operated by non-billing account for a large portion. The present invention provides the results of the above-mentioned user type and protocol-specific rate of return simulation to prepare a basis for use in determining the price and rate structure of each product.

Accordingly, the present invention has been made to solve the above problems, provides a simulation method that can multi-dimensionally analyze the rate of return according to the rate structure, which is the key information in the investment and business planning of packet network and frame relay network operators Its purpose is to.

The method of the present invention for achieving the above object, the input data classification means according to the access time, transmission amount, connection speed, CIR (Committed Information Rate), EIR (Excess Information Rate) required for the charge calculation, It includes a means for calculating the rate of return for each user type, protocol, speed, product by applying the variable rate, additional extended service charges, time slot discounts, usage discounts, large user discounts, etc. for the flat items.

1 is an input record structure in a packet network and a frame relay network according to the present invention;

2 is an X.121 numbering scheme.

Figure 3 is a flow chart of the input data classification method for calculating the revenue of a pay-as-you-go product according to the present invention.

4 is a flow chart of a method for classifying input data for calculating a flat fee according to the present invention.

5 is a data processing procedure for accepting a discount policy according to the present invention.

6A and 6B are simulation flow charts according to the discount policy shown in FIG.

7 is a flow rate simulation flow chart according to the rate structure of the packet network and frame relay network.

Hereinafter, with reference to the accompanying drawings will be described an embodiment according to the present invention;

Figure 1 shows an input record structure for calculating the rate of return from the billing raw record and the subscriber source data generated in the actual network according to the present invention.

The content of 11 ~ 15 symbols is a value extracted from the billing source record, start_date (11) means call origination date and time, and clg_addr (12) indicates call origination address. Duration (13) is the time the subscriber used the network and is used to calculate the access time when calculating the pay-as-you-go rate. Seg_xmit 14 and seg_recd 15 mean the amount of transmission and the amount of reception, and the actual charging unit is a segment. HiNET-P / F, a packet network and frame relay network of Korea Telecom, has set 64 bytes as 1 segment. The data are the parameters used for the pay-as-you-go calculation described below.

The contents of 16 ~ 20 symbols are the items selected by the subscriber in the contract for the use of the network, and are the values extracted from the subscriber directory. Iyong_no (16) has the same value as the NUA described above as the user number. tongsokdo (17) is the connection speed of the physical line, insokdo (18) and outsokdo (19) is the speed actually transmitted in the network, insokdo means CIR, outsokdo means EIR. Currently, most network operators calculate only the connection rate and transmission rate (CIR) in calculating the rate, but the present invention accepts the possibility of applying the EIR as a charging parameter.

Buga_service (20) is a code value of supplementary service and extended service, 'special call', 'dedicated D / U', 'virtual private network', 'international packet dedicated line', 'provide selected screen', 'select screen access', Above contents such as 'Dedicated Selection', 'Frame Relay', 'Closed User Group', 'Fixed Connection', 'Calling Charge', 'Logical Channel', 'Direct Call', 'Simultaneous Transmission', 'One-way Communication' Service, etc. Can be used in combination. The present invention provides a function to calculate the rate of return by selecting the variable rate and rate structure for each additional extension service.

Contact_period (21) and subscrib_tot (22) are items used when applying a discount rate when calculating rates as the contract period and the number of subscribers. Subscribers may be eligible for discounts based on the term of the contract and discounts based on the class of subscribers. It is assumed here that the values of Clg_addr and iyong_no that determine the user type and protocol type conform to the ITU-T X.121 numbering system.

2 illustrates a configuration of a network user address (NUA) according to the X.121 numbering scheme. DNIC is a data communication network identification number consisting of a country code (Korea '450') and a network identification number (HiNET '1'), and NTN consists of a station number used for regional classification and contractor serial numbers separated by protocol. The minor number is used to identify the contractors that make up the subnet.

In FIG. 3, a table for calculating a lake generated by cutting a transmission amount and an access time by a specific unit is applied to traffic data subject to a pay-as-you-go fee generated in an actual network. First of all, a user is inputted a minimum unit of access time and transmission amount charging to be charged. The connection time is converted into seconds or minutes from the actual charging record data, and then the number of records in the corresponding connection time range is counted to form a connection time distribution table. In addition, after configuring a list in units of segments based on the transmission amount (seg_xmit + seg_recd) among the charging record configuration items of FIG. These tables are created by user type (general, 014xy, subscriber), and proto (asynchronous, X.25, F / R, SDLC, etc.).

4 is an exemplary view illustrating an input data classification method for calculating a flat rate rate of return for a packet network and a frame relay network according to the present invention. In FIG. 4, a table in which the number of subscribers is calculated by cutting the classification, transmission rate, and connection rate for each service for a subscriber unit data in FIG. In the frame relay network flat rate structure, the parameters of the connection rate of the physical circuit, the transmission rate (CIR) of the subscriber data guaranteed in the network, or the transmission rate (EIR) allowed according to the network conditions for traffic exceeding the CIR are parameterized. These connection and transmission rate distributions are prepared according to the contract of the network operator.

In FIG. 5, the total discount amount for each discount type is calculated by extracting a record that is subjected to a temporary discount, a usage discount, a large subscriber discount, a long-term discount, and the like from the billing record and the subscriber resource data.

That is, as shown in Figures 6a and 6bD _t Is the discount incurred by the unilateral discount of the arc entering the specified time class t.D _t Calculate Discount rate R for class t_tCharged amount of subscribers belonging to class t in_tMultiplied byD _t BecomesD _s Is the usage discount for calls falling within the specified class of traffic class s.D _s Calculate Discount rate R of s class_sSubscriber charges belonging to class s in s_sMultiplied byD _s BecomesD _v Is a large quantity depending on the number of subscriptions v Total discount rate applied to user discount rateD _v Calculate Discount rate R of v class_vAmount billed by subscriber belonging to class v_vMultiplied byD _v Becomes Finally, as a discount on long-term useD _l Is the total discount applied to those who sign up for a particular contract period l. l Discount rate of class R_lSubscriber billing amount belonging to l class_lMultiplied byD _l Becomes

FIG. 7 is a flowchart illustrating a rate-of-yield simulation according to a rate structure of a packet network and a frame relay network according to the present invention, and shows a process of calculating and applying various rates selected by a user based on a table list classified in FIGS. 3 and 4.

The input data of the simulation structure according to the present invention includes a product fee structure, a pay-per-unit minimum unit rate, a flat rate product and rate rate, a discount class rate, and additional extended service fee. The data become billing parameters and are items that can be changed by the user.

For the pay-as-you-go calculation, the rates per minute or per segment are calculated for the billed and non-billed items for each user type classified in FIG. 3 as follows.

(1) Usage Cost Total = [(D _i x R _d x W _i ) + (S _j x R _s x W _j ) + (C _a x R _a )]

here,Usage Cost TotalIs the total amount of income a network operator can raise by adopting a pay-as-you-go policy.D _i Is a particular connection time class i On the lake,R _d Is the minimum unit rate for charging access time,W _i Is the weight for the i th connection time class. If you cut the class evenlyW _i Will be the same as i. S _j Is the lake that occurred in a specific throughput class j, S _d Is the minimum unit rate for charge transfer,W _j Is the weight for the j th traffic class. If you cut the class evenlyW _j Will be the same as j.C _a Is the number of subscribers to the additional or extended service a,R _a Is the rate of additional, extended service a.

According to the user's choice, the charging type can be represented by access time charging, transmission charge, standard charging which is a combination of access time and transmission. Equation (1) above is a formula for standard charging, connection time charging is (2) and transmission charge is (3).

(2) Usage Cost Total = [(D _i xR _d xW _i ) + (C _a xR _a )]

(3) Usage Cost Total = {(S _j xR _s xW _j ) + (C _a x R _a )]

For the purpose of calculating the flat rate, the following calculation method is provided according to the access speed and the transmission speed based on the subscriber information classified in FIG. 4.

(4) Reservation Cost Total = [(P _i x R _i ) + (C _j x R _j ) + (E _k x R _k ) + (S _a x R _a )]

The Reservation Cost Total Im is the total revenues that the network operator to raise to accommodate the Subscription yogeup policy, P _I is a subscriber, R _i i a particular connection speed is trying to join the rate on the connection speed i. C _j is the number of subscribers subscribed to a particular CIR _j , the rate of the j _j transmission rate j. E _k is the number of subscribers to EIKk, and R _k is the rate of transmission k. S _a is the number of subscribers subscribed to the additional or extended service a, and R _a is the rate of the additional extended service a.

The discount amount calculated in FIG. 5 is ignored or subtracted from the formulas of (1), (2), (3) and (4) according to whether the discount policy is applied. In this way, a report on the calculated data is generated by user type (general, 014xy, internal subscriber) and by prototyping. Depending on the user's choice, the simulation procedure may continue.

The present invention provides a simulation function for the rate structure by inputting the subscriber status and the actual traffic data, and in determining the policy (pay-as-you-go, subscription, rate per service) of packet and frame relay networks that influence profits. It is effective to utilize the core data of economic and reasonable policy decision.

In addition, preferred embodiments of the present invention are disclosed for the purpose of illustration, those skilled in the art will be able to various modifications, changes, additions, etc. within the spirit and scope of the present invention, such modifications and modifications belong to the following claims You will have to look.

Claims (4)

In calculating rate structure rate of return for packet network and frame relay network, A first step of classifying by the fee structure, variable rate and other discount rate of the input data; A second step of judging whether the input data of the pay-as-you-go is classified based on the data classified in the first step; A third step of classifying the input data for calculating the revenue of the pay-as-you-go commodity and determining the type of billing, in the case of the classification of the input data of the pay-as-you-go as determined in the second step; A fourth step of generating a profitability simulation result report by classifying charge types into standard, access time and transfer charges according to the result determined in step 3, and calculating the rates according to additional rates according to additional or extended services, respectively; A fifth step of classifying the input data for the flat rate as a result of the determination in the second step; A packet network comprising a sixth process of calculating a rate simulation result report according to whether a rate according to a subscriber contract is calculated after input data is classified in the fifth process and applying rates according to additional or extended services; and Yield simulation method according to the rate structure of frame relay network. The method of claim 1, Data processing according to the discount policy of the first step is a) extracting data of a time slot discounter, a sender, a subscriber to a subscriber, and a subscriber to a subscriber of a long-term discount; b) calculating the billed amount according to the billing type of the subscriber based on the data extracted in step (a); And c) Profit rate simulation according to the rate structure of the packet network and frame relay network, comprising generating a table for each user type and protocol by calculating the applicable discount rate to the billed amount calculated in step (b). Way. The method of claim 1, In the second process, the input data classification of the pay-per-agent is a) generating a profile by classifying the generated connection time into a specific unit; b) summing and storing the number of occurrences belonging to each range of the access time profile generated in step (a); c) generating a profile by classifying the generated transmission amount into a specific unit; And d) summing and storing the number of issued calls belonging to each category of the traffic profile generated in step (c), and generating a table for each user type and protocol, according to the charge structure of the packet network and frame relay network. Method for simulating return. The method of claim 1, In the fifth process, the input data classification of the flat rate is a) generating a product table based on product types and services provided by the network; b) summing up the number of subscribers per product type and service and storing them in a table; c) summing the number of subscribers for each frame relay transmission rate and storing the number in the table; And d) a method for simulating the rate of return according to the rate structure of a packet network and a frame relay network, comprising: generating a table for each user type and protocol by adding the frame relay CIR and EIR reference subscriber numbers and storing them in a table.