Digital subscriber line user capacity estimation

• US 20060285496A1
• Filed: 08/30/2006
• Published: 12/21/2006
• Est. Priority Date: 01/28/2004
• Status: Abandoned Application

• Current Assignee: Sbc Knowledge Ventures, L.P.
• Original Assignee: Sbc Knowledge Ventures, L.P.
• Inventors: Blackburn, Stuart Lynch
• Application Number:
  US11/513,084
• Publication Number:
  US 20060285496A1
• Time in Patent Office: Days
• US Class Current: 370/235
• CPC Class Codes: H04L 12/2856 Access arrangements, e.g. Internet access asynchronous transfer mode networks H04L12/5601; broadband local area networks H04L12/2801; optical access or distribution networks H04Q11/0067; access to open networks H04L12/5691; digital subscriber line end-user equipment and bit-level processing of data on a PSTN-based network H04M11/00; home network gateways H04L12/2834; wireless access networks H04W
• CPC Class Codes: H04L 12/2883 ATM DSLAM
• CPC Class Codes: H04L 47/15 in relation to multipoint traffic arrangements for broadcast or multicast in data networks H04L12/18
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: H04L 47/788 Autonomous allocation of resources
• CPC Class Codes: H04L 47/808 User-type aware
• CPC Class Codes: H04L 47/822 Collecting or measuring resource availability data

Abstract

In a particular embodiment, the present disclosure is directed to a data communications system. The data communication system includes a plurality of digital subscriber lines, a digital subscriber line multiplexer coupled to each of the plurality of digital subscriber lines, and a data switch coupled to the digital subscriber line multiplexer via a communication link. The data communications system is configured such that the number of digital subscriber line users supported by the digital subscriber line multiplexer is determined based on an estimated maximum number of users, the estimated maximum number of users determined based on an average peak bandwidth per user value, a data communication capacity of the communication link, and a data transmission slowdown indicator. The communication capacity is based on a user type selected from a set of available user types.

Claims

1. A system comprising:

an asynchronous transfer mode (ATM) switch responsive to a network; and

a digital subscriber line access multiplexer (DSLAM) coupled to the ATM switch and to a plurality of digital subscriber lines, the DSLAM to support the plurality of digital subscriber lines, the DSLAM configurable to limit a number of supported digital subscriber lines based on an estimated capacity model, the estimated capacity model including a data transmission slowdown indicator comprising a probability of experiencing a slowdown event.

2. The system of claim 1, wherein the slowdown indicator further comprises an estimated slowdown amount.

3. The system of claim 1, wherein the estimated capacity model defines a maximum number of supported digital subscriber lines.

4. The system of claim 1, wherein the capacity model further comprises an estimated bandwidth usage based on an average peak period bandwidth for a plurality of customers.

5. The system of claim 4, wherein the average peak period bandwidth for each of the plurality of customers is approximately equal.

6. The system of claim 4, wherein each customer of the plurality of customers is assigned an associated average peak period bandwidth related to an estimated usage by the customer.

7. The system of claim 6, wherein a first average peak period bandwidth of a first customer of the plurality of customers is different from a second average peak period bandwidth of a second customer of the plurality of customers.

8. A method comprising:

selecting a first user type and a second user type from a set of available user types, each user type of the set of available user types including an associated constant bandwidth, wherein a first bandwidth of the first user type is different from a second bandwidth of the second user type;

determining a first average peak bandwidth based on the first user type and a second average peak bandwidth based on the second user type;

estimating a first percentage of customers comprising the first user type and a second percentage of customers comprising the second user type;

determining probability of slowdowns associated with the first percentage and associated with the second percentage; and

estimating a number of users of the first type and the second type at least partially based on the probability of slowdowns and an average peak bandwidth per user type.

9. The method of claim 8, further comprising:

selecting a third user type having a third constant bandwidth;

determining a third average peak bandwidth based on the third user type;

estimating the third percentage of customers comprising the third user type; and

determining a probability of slowdown based on the third percentage.

10. The method of claim 8, wherein estimating a number of users comprises:

adjusting the number of users such that a product of the number of users multiplied by a sum of the probability of slowdown of each user type is below a predetermined threshold.

11. The method of claim 10, wherein the predetermined threshold comprises a percentage less than approximately 20%.

12. The method of claim 8, wherein the first user type comprises a 6 Mb/s user type.

13. The method of claim 8, wherein the first user type has an average bandwidth of 35 kb/sec.

14. The method of claim 8, wherein the second user type comprises a 1.5 Mb/s user type.

15. The method of claim 13, wherein the second user type has an average peak bandwidth of 20 kb/sec.

16. A method comprising:

selecting a population of user types, each user type of the population of user types including an average bandwidth parameter;

determining a slowdown indicator including a slowdown amount and a probability of a slowdown event for each user type;

estimating a maximum number of users of the selected population of user types according to the average bandwidth parameter and the slowdown indicator for each user type; and

configuring a device to limit a number of supported digital subscriber lines to a number that is less than the maximum number.

17. The method of claim 16, wherein selecting the population of user types comprises:

determining a percentage associated with each user type of a set of user types based on an estimated composition of the population of user types.

18. The method of claim 17, wherein the percentage of a first user type of the set of user types comprises approximately 10% of the population of user types.

19. The method of claim 16, wherein configuring a device comprises configuring a digital subscriber line access multiplexer (DSLAM) to support a number of digital subscriber lines that is less than the estimated maximum number of users.

20. The method of claim 16, wherein the population of user types comprises a first user type having a first average bandwidth parameter and a second user type having a second average bandwidth parameter, wherein the first average bandwidth parameter is greater than the second average bandwidth parameter.