Determining subscriber demands on a communications system

• US 6,246,880 B1
• Filed: 11/13/1998
• Issued: 06/12/2001
• Est. Priority Date: 11/13/1998
• Status: Expired due to Term

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: Iizuka, Norio
• Primary Examiner(s): Kincaid, Lester G.
• Application Number:
  US09/191,495
• Time in Patent Office: 942 Days
• Field of Search: 455/62, 455/63, 455/67.1, 455/450, 455/451, 455/452, 455/517, 455/453, 455/446, 455/422
• US Class Current: 455/446
• CPC Class Codes: H04W 16/22 Traffic simulation tools or models
• CPC Class Codes: H04W 4/24 Accounting or billing
• CPC Class Codes: H04W 72/52 based on load

Abstract

A method and system in a wireless communications system enables a network operator to accommodate subscriber demands by matching resources to current, congested traffic levels and future, predicted traffic levels. The accommodation may be effectuated at the cell level, and the applicable resources include transceivers (TRXs). A given base station in a network records variables on preferably at least three occasions. The variables include time of measurement, mean traffic level (TL), busy hour TL, and current number of TRXs. These four variables may then be used in a non-linear optimization formula applied to a growth equation. Three vital coefficients are produced for the equation. Future traffic levels, as well as a maximum expected subscriber population, for the given cell can be estimated from the growth equation with the vital coefficients. A possible busy hour TL and the predicted future TLs may be used to determine an optimized number of TRXs.

Claims

1. A method in a wireless communications system for dimensioning resources in response to congested traffic levels, comprising the steps of:

determining an average traffic level;

determining a possible traffic level based on, at least in part, a number of traffic channel request failures;

ascertaining an amount of a resource, said amount of said resource accommodating said possible traffic level; and

wherein said step of determining an average traffic level further comprises the steps of;

accumulating a total traffic channel number over a predetermined time period at set intervals;

accumulating a total number of said set intervals over said predetermined time period; and

estimating a mean traffic level responsive to said total traffic channel number and said total number of said set intervals over said predetermined time period.

2. The method according to claim 1, wherein said steps of determining an average traffic level, determining a possible traffic level, and ascertaining an amount of a resource are performed with respect to a cell of said wireless communications system.

3. The method according to claim 1, wherein said resource comprises transceivers.

4. The method according to claim 3, further comprising the step of:

installing a number of transceivers so that a specified grade of service is provided during periods of congestion, wherein said number of transceivers is based on said amount of said resource that accommodates said possible traffic level.

5. A method in a wireless communications system for dimensioning resources in response to congested traffic levels, comprising the steps of:

determining an average traffic level;

determining a possible traffic level based on, at least in part, a number of traffic channel request failures;

ascertaining an amount of a resource, said amount of said resource accommodating said possible traffic level; and

wherein said step of determining a possible traffic level further comprises the step of determining said possible traffic level based on, at least in part, said average traffic level, said number of traffic channel request failures, and a mean traffic load per call.

6. A method in a wireless communications system for dimensioning resources in response to congested traffic levels, comprising the steps of:

determining an average traffic level;

determining a Possible traffic level based on, at least in part, a number of traffic channel request failures;

ascertaining an amount of a resource, said amount of said resource accommodating said possible traffic level; and

further comprising the step of calculating a possible busy hour traffic level according to the following equation;

7. A method in a wireless communications system for predicting future traffic levels, comprising the steps of:

recording a first time for a first entry;

determining a first value for said first entry, said first value dependent on a first traffic level;

recording a second time for a second entry;

determining a second value for said second entry, said second value dependent on a second traffic level;

applying said first time, said first value, said second time, and said second value to an equation related to a growth model;

determining at least one coefficient of said equation; and

predicting a future traffic level at a selected time using said equation with said at least one coefficient.

8. The method according to claim 7, further comprising the step of:

ascertaining an amount of a resource, said amount of said resource accommodating said future traffic level.

9. The method according to claim 8, wherein said resource comprises transceivers and said step of ascertaining an amount of a resource further comprises the steps of:

determining a future number of traffic channels based on said future traffic level; and

matching a number of installed transceivers to said future number of traffic channels prior to being able to observe a demand by subscribers in said wireless communications system for said future number of traffic channels.

10. The method according to claim 9, wherein said step of matching a number of installed transceivers further comprises the step of:

ordering and installing a number of transceivers so that a specified grade of service is provided.

11. The method according to claim 7, wherein said step of applying further comprises the step of applying a third and a fourth entry, wherein said third entry includes a third time and a third value and said fourth entry includes a fourth time and a fourth value, said third value dependent on a third traffic level and said fourth value dependent on a fourth traffic level;

and

wherein said first entry, said second entry, said third entry, and said fourth entry are recorded at different times.

12. The method according to claim 7, wherein said step of determining at least one coefficient of said equation further comprises the step of using a Newton-Rapson iteration process to determine said at least one coefficient.

13. The method according to claim 7, wherein said first traffic level comprises a first mean traffic level and said second traffic level comprises a second mean traffic level, further comprising the steps of:

determining a first busy hour traffic level for said first entry; and

determining a second busy hour traffic level for said second entry.

14. The method according to claim 13, wherein the determination of a first mean traffic level for said first entry further comprises the steps of:

accumulating a total traffic channel number over a predetermined time period at set intervals;

accumulating a total number of said set intervals over said predetermined time period; and

estimating said first mean traffic level from said total traffic channel number and said total number.

15. The method according to claim 13, wherein said step of determining a first busy hour traffic level for said first entry further comprises the step of:

determining an average of a traffic level at a busy hour of each day during a predetermined period.

16. The method according to claim 7, wherein said equation is of the form:

$f<br><br>\left(t\right)=\frac{a<br><br>\text{\hspace{1em}<br><br>}<br><br>f_0}{b<br><br>\text{\hspace{1em}<br><br>}<br><br>f_0+\left(a-b<br><br>\text{\hspace{1em}<br><br>}<br><br>f_0\right)<br><br>{\mathrm{<br><br>}}^{-a<br><br>\left(t-t_0\right)}}$

and wherein said step of determining at least one coefficient of said equation further comprises the steps of determining the a coefficient, determining the b coefficient, and determining the f₀ variable, wherein the f₀ variable is an initial traffic level.

17. The method according to claim 7, wherein said first traffic level is measured in Erlang.

18. A method in a wireless communications system for predicting future traffic levels, comprising the steps of:

recording a first time for a first entry;

determining a first value for said first entry, said first value dependent on a first traffic level;

recording a second time for a second entry;

determining a second value for said second entry, said second value dependent on a second traffic level;

applying said first time, said first value, said second time, and said second value to an equation related to a growth model;

determining at least one coefficient of said equation;

predicting a future traffic level at a selected time using said equation with said at least one coefficient; and

wherein said step of determining at least one coefficient of said equation further comprises the step of determining a plurality of coefficients of said equation.

19. The method according to claim 18, further comprising the step of determining a dividend of two of said plurality of coefficients of said equation, said dividend indicating an approximate maximum traffic level.

20. A method in a wireless communications system for predicting future traffic levels, comprising the steps of:

recording a first time for a first entry;

determining a first value for said first entry, said first value dependent on a first traffic level;

recording a second time for a second entry;

determining a second value for said second entry, said second value dependent on a second traffic level;

applying said first time, said first value, said second time, and said second value to an equation related to a growth model;

determining at least one coefficient of said equation;

predicting a future traffic level at a selected time using said equation with said at least one coefficient; and

wherein said first traffic level comprises a first mean traffic level and said second traffic level comprises a second mean traffic level, further comprising the steps of;

determining a first busy hour traffic level for said first entry;

determining a second busy hour traffic level for said second entry; and

further comprising the step of;

predicting a future busy hour traffic level based on combining said future traffic level with a maximum difference between each corresponding pair of mean traffic level and busy hour traffic level.

21. The method according to claim 20, further comprising the step of:

ascertaining an amount of a resource, said amount of said resource accommodating said future busy hour traffic level.

22. A method in a wireless communications system for predicting future traffic levels, comprising the steps of:

recording a first time for a first entry;

determining a first value for said first entry, said first value dependent on a first traffic level;

recording a second time for a second entry;

determining a second value for said second entry, said second value dependent on a second traffic level;

applying said first time, said first value, said second time, and said second value to an equation related to a growth model;

determining at least one coefficient of said equation;

predicting a future traffic level at a selected time using said equation with said at least one coefficient; and

further comprising the step of;

determining a current amount of a resource for said first entry.

23. The method according to claim 22, wherein said step of determining a current amount of a resource for said first entry further comprises the step of:

determining a current number of installed transceivers.

24. A method in a wireless communications system for predicting future traffic levels, comprising the steps of:

recording a first time for a first entry;

determining a first value for said first entry, said first value dependent on a first traffic level;

recording a second time for a second entry;

determining a second value for said second entry, said second value dependent on a second traffic level;

applying said first time, said first value, said second time, and said second value to an equation related to a growth model;

determining at least one coefficient of said equation;

predicting a future traffic level at a selected time using said equation with said at least one coefficient; and

wherein said steps of determining at least one coefficient and predicting a future traffic level are performed at a mobile services switching center of said wireless communications system.