Method and system for predicting wireless communication system traffic

• US 7,142,868 B1
• Filed: 04/22/2002
• Issued: 11/28/2006
• Est. Priority Date: 04/22/2002
• Status: Expired due to Term

• Current Assignee: Sprint Spectrum LP (Deutsche Telekom AG)
• Original Assignee: Sprint Spectrum LP (Deutsche Telekom AG)
• Inventors: Cox, Jeff, Broyles, Dan
• Primary Examiner(s): Feild, Joseph
• Assistant Examiner(s): Afshar, Kamran
• Application Number:
  US10/127,225
• Time in Patent Office: 1,681 Days
• Field of Search: 455/429, 455/446, 455/453, 455418-420, 455/422.1, 455/423, 455/447, 455/449, 455450-4522, 455/67.11
• US Class Current: 455/453
• CPC Class Codes: H04W 16/00 Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
• CPC Class Codes: H04W 16/24 Cell structures

Abstract

A method and system for predicting wireless communication system traffic is provided. Inputs, such as current wireless system traffic and expected future market traffic, are input into a system. The system can use the expected future market traffic to extrapolate from the current wireless system traffic to establish a future expected wireless system traffic estimation. The system may also identify capacity problems within the future expected wireless system due to unbalanced traffic loading or overloading of traffic within the future expected wireless system.

Claims

1. In a wireless communication system comprising a plurality of base stations each having a respective radiation pattern defining one or more sectors, a method of predicting future per-sector traffic in the wireless communication system comprising:

receiving input indicative of current per-sector traffic;

receiving input indicative of expected future market traffic;

using the expected future market traffic to extrapolate from the current per-sector traffic to establish a measure of expected future per-sector traffic by a process comprising;

(a) categorizing the sectors into groups based on growth rate of traffic in the sectors;

(b) distributing the expected future market traffic among the groups based on the growth rates of the groups, to associate with each group a respective group-portion of the expected future market traffic; and

(c) within each group, distributing the group'"'"'s respective portion among the sectors in the group, to associate with each sector a respective sector-portion of the expected future market traffic; and

outputting an indication of the expected future per-sector traffic, wherein outputting the indication of the expected future per-sector traffic comprises outputting an indication, with respect to each of at least some of the sectors, of the sector'"'"'s respective sector-portion of the expected future market traffic.

2. A computer readable medium having stored therein instructions for causing a central processing unit to execute the method of claim 1.

3. The method of claim 1, wherein receiving input indicative of current per-sector traffic comprises receiving information that indicates, per-sector, a current amount of Erlang traffic, and a current amount of throughput traffic.

4. The method of claim 1, wherein receiving input indicative of expected future market traffic comprises receiving input, which indicates a total amount of traffic expected for the market on a future date.

5. The method of claim 4, wherein receiving input, which indicates the total amount of traffic comprises receiving one or more of an estimated amount of future Erlang traffic on the future date, and an estimated amount of future throughput traffic on the future date.

6. The method of claim 1 further comprising receiving input indicative of a distribution of per-sector traffic, wherein the distribution of per-sector traffic includes expected future per-sector growth levels.

7. The method of claim 6 further comprising using the input indicative of the distribution of per-sector traffic with the input indicative of expected future market traffic to extrapolate from the current per-sector traffic to establish the measure of expected future per-sector traffic.

8. The method of claim 6 further comprising computing an expected growth scaling factor according to the expected future per-sector growth levels, and using the expected growth scaling factor with the expected future market traffic to extrapolate from the current per-sector traffic to establish the measure of expected future per-sector traffic.

9. The method of claim 1, wherein to establish the measure of expected future per-sector traffic comprises establishing, per-sector, a respective level of expected future Erlang traffic and a respective level of expected future throughput traffic.

10. The method of claim 9, wherein outputting an indication of the expected future per-sector traffic comprises displaying a graphical representation of the expected future per-sector traffic, and wherein the graphical representation includes color-coded sectors according to the respective level of expected future per-sector Erlang traffic and the respective level of expected future per-sector throughput traffic.

11. The method of claim 9, wherein outputting an indication of the expected future per-sector traffic comprises outputting a table including information relating to the respective level of expected future per-sector Erlang traffic and the respective level of expected future per-sector throughput traffic.

12. The method of claim 1 further comprising selecting a future date, and wherein, to extrapolate from the current per-sector traffic to establish the measure of expected future per-sector traffic comprises establishing the measure of expected future per-sector traffic on the selected future date.

13. In a wireless communication system comprising a plurality of base stations each having a respective radiation pattern defining one or more sectors, a method of predicting future per-sector traffic in the wireless communication system comprising:

receiving input indicative of current per-sector traffic;

receiving input indicative of expected future market traffic;

dividing the expected future market traffic into market-growth level groups;

assigning each of the plurality of sectors into sector-growth level groups, wherein each sector growth level group defines a traffic growth rate, and wherein each sector-growth level group corresponds to one of the market-growth level groups;

using the market-growth level groups, the sector-growth level groups, and the traffic growth rate to compute an expected growth scaling factor;

applying the expected growth scaling factor to each of the sector-growth level groups to compute expected future growth rates for each of the sector-growth level groups;

applying each of the expected future growth rates to the current per-sector traffic of each of the plurality of sectors to establish a measure of expected future per-sector traffic; and

outputting an indication of the expected future per-sector traffic.

14. A system for identifying future capacity problems in a wireless communication system comprising a plurality of base stations each having a respective radiation pattern defining one or more sectors comprising:

a processor;

data storage; and

machine language instructions stored in the data storage executable by the processor to perform functions including;

receiving input indicative of current per-sector traffic for each sector defined by a base station within a wireless communication system;

receiving input indicative of expected future market traffic, wherein a user inputs the input indicative of current per-sector traffic and the input indicative of expected future market traffic into the data storage;

using the expected future market traffic to extrapolate from the current per-sector traffic to establish a measure of expected future per-sector traffic;

receiving input indicative of future per-sector capacity;

comparing the future per-sector capacity with the measure of expected future per-sector traffic to identify future capacity problems in the wireless communication system; and

outputting an indication of the future capacity problems.

15. The system of claim 14 further comprising a computer screen to display a graphical representation of the indication of the future capacity problems.

16. In a wireless communication system comprising a plurality of base stations each having a respective radiation pattern defining one or more sectors, a method of identifying future capacity problems in the wireless communication system comprising:

receiving input indicative of current per-sector traffic;

receiving input indicative of expected future market traffic;

using the expected future market traffic to extrapolate from the current per-sector traffic to establish a measure of expected future per-sector traffic, wherein, to establish the measure of expected future per-sector traffic comprises establishing future per-sector traffic loading;

receiving input indicative of future per-sector capacity;

comparing the future per-sector capacity with the measure of expected future per-sector traffic to identify future capacity problems in the wireless communication system; and

outputting an indication of the future capacity problems.

17. The method of claim 16, wherein receiving input indicative of future per-sector capacity comprises receiving, per-sector, one or more inputs selected from the group consisting of number and type of users, an amount of expected future per-sector Erlang traffic, and an amount of expected future per-sector throughput traffic.

18. The method of claim 16, wherein comparing the future per-sector capacity with the measure of expected future per-sector traffic comprises comparing the future per-sector capacity with the future per-sector traffic loading.

19. The method of claim 16, wherein, to identify future capacity problems in the wireless communication system comprises identifying per-sector traffic overloading.

20. The method of claim 16, wherein outputting the indication of the future capacity problems comprises displaying a graphical representation of the per-sector traffic overloading.