Systems and methods for dynamically allocating bandwidth in a digital ...

1. A method of dynamically allocating bandwidth in a digital broadband delivery method, the method comprising:

receiving information describing subscriber requests for content delivery;

receiving bandwidth allocation criteria comprising at least one of subscriber pricing information, content delivery mode information, and program content information; and

processing the information describing subscriber requests and the bandwidth allocation criteria, according to a statistical model, to produce a bandwidth allocation schedule in which one of a plurality of content delivery modes is assigned to each of a plurality of digital transmission channels for each of a plurality of time periods.

2. The method of claim 1, wherein the processing further comprises:

processing the subscriber request information and the bandwidth allocation criteria according to a predetermined statistical model designed to maximize a total number of subscriber requests fulfilled.

3. The method of claim 1, wherein the processing further comprises:

processing the subscriber request information and the bandwidth allocation criteria according to a predetermined statistical model designed to maximize revenue generated from the bandwidth.

4. The method of claim 1, wherein the processing further comprises:

processing the subscriber request information and the bandwidth allocation criteria according to a predetermined statistical model, the model based on analysis of a history describing bandwidth consumption of subscribers over time.

5. The method of claim 1, wherein the bandwidth allocation criteria further comprises subscriber priority data which prioritizes requests of one subscriber above the requests of another subscriber.

6. The method of claim 1, further comprising:

repeating the receiving information and receiving bandwidth allocation criteria;

determining whether to revise the statistical model based on changes in bandwidth demand or changes in bandwidth consumption pattern; and

updating the statistical model with the newly received information based on the determination.

7. The method of claim 1, wherein the processing further comprises producing the bandwidth allocation schedule which includes a particular program that is repeatedly broadcast at non-linear non-decreasing time intervals.

8. The method of claim 1, wherein the processing further comprises producing the bandwidth allocation schedule which includes a program which is repeatedly broadcast at a non-linear progression rate with start times that double the time separation between the two previous start times.

9. The method of claim 1, wherein the processing further comprises producing the bandwidth allocation schedule which includes a program which is repeatedly broadcast using a non-linear progression of the program's start time that is proportionate to a personal activity duration, the personal activity gathered from historical subscriber viewing data.

10. The method of claim 1, wherein the processing further comprises selecting the bandwidth allocation schedule from one of a plurality of pre-configured allocation schedules.

11. A headend in a digital broadband delivery system comprising:

memory having program code stored thereon; and

a processor that is programmed by the program code to:

receive information describing subscriber requests for content delivery;

receive bandwidth allocation criteria comprising at least one of subscriber pricing information, content delivery mode information, and program content information; and

process the information describing subscriber requests and the bandwidth allocation criteria, according to a statistical model, to produce a bandwidth allocation schedule in which one of a plurality of content delivery modes is assigned to each of a plurality of digital transmission channels for each of a plurality of time periods.

12. The headend of claim 11, wherein the statistical model is a predetermined statistical model designed to maximize a total number of subscriber requests fulfilled.

13. The headend of claim 11, wherein the statistical model is a predetermined statistical model designed to maximize revenue generated from the bandwidth.

14. The headend of claim 11, wherein the statistical model is a predetermined statistical model based on analysis of a history describing bandwidth consumption of subscribers over time.

15. The headend of claim 11, wherein the bandwidth allocation criteria further comprises subscriber priority data which prioritizes requests of one subscriber above the requests of another subscriber.

16. The headend of claim 11, wherein the processor is further programmed by the program code to:

repeat the receiving information and receiving bandwidth allocation criteria;

determine whether to revise the statistical model based on changes in bandwidth demand or changes in bandwidth consumption pattern; and

update the statistical model with the newly received information based on the determination.

17. A computer-readable medium having a computer program for dynamically allocating bandwidth in a digital broadband delivery system, the computer program comprising logic executed by a processor, said computer readable medium comprising:

logic configured to receive information describing subscriber requests for content delivery;

logic configured receive bandwidth allocation criteria comprising at least one of subscriber pricing information, content delivery mode information, and program content information; and

logic configured process the information describing subscriber requests and the bandwidth allocation criteria, according to a statistical model, to produce a bandwidth allocation schedule in which one of a plurality of content delivery modes is assigned to each of a plurality of digital transmission channels for each of a plurality of time periods.

18. The computer-readable medium of claim 17, wherein the statistical model is a predetermined statistical model designed to maximize revenue generated from the bandwidth.

19. The computer-readable medium of claim 17, wherein the statistical model is a predetermined statistical model based on analysis of a history describing bandwidth consumption of subscribers over time.