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System and method for user directed, dynamic bandwidth choice based on usage analytics

IP.com Disclosure Number: IPCOM000238478D
Publication Date: 2014-Aug-27
Document File: 2 page(s) / 27K

Publishing Venue

The IP.com Prior Art Database


A system and method for user directed, dynamic bandwidth choice based on usage analytics is disclosed.

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System and method for user directed , dynamic bandwidth choice based on usage analytics

Disclosed is a system and method for user directed, dynamic bandwidth choice based on usage analytics.

Today, users must commit to a fixed price, fixed bandwidth plan for personal networking. To manage expenses, users often chose a fixed bandwidth that suits their needs most of the time, but, not always. Additionally, many users of personal networking bandwidth also travel frequently (vacation, work, etc.). In these cases, the user is paying for bandwidth not being used.

Examples of issues that result from this include:

User streams an High-definition (HD) movie to a television while attempting to download two other HD movies on separate devices. Live HD image becomes choppy due to lack of bandwidth. User goes on a business trip for the entire week, leaving Sunday afternoon and returning Saturday morning. User spends money for bandwidth not used for a whole week. User has family in town for a week, and the family has all brought bandwidth consuming devices with them, resulting in overall poor response for all.

There are many other examples, but they all fall into the category of either over or under subscribing on fixed price, fixed bandwidth contracts.

Today, the network providers are able to detect a wide variety of real time data about the consumption of network traffic for an individual subscriber. Correspondingly, users have, generally, become more aware of when they are using bandwidth and when they are not. This information is used to manage workloads within the system, but is not currently reflected in any form of unique business models.

The disclosed system and method utilizes user specific information to establish new business models which, when managed correctly, are likely to increase revenue and also reduce cost.

The following are example embodiments:

When detecting that a user has hit a consumption ceiling for some steady state


period of time (ie, seconds, not milliseconds), the provider can send a notification (e.g. Short Message Service (SMS) message) to the subscriber notifying them of the ceiling and asking them if they would like a "immediately and temporary boost bandwidth" for some small fee (e.g. 2 hours of double speed for $2.95). Options to the user might be: Yes, No, Inspect. Where Inspect is a directive to the provider to l...