Brokering services between wireless device users and operators

• US 20060166669A1
• Filed: 01/27/2005
• Published: 07/27/2006
• Est. Priority Date: 01/27/2005
• Status: Abandoned Application

• Current Assignee: Lucent Technologies, Inc. (Nokia Corporation)
• Original Assignee: Lucent Technologies, Inc. (Nokia Corporation)
• Inventors: Claussen, Holger
• Application Number:
  US11/044,250
• Publication Number:
  US 20060166669A1
• Time in Patent Office: Days
• US Class Current: 455/435.300
• CPC Class Codes: H04M 15/00 Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
• CPC Class Codes: H04M 15/46 Real-time negotiation between users and providers or operators
• CPC Class Codes: H04M 15/805 Bidding
• CPC Class Codes: H04M 2215/56 On line or real-time flexible agreements between service providers and telecoms operators
• CPC Class Codes: H04M 2215/7457 Biding
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/24 Accounting or billing

Abstract

The present invention provides a method and an apparatus for brokering a service contract between a user of a mobile communication device and an operator to provide a service over a network. Specifically, the method comprises receiving information on traffic load on a network and a negotiated price of a type of a wireless service based on a location of a user in the network. The method further comprises using information on the negotiated price to determine price data and demand data for the type of wireless service based on the location of the user and/or the traffic load on the network. In this way, the method may estimate cost of providing the wireless service to the user by a first operator based on the price data and demand data. For example, a telecommunication system includes a broker for exchanging data over a network between a plurality of mobile communication devices each including a user negotiating agent and a multiplicity of operators each including an operator negotiating agent to negotiate a service cost according to one illustrative embodiment. In response to a request for a wireless service, a service brokering agent may predict a price of the request to the user based on a price data map and a demand data map and provide pricing statistics associated with the request to an operator, resulting in substantial price savings to the user and additional revenue to the operator.

Claims

1. A method comprising:

receiving information on traffic load on a network and a negotiated price of a type of a wireless service based on a location of a user in said network;

using information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network; and

estimating cost of providing said wireless service to said user by a first operator based on said price data and said demand data.

2. A method, as set forth in claim 1, further comprising:

generating at least one of a first map indicative of price data and a second map indicative of demand data for said type of said wireless service based on said location of said user at a particular time and said negotiated price; and

in response to a request for said wireless service, predicting a price of said request to said user based on said at least one of said first and second map and providing pricing statistics associated with said request to said first operator.

3. A method, as set forth in claim 2, further comprising:

negotiating price of said request between said user and said first operator for a mobile communication device.

4. A method, as set forth in claim 3, further comprising:

collecting pricing information of said request based on said location of said user from a second operator capable of competing for said request.

5. A method, as set forth in claim 4, further comprising:

brokering a service contract between said user and said first operator based on said pricing information in real-time.

6. A method, as set forth in claim 4, further comprising:

processing said pricing information to generate said at least one of said first map indicative of price data and second map indicative of demand data in a mobile communication environment based on said location of said user at said particular time.

7. A method, as set forth in claim 6, further comprising:

providing at least one of a first statistics indicative of pricing and a second statistics indicative of user demand to at least one said first and second operators corresponding to said at least one of said first map indicative of price data and second map indicative of demand data.

8. A method, as set forth in claim 2, further comprising:

estimating positions of one or more mobile communication devices at the time of said request within a service coverage area for said type of said wireless service.

9. A method, as set forth in claim 8, further comprising:

generating a database of negotiated prices of said type of said wireless service based on a location and time of said one or more mobile communication devices.

10. A method, as set forth in claim 9, further comprising:

extrapolating prices to one or more positions of interest within said service coverage area to predict a price range for said type of said wireless service at a desired position and time based on said positions of one or more mobile communication devices and said database of negotiated prices of said type of said wireless service.

11. A mobile communication device associated with a network, said mobile communication device comprising:

an agent capable of communicating with a broker to negotiate a price of a wireless service from a first operator within a service coverage area for a user, wherein said broker is adapted to;

receive information on traffic load on said network and a negotiated price of a type of said wireless service based on a location of said user in said network,

use information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network, and

estimate cost of providing said wireless service to said user by said first operator based on said price data and demand data.

12. A mobile communication device, as set forth in claim 11, wherein a price of said wireless service is based on said type of said wireless service, a channel condition to said user, an interference level and said traffic load on said network.

13. A mobile communication device, as set forth in claim 11, wherein said broker to:

generate a first map indicative of price data and a second map indicative of demand data for said type of said wireless service based on said location of said user at a particular time and said negotiated price to cause said agent to influence a price for a request for said wireless service by moving said mobile communication device from a first area to a second area within said service coverage area with said second area having a relatively better coverage, less network congestion or better channel conditions than said first area; and

broker a service contract in real-time between said user and said first operator based on pricing information of said request based on said location of said user from a second operator capable of competing for said request to provide a location based price prediction service to said user.

14. A mobile communication device, as set forth in claim 11, wherein said mobile communication device being defined at least in part by a Universal Mobile Telecommunication System (UMTS) protocol.

15. An operator associated with a network to provide a wireless service to a mobile communication device, said operator comprising:

an agent capable of communicating with a broker to negotiate a price of said wireless service for a user within a service coverage area, wherein said broker is adapted to;

receive information on traffic load on said network and a negotiated price of a type of said wireless service based on a location of said user in said network,

use information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network, and

estimate cost of providing said wireless service to said user by said operator based on said price data and demand data.

16. An operator, as set forth in claim 15, wherein said broker is adapted to:

provide pricing statistics associated with a request for said wireless service, said pricing statistics include at least one of a first statistics indicative of pricing and a second statistics indicative of user demand corresponding to at least one of a first map indicative of price data and a second map indicative of demand data; and

broker a service contract in real-time between said user and said operator based on pricing information of said request based on said location of said user at a particular time from a second operator capable of competing for said request to optimize said network for a desired profit.

17. An operator, as set forth in claim 15, wherein said operator being defined at least in part by a Universal Mobile Telecommunication System (UMTS) protocol.

19. A telecommunication system, as set forth in claim 16, wherein said one or more mobile communication devices and said first operator being defined at least in part by a Universal Mobile Telecommunication System (UMTS) protocol.

18. A telecommunication system comprising:

a broker including a controller that negotiates a price of a request within a service coverage area from a user for a wireless service between a first operator coupled to one or more mobile communication devices over a network; and

a memory coupled to said controller, said memory storing instructions to;

receive information on traffic load on said network and a negotiated price of a type of said wireless service based on a location of said user in said network,

use information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network, and

estimate cost of providing said wireless service to said user by said first operator based on said price data and demand data.

20. An apparatus for exchanging data with a mobile communication device and an operator over a network to negotiate a service contract between a user and a service provider, the apparatus comprising:

means for receiving information on traffic load on said network and a negotiated price of a type of a wireless service based on a location of said user in said network;

means for using information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network; and

means for estimating cost of providing said wireless service to said user by said operator based on said price data and demand data.

21. An article comprising a computer readable storage medium storing instructions that, when executed cause a system to:

receive information on traffic load on a network and a negotiated price of a type of a wireless service based on a location of a user in said network;

use information on said negotiated price to determine price data and demand data for said type of said wireless service based on at least one of said location of said user and said traffic load on said network; and

estimate cost of providing said wireless service to said user by a first operator based on said price data and demand data.

22. An article, as set forth in claim 21, comprising a medium storing instructions that, when executed cause a system to:

generate at least one of a first map indicative of price data and a second map indicative of demand data for said type of said wireless service based on said location of said user at a particular time and said negotiated price; and

in response to a request for said wireless service, predict a price of said request to said user based on said at least one of said first and second map and provide pricing statistics associated with said request to said first operator.

23. An article, as set forth in claim 22, comprising a medium storing instructions that, when executed cause a system to:

negotiate price of said request between said user and said first operator for a mobile communication device.

24. An article, as set forth in claim 23, comprising a medium storing instructions that, when executed cause a system to:

collect pricing information of said request based on said location of said user from a second operator capable of competing for said request; and

broker a service contract between said user and said first operator based on said pricing information in real-time.

25. An article, as set forth in claim 24, comprising a medium storing instructions that, when executed cause a system to:

process said pricing information to generate said at least one of said first map indicative of price data and second map indicative of demand data in a mobile communication environment based on said location of said user at said particular time; and

provide at least one of a first statistics indicative of pricing and a second statistics indicative of user demand to at least one said first and second operators corresponding to said at least one of said first map indicative of price data and second map indicative of demand data.