Apparatus and methods for dynamically configurable wireless network

• US 20060203743A1
• Filed: 03/10/2005
• Published: 09/14/2006
• Est. Priority Date: 03/10/2005
• Status: Abandoned Application

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Mehta, Pratik M., Quinn, Liam B., Sicher, Alan E.
• Application Number:
  US11/076,690
• Publication Number:
  US 20060203743A1
• Time in Patent Office: Days
• US Class Current: 370/254
• CPC Class Codes: H04L 41/0803 Configuration setting
• CPC Class Codes: H04L 41/0886 Fully automatic configuration
• CPC Class Codes: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition

Abstract

An information handling system includes a plurality of access points, a radio network manager, and a database. The access points couple to form a wireless network. Each access point communicates with at least one mobile client. The radio network manager couples to the access points. The radio network manager is configured to dynamically control the operation of the access points. The database couples to the radio network manager and stores information about the wireless network.

Claims

1. An information handling system, comprising:

a plurality of wireless access points coupled in a wireless network, each access point in the plurality of access points configured to communicate with at least one respective mobile client;

a radio network manager coupled to the plurality of access points, the radio network manager configured to dynamically control the plurality of access points; and

a database coupled to the radio network manager, the database configured to store information about the wireless network.

2. The information handling system according to claim 1, wherein the at least one mobile client provides a first set of information items about a communication link between the at least one mobile client and the respective access point in the plurality of access points.

3. The information handling system according to claim 2, wherein each access point in the plurality of access points provides to the radio network manager a second set of information items about communication between the access point and the respective at least one client.

4. The information handling system according to claim 3, wherein each access point in the plurality of access points provides the first set of information items to the radio network manager.

5. The information handling system according to claim 4, wherein the radio network manager calculates network tuning parameters based on the first and second sets of information items.

6. The information handling system according to claim 5, wherein the radio network manager further uses a network model stored in the measurement database to calculate network tuning parameters.

7. The information handling system according to claim 5, wherein the radio network manager uses the network tuning parameters to control the plurality of access points.

8. The information handling system according to claim 1, further comprising a virtual local area network coupled to the plurality of access points.

9. The information handling system according to claim 1, wherein a set of access points in the plurality of access points provide dynamic capacity and coverage overbuild and control within the information handling system.

10. The information handling system according to claim 1, wherein the radio network manager and the database reside within a computer.

11. The information handling system according to claim 1, wherein the radio network manager controls the plurality of access points so as to optimize an operation of the wireless network.

12. A method of dynamically configuring an operation of a wireless network, the wireless network including a plurality of access points each in wireless communication with at least one client, the method comprising:

obtaining information about communication between each access point in the plurality of access points and the respective at least one client;

obtaining information about operating characteristics of the plurality of access points;

calculating parameters relating to operation of the wireless network; and

using the calculated parameters to tune the wireless network.

13. The method according to claim 12, wherein calculating parameters relating to operation of the wireless network further comprises using a model of the wireless network, the model configured to include information about the wireless network.

14. The method according to claim 13, wherein the model of the wireless network is obtained by:

(a) obtaining information about the wireless network, (b) building the model of the wireless network, (c) storing the model of the wireless network, and (d) updating the model of the wireless network.

15. The method according to claim 12, further comprising:

fetching information stored in a database that includes information about the wireless network;

calculating time-variant information about the wireless network;

determining a level of interference in the wireless network;

providing coverage profiling of the wireless network;

updating the information stored in the database.

16. The method according to claim 13, wherein calculating parameters relating to operation of the wireless network further comprises analyzing the model of the wireless network, information about communication between each access point in the plurality of access points and the respective at least one client, and information about operating characteristics of the plurality of access points.

17. The method according to claim 15 wherein analyzing the model of the wireless network, information about communication between each access point in the plurality of access points and the respective at least one client, and information about operating characteristics of the plurality of access points further comprises using an iterative optimization technique.

18. The method according to claim 16, wherein using the iterative optimization technique further comprises optimizing for at least one goal, given at least one constraint.

19. The method according to claim 17, wherein using the iterative optimization technique further comprises using linear programming or integer programming.

20. The method according to claim 12, wherein using the calculated parameters to tune the wireless network further comprises controlling an operation of the plurality of access points.