Wireless Broadband Network Management

• US 20100088410A1
• Filed: 03/11/2008
• Published: 04/08/2010
• Est. Priority Date: 04/30/2007
• Status: Abandoned Application

• Current Assignee: UBO Wireless Pty Limited ACN
• Original Assignee: UBO Wireless Pty Limited ACN
• Inventors: Ridley, Phillip Allan
• Application Number:
  US12/597,459
• Publication Number:
  US 20100088410A1
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: H04L 41/0896 Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities flow or congestion control using dynamic resource allocation, e.g. in-call renegotiation, H04L47/76
• CPC Class Codes: H04L 41/32 Specific management aspects for broadband networks
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/091 Measuring contribution of individual network components to actual service level

Abstract

This invention concerns the management of wireless broadband networks. In particular the invention concerns a wireless broadband network management system comprising a data collection engine to collect data concerning traffic levels through the network base transceiver stations (BTSs), and the BTSs to which particular customer premise equipment (CPE) can connect; and a processor to correlate the data collected; to monitor overall network performance; to aggregate performance of one or more CPEs and BTSs; to detect underperforming BTSs and CPEs; and to automate CPE connections and disconnections to improve network performance in real time. In another aspect, the invention is a method for managing broadband networks. In further aspect, the invention is a software to implement the method.

Claims

1. A wireless broadband network management system, comprising:

a data collection engine to collect data concerning traffic levels through the network base transceiver stations (BTSs), and the BTSs to which particular customer premise equipment (CPE) can connect; and

a processor to correlate the data collected;

to monitor overall network performance;

to aggregate performance of one or more CPES and BTSs;

to detect underperforming BTSs and CPEs; and

to automatically change connections between the BTSs and the CPEs according to two regimes operating in tandem, wherein

the first regimen selects CPEs and attempts to move them from busy BTSs to less busy BTSs; and

the second regimen filters CPE registration attempts on busy BTSs to divert the CPEs to less busy BTSs, to better balance the load.

2. A wireless broadband network management system according to claim 1, wherein the data is collected from element management systems in communication with the system:

the data includes one or more of BTS performance data, logs of the element management systems, and CPE registration and migration history.

3. A wireless broadband network management system according to claim 2, wherein the system performs the following at each cycle of the two regimes:

creating a BTS load matrix;

minimising the matrix using BTS-CPE connectivity data;

using extrapolation techniques to create a future estimated snapshot of the network load if a CPE is moved;

comparing the estimated snapshot to a target bandwidth to move;

and then creating a difference or perturbation matrix.

4. A wireless broadband network management system according to claim 1, wherein the target bandwidth to move depends on the total resource usage of all CPEs according to their profiles, and a time-varying gain factor to take into account dynamic CPE traffic demands.

5. A wireless broadband network management system according to claim 1, wherein a CPE is moved from an original BTS to a new BTS to a new BTS if:

the load level of the new BTS is lower level than the load level of the original BTS; and

,

the two BTSs are sufficiently different, that is the load level difference between the BTSs is at least a minimum load level difference.

6. A wireless broadband network management system according to claim 1, wherein the regimes operates in one of the following modes:

an overlay mode, where CPE is moved to a new BTS that has a direct capacity overlay as its original BTS; and

an overlay plus adjacent sector mode, where a CPE is moved to a new BTS that has a direct capacity overlay as its original BTS, or has an adjacent sector to its original BTS.

7. A wireless broadband network management system according to claim 1, wherein the system effects connection changes by:

telling a CPE that the BTS it is attached to is no longer a valid BTS allowed to service this CPE, and that the CPE is no longer nomadic.

probing the CPE which action initiates a CPE-driven BTS search, and it will then attach to BTSs it can see until it eventually ‘

lands’

on the desired target BTS.

at that time setting the CPE to Nomadic with Preferred, with its Home BTS and Neighbouring BTS settings configured to prefer it to the new target BTS, and away from the original BTS;

and finally several tracking tasks are then created to watch the CPE over time and update any statistics for reference when contemplating future moves.

8. A wireless broadband network management system according to claim 1 wherein the system reduces its own workload over time by creating settled populations of CPEs that will stay on the optimal BTSs even after the CPE has been reset or power recycled.

9. A wireless broadband network management system according to claim 1 wherein the system further comprises a plurality of canaries programmed to receive commands from the system to run a series of tests to assess the network performance from the end customer point of view and report the results to the system.

10. A wireless broadband network management system according to claim 9, wherein the tests include Voice Over Internet Protocol (VOIP), Mean Opinion Score (MOS), HTTP throughput, packet loss, jitter and latency tests.

11. A wireless broadband network management system according to claim 1 wherein the system further performs regression tracking on the traffic data collected to track changes in network performance.

12. A wireless broadband network management system according to claim 1 wherein the system further uses the correlated data to compute a resource usage ratio representing the air interface efficiency between a CPE and a BTS.

13. A wireless broadband network management system according to claim 12, wherein the system uses the resource usage ratio to detect CPEs that violate their acceptable usage policy and when a violating CPE is detected, the system performs one or more or the following:

changing the speed descriptor of the CPE to a lower minimum resource allocation;

dropping the CPE to a lower descriptor class of service until the CPE complies with its acceptable usage policy;

sending warning messages to the CPE;

placing the CPE as the first choice of being moved to a new BTS, and increasing the number of times this CPE can be disturbed over time; and

,

disabling the CPE.

14. A wireless broadband network management system according to claim 1 wherein the system analyses aggregate performance data of one or more CPEs and BTSs to answer natural language queries.

15. A wireless broadband network management system according to claim 1 wherein the system further performs BTS performance optimisation, comprising the steps of:

extracting BTS performance data from the data collected;

inferring BTS optimal settings for a variety of operating conditions,

computing an optimal settings for each BTS based known relationships among the BTSs, and

tuning the BTS settings and changing CPE connections to achieve the optimal settings computed.

16. A method for managing wireless broadband networks, comprising the steps of:

collecting data concerning traffic levels through the network base transceiver stations (BTSs), and the BTSs to which particular customer premise equipment (CPE) can connect using a data collection engine;

correlating the data collected;

monitoring overall network performance;

aggregating performance of one or more CPEs and BTSs;

detecting underperforming BTSs and CPEs; and

,

automatically causing CPE connections and disconnections from a BTS to improve network performance in real time.

17. A software operable to implement the method according to claim 16.