MODELING MOBILE NETWORK PERFORMANCE

• US 20170064591A1
• Filed: 08/28/2015
• Published: 03/02/2017
• Est. Priority Date: 08/28/2015
• Status: Active Grant

• Current Assignee: Viavi Solutions UK Limted (Lumentum Holdings Inc.)
• Original Assignee: JDSU UK Limited (Lumentum Holdings Inc.)
• Inventors: ZADEH-KOOCHAK, Mohsen, PADFIELD, David Charles, THOMAS, Howard John, FEATHERSTONE, Walter
• Granted Patent: US 10,117,142 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 24/06 Testing, supervising or monitoring using simulated traffic
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports
• CPC Class Codes: H04W 36/0088 Scheduling hand-off measurements
• CPC Class Codes: H04W 36/165 for reducing network power consumption H04W36/18 - H04W36/22 take precedence
• CPC Class Codes: H04W 36/20 for optimising the interference level
• CPC Class Codes: H04W 72/20 Control channels or signalling for resource management

Abstract

A device obtains uplink information associated with a base station and obtains downlink information associated with a mobile device in communication with the base station. The device determines observed network performance information based on the uplink information and the downlink information and determines a predictive model, based on the uplink information and the downlink information, to predict network performance information. The device also changes network configuration data, associated with the base station, to generate changed network configuration data and determines predicted network performance information for the changed network configuration data based on the predictive model. The device further selectively transmits the changed network configuration data, to the base station, based on comparing the predicted network performance information and the observed network performance information.

Claims

1. A device for improving network performance, comprising:

one or more processors configured to;

obtain uplink information associated with a base station;

obtain downlink information associated with a mobile device in communication with the base station;

determine observed network performance information based on the uplink information and the downlink information;

determine a predictive model, based on the uplink information and the downlink information, to predict network performance information;

change network configuration data, associated with the base station, to generate changed network configuration data;

determine predicted network performance information for the changed network configuration data based on the predictive model; and

selectively transmit the changed network configuration data, to the base station, based on comparing the predicted network performance information and the observed network performance information.

2. The device of claim 1, where the predictive model is determined using an input that includes one or more of:

the downlink information, or

the network configuration data; and

where the uplink information is estimated uplink information; and

where the one or more processors, when obtaining the estimated uplink information, are to;

determine the estimated uplink information based on inputting at least one of the downlink information or the network configuration data into the predictive model.

3. The device of claim 2, where the one or more processors are to:

receive observed uplink information,

the observed uplink information being associated with the base station;

compare the observed uplink information and the estimated uplink information to determine that the base station is receiving an interfering signal; and

perform an action to mitigate the interfering signal.

4. The device of claim 1, where the one or more processors, when obtaining the downlink information, are to:

receive downlink information from a plurality of mobile devices associated with a plurality of cells.

5. The device of claim 1, where the uplink information is associated with an uplink between the base station and the mobile device;

and

where the downlink information is associated with a downlink between the base station and the mobile device.

6. The device of claim 1, where the predictive model is a first predictive model and the predicted network performance information is first predicted network performance information;

and

where the one or more processors are to;

determine a second predictive model based on the uplink information, the downlink information, and the first predicted network performance information,

the second predictive model predicting second predicted network performance information that is different than the first predicted network performance information.

7. The device of claim 1, where the uplink information includes one or more of:

a frequency of a downlink channel provided by the base station,

an uplink received signal strength indicator associated with the base station,

an uplink signal-to-noise ratio for information received by the base station,

an uplink modulation and coding scheme associated with the base station, or

a throughput associated with the base station.

8. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to;

obtain uplink information associated with a base station;

obtain downlink information associated with a mobile device in communication with the base station;

determine observed network performance information based on the uplink information and the downlink information;

determine a predictive model to predict network performance information;

determine predicted network performance information for the base station based on the predictive model, the uplink information, and the downlink information;

compare the predicted network performance information and the observed network performance information to determine that the base station receives an interfering signal; and

cause an action to be performed to mitigate the interfering signal.

9. The computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, cause the one or more processors to:

characterize the interfering signal based on at least one of;

a frequency range of the interfering signal,

a time of arrival of the interfering signal,

whether a source of the interfering signal is moving,

an amplitude of the interfering signal, or

a detail width of details of the interfering signal.

10. The computer-readable medium of claim 8, where the one or more instructions, when executed by the one or more processors, further cause the one or more processors to locate a source of the interfering signal.

11. The computer-readable medium of claim 10, where the base station is a first base station;

and

where the one or more instructions, that cause the one or more processors to locate the source of the interfering signal, cause the one or more processors to;

locate the source of the interfering signal by comparing uplink information from a second base station and the uplink information from the first base station.

12. The computer-readable medium of claim 11, where the one or more instructions, that cause the one or more processors to locate the source of the interfering signal, cause the one or more processors to:

locate the source of the interfering signal based on amplitudes of the interfering signal and times of arrival of the interfering signal at the first base station and the second base station.

13. The computer-readable medium of claim 11, where the one or more instructions, that cause the one or more processors to locate the source of the interfering signal, cause the one or more processors to:

locate the source of the interfering signal based on angles of arrival and antenna patterns of the interfering signal at the first base station and the second base station.

14. The computer-readable medium of claim 8, where the one or more instructions, that cause the one or more processors to cause the action to be performed, cause the one or more processors to at least one of:

cause the base station to change an amount of tilt of an antenna,

cause the base station to hand over the mobile device to another base station,

cause the base station to hand over the mobile device to another frequency,

cause the base station to hand over the mobile device to another carrier,

cause the base station to remove one or more network resources from uplink scheduling,

cause the base station to narrow a bandwidth of communication with the mobile device, or

cause the base station to change a frequency associated with a downlink to the mobile device.

15. A method for improving network performance, comprising:

obtaining, by a device, uplink information associated with a base station;

obtaining, by the device, downlink information associated with a mobile device in communication with the base station;

determining, by the device, observed network performance information based on the uplink information and the downlink information;

determining, by the device, a predictive model to predict network performance information;

changing, by the device, network configuration data, associated with the base station, to generate changed network configuration data;

determining, by the device, predicted network performance information for the changed network configuration data based on the predictive model; and

selectively transmitting, by the device, the changed network configuration data, to the base station, based on comparing the predicted network performance information and the observed network performance information.

16. The method of claim 15, where changing the network configuration data comprises:

changing the network configuration data to improve network performance with regard to the information associated with the mobile device.

17. The method of claim 16, where changing the network configuration data comprises:

changing the network configuration data to improve at least one of;

a probability of a dropped call,

a probability of a blocked call,

a power headroom of the mobile device,

a downlink received signal code power,

an uplink received signal strength indicator,

an uplink signal to noise ratio,

an uplink throughput,

a downlink energy per chip, or

a downlink noise power density.

18. The method of claim 15, where the predictive model is determined using an input that includes one or more of:

the downlink information, or

information regarding the network configuration data; and

where obtaining the uplink information comprises;

determining the uplink information based on inputting at least one of the downlink information or the network configuration data into the predictive model.

19. The method of claim 18, where determining the uplink information comprises:

determining the uplink information for the base station based on uplink information for neighboring base stations.

20. The method of claim 18, where the uplink information is estimated uplink information;

and

where the method further comprises;

receiving observed uplink information;

comparing the observed uplink information and the estimated uplink information to determine that the base station is receiving an interfering signal; and

performing an action to mitigate the interfering signal.