Systems and methods for identifying a source of radio frequency interference in a wireless network

1. A method, comprising:

identifying a first wireless station that has experienced radio frequency (RF) interference from an unknown interference source;

identifying one or more second wireless stations that have experienced similar interference;

scoring a plurality of estimated interference source locations based on a comparison of estimated interference to observed interference at the one or more second wireless stations;

identifying a predicted interference source location based on the scored plurality of estimated interference source locations;

determining whether the unknown interference source is a persistent interference source over a selected time period, wherein the predicted interference source location is identified for each interval in the selected time period;

retrieving the predicted interference source locations for each interval in the selected time period; and

calculating an aggregated predicted interference source location based on the retrieved predicted interference source locations.

2. The method of claim 1 , further comprising:

identifying one or more clusters based on the scored plurality of estimated interference source locations; and

identifying the predicted interference source location based on the one or more identified clusters.

3. The method of claim 1 , wherein the predicted interference source location is identified based on a centroid of the one or more identified clusters.

4. The method of claim 1 , wherein calculating the aggregated predicted interference source location based on the retrieved predicted interference source locations comprises:

performing k-means clustering based on the retrieved predicted interference source locations.

5. The method of claim 4 , further comprising:

identifying a number of clusters associated with the retrieved predicted interference source locations, wherein more than one cluster is indicative of more than one possible unknown interference source; and

performing the k-means clustering of the retrieved predicted interference source locations based on the identified a number of clusters.

6. The method of claim 5 , further comprising:

setting a value of k equal to the number of identified clusters.

7. The method of claim 1 , further comprising:

identifying wireless stations affected by the unknown interference source that are small cell wireless stations;

calculating estimated distances between to the unknown interference source and each of the identified small cell wireless stations; and

identifying a refined predicted interference source location based on the calculated estimated distances and relative locations of the identified small call wireless stations.

8. The method of claim 7 , further comprising:

identifying small cell wireless stations that are within a predetermined distance from the aggregated predicted interference source location;

calculating estimated distances between to the unknown interference source and each of the identified small cell wireless stations that are within the predetermined distance from the aggregated predicted interference source location; and

identifying the refined predicted interference source location based on the calculated estimated distances and relative locations of the identified small call wireless stations that are within the predetermined distance from the aggregated predicted interference source location.

9. The method of claim 7 , wherein calculating the estimated distances comprises performing free space path loss (FSPL) calculations for each of the identified small cell wireless stations.

10. The method of claim 1 , wherein the experienced RF interference comprises RF interference on at least one physical resource block (PRB) on the first wireless station, and

wherein identifying the one or more second wireless stations comprises identifying one or more second wireless stations that have experienced similar interference on the at least one PRB.

11. The method of claim 2 , wherein identifying the first wireless station comprises determining that a key performance indicator (KPI) for the at least one PRB on the first wireless station has a value indicative of interference.

12. The method of claim 3 , wherein the KPI comprises at least an uplink interference level.

13. A network device, comprising:

a communication interface configured to:

receive performance and location information regarding a plurality of wireless stations; and

a processing unit configured to:

identify a first wireless station that has experienced radio frequency (RF) interference from an unknown interference source based on the received performance and location information;

identify one or more second wireless stations that have experienced similar interference;

score a plurality of estimated interference source locations based on a comparison of estimated interference to observed interference at the one or more second wireless stations;

identify a predicted interference source location based on the scored plurality of estimated interference source locations;

determine whether the unknown interference source is a persistent interference source over a selected time period, wherein the predicted interference source location is identified for each interval in the selected time period;

retrieve the predicted interference source locations for each interval in the selected time period; and

calculate an aggregated predicted interference source location based on the retrieved predicted interference source locations.

14. The network device of claim 13 , wherein the processing unit configured to calculate the aggregated predicted interference source location based on the retrieved predicted interference source locations is configured to:

perform k-means clustering based on the retrieved predicted interference source locations.

15. The network device of claim 14 , wherein the processing unit is further configured to:

identify a number of clusters associated with the retrieved predicted interference source locations, wherein more than one cluster is indicative of more than one possible unknown interference source; and

perform the k-means clustering of the retrieved predicted interference source locations based on the identified a number of clusters.

16. The network device of claim 13 , wherein the processing unit is further configured to:

identify wireless stations affected by the unknown interference source that are small cell wireless stations;

calculate estimated distances between to the unknown interference source and each of the identified small cell wireless stations; and

identify a refined predicted interference source location based on the calculated estimated distances and relative locations of the identified small call wireless stations.

17. The network device of claim 16 , wherein the processing unit is further configured to:

identify small cell wireless stations that are within a predetermined distance from the aggregated predicted interference source location;

calculate estimated distances between to the unknown interference source and each of the identified small cell wireless stations that are within the predetermined distance from the aggregated predicted interference source location; and

identify the refined predicted interference source location based on the calculated estimated distances and relative locations of the identified small call wireless stations that are within the predetermined distance from the aggregated predicted interference source location.

18. The network device of claim 17 , wherein the processing unit configured to calculate the estimated distances between to the unknown interference source and each of the identified small cell wireless stations that are within the predetermined distance from the aggregated predicted interference source location is further configured to:

perform free space path loss (FSPL) calculations for each of the identified small cell wireless stations.

19. A non-transitory storage medium storing instructions executable by a network device, wherein the instructions comprise instructions to cause the network device to:

identify a first wireless station that has experienced radio frequency (RF) interference from an unknown interference source;

identify one or more second wireless stations that have experienced similar interference;

score a plurality of estimated interference source locations based on a comparison of estimated interference to observed interference at the one or more second wireless stations;

identify a predicted interference source location based on the scored plurality of estimated interference source locations;

determine whether the unknown interference source is a persistent interference source over a selected time period, wherein the predicted interference source location is identified for each interval in the selected time period;

retrieve the predicted interference source locations for each interval in the selected time period; and

calculate an aggregated predicted interference source location based on the retrieved predicted interference source locations.

20. The non-transitory storage medium of claim 19 , wherein the instructions comprise instructions to cause the network device to:

identify wireless stations affected by the unknown interference source that are small cell wireless stations;

calculate estimated distances between to the unknown interference source and each of the identified small cell wireless stations; and

identify a refined predicted interference source location based on the calculated estimated distances and relative locations of the identified small call wireless stations.