Detecting of sleeping cell in a mobile network
A method includes collecting data related to a key performance indicator (KPI) for a cell in a mobile network. The method includes aggregating the collected data for the KPI into a plurality of groups, wherein a first group of the plurality of groups comprises values of the KPI during a time period in a first day, a second group of the plurality of groups comprises values of the KPI during the time period in a second day preceding the first day, and a third group of the plurality of groups comprises values of the KPI during the time period in a third day preceding the second day. The method includes determining whether the cell is a sleeping cell based on a comparison of the first, second and third groups. The method includes labelling the cell as sleeping in response to a determination that the cell is sleeping.
1. A method comprising:
collecting data related to a first key performance indicator (KPI) for a cell in a mobile network;
aggregating the collected data for the first KPI into a plurality of groups, wherein a first group of the plurality of groups comprises values of the first KPI during a time period in a first day, a second group of the plurality of groups comprises values of the first KPI during the time period in a second day preceding the first day, and a third group of the plurality of groups comprises values of the first KPI during the time period in a third day preceding the second day;
determining whether the cell is a sleeping cell based on a comparison of the first group, the second group and the third group; and
labelling the cell as sleeping in response to a determination that the cell is the sleeping cell.
2. The method of claim 1 , wherein collecting the data related to the first KPI comprises collecting data related to zero radio resource control (Zero RRC), cyclic redundancy check (CRC), or system information block (SIB).
3. The method of claim 1 , wherein aggregating the collected data comprises setting the second day to be a day immediately preceding the first day.
4. The method of claim 3 , wherein aggregating the collected data comprises setting the third day to be a day one week prior to the first day.
5. The method of claim 1 , further comprising:
collecting data related to a second KPI, different from the first KPI, from the cell in response to a determination that the cell is not the sleeping cell;
aggregating the collected data for the second KPI; and
determining whether the cell is the sleeping cell based on the aggregated data for the second KPI.
6. The method of claim 5 , further comprising:
collecting data related to a third KPI, different from the first KPI and the second KPI, from the cell in response to a determination that the cell is not the sleeping cell;
aggregating the collected data for the third KPI; and
determining whether the cell is the sleeping cell based on the aggregated data for the third KPI.
7. The method of claim 6 , wherein colleting the data related to the first KPI comprises collecting data related to Zero RRC, collecting data related to the second KPI comprises collecting data related to CRC, collecting data related to the third KPI comprises collecting data related to SIB.
8. The method of claim 1 , wherein determining whether the cell is the sleeping cell comprises using a machine learning system.
9. The method of claim 1 , further comprising alerting a network operator in response to labelling the cell as sleeping.