Method for capacity and coverage optimization of a multi-RAT network

1. A method to be implemented in a computing device, the method comprising:

identifying multi-RAT sectors in the multi-RAT cellular network, each multi-RAT sector corresponding to at least a first cell that supports a first RAT and a second cell that supports a second RAT but that does not support the first RAT, the first and second cells being co-located and having cell azimuths within an acceptance margin of one another;

analyzing multi-RAT sector key performance indicators (KPIs) of each multi-RAT sector to determine one or more worst-performing multi-RAT sectors, the multi-RAT sector KPIs including (1) a ratio of first RAT-capable UE traffic in an RRC connected state served by all second RAT carrier(s) belonging to the multi-RAT sector to all UEs served in second RAT carriers in the RRC connected state (Served % NotOnFirstRAT);

identifying a cellular network geographical problem area having second RAT cellular coverage but not having first RAT cellular coverage, the cellular network geographical problem area identified for the one or more worst-performing multi-RAT sectors based, at least in part, on geographical bin KPIs for a geographical subset of the one or more worst-performing multi-RAT sectors; and

updating configuration parameters of one or more cells of each worst-performing multi-RAT sector that support the first RAT to improve a signal level in each cellular network geographical problem area.

2. The method of claim 1 , wherein the multi-RAT sector KPIs further include (2) a ratio of RRC (radio resource control) setup failures to total RRC setup establishment attempts on the first RAT (ERrc % AccFail), (3) a ratio of abnormal first RAT call terminations due to EnB to total call releases on the first RAT (ERab % Drop), and (3) a ratio of UE (user equipment) context inter radio access technology (IRAT) relocation successes from the first RAT to the second RAT to total first RAT UE context establishments (Irat % Reloc).

3. The method of claim 1 , wherein analyzing the multi-RAT sector KPIs comprises calculating a unified cost metric based on the multi-RAT sector KPIs.

4. The method of claim 1 , wherein the geographical subset includes a plurality of geographical bins.

5. The method of claim 4 , further comprising calculating a weak-coverage degree per bin using a unified cost metric per bin, the unified metric based on the bin KPIs.

6. The method of claim 5 , wherein the bin KPIs include ERabDrop and IratReloc.

7. The method of claim 4 , further comprising identifying weak coverage symptom events including at least one of (a) a count of inter radio access technology (IRAT) redirection events per bin, (b) a count of abnormal call releases per bin, the count of abnormal call releases per bin measured on the first RAT, or (c) a received power measurement of user equipment located in each bin, the user equipment communicating on the first RAT.

8. The method of claim 4 , further comprising identifying a coverage compensator cell for each cellular network geographical problem area, the coverage compensator cell supporting the first RAT.

9. The method of claim 8 , further comprising updating the configuration parameters of each coverage compensator cell to increase its signal coverage area.

10. The method of claim 9 , wherein the updated configuration parameters include at least one of an electrical tilt increase of an antenna for the coverage compensator cell or a coverage compensator cell power increase.

11. The method of claim 9 , further comprising excluding one or more coverage compensator cells from the configuration parameters update.

12. The method of claim 4 , further comprising identifying a polluter cell for at least one of the cellular network geographical problem areas, the polluter cell supporting the first RAT.

13. The method of claim 12 , further comprising updating the configuration parameters of the polluter cell to decrease its signal coverage area.

14. The method of claim 13 , wherein the updated configuration parameters include at least one of an electrical tilt decrease of an antenna for the polluter cell or a polluter cell power decrease.

15. The method of claim 14 , further comprising excluding one or more cells from the configuration parameters update.

16. The method of claim 1 , further comprising:

identifying an overshooter cell in the target area; and

updating configuration parameters of the overshooter cell to decrease its signal coverage area.

17. The method of claim 1 , further comprising:

identifying an undershooter cell in the target area; and

updating configuration parameters of the undershooter cell to increase its signal coverage area.

18. The method of claim 1 , wherein the first RAT is an Nth generation mobile communication system and the second RAT is an N−1th generation mobile communication system.

19. The method of claim 18 , wherein the first RAT is LTE and the second RAT is UMTS.

20. A non-transitory computer-readable medium having stored thereon program instructions that, when executed by a computer system, cause the computer system to:

identify multi-radio access technology (RAT) sectors in a multi-RAT cellular network, each multi-RAT sector corresponding to at least a first cell that supports a first RAT and a second cell that supports a second RAT but that does not support the first RAT, the first and second cells being co-located and having cell azimuths within an acceptance margin of one another;

analyze multi-RAT sector key performance indicators (KPIs) of each multi-RAT sector to determine one or more worst-performing multi-RAT sectors, the multi-RAT sector KPIs including a ratio of first RAT-capable UE traffic in an RRC connected state served by all second RAT carrier(s) belonging to the multi-RAT sector to all UEs served in second RAT carriers in the RRC connected state (Served % NotOnFirstRAT);

identify a cellular network geographical problem area having second RAT cellular coverage but not having first RAT cellular coverage, the cellular network geographical problem area identified for the one or more worst-performing multi-RAT sectors based, at least in part, on geographical bin KPIs for a geographical subset of the one or more worst-performing multi-RAT sectors; and

update configuration parameters of one or more cells of each worst-performing multi-RAT sector that support the first RAT to improve a signal level in each cellular network geographical problem area.