Granted Patent B2

US 12,526,723 · App. 18/016,718 · Granted Jan 13, 2026

Inventors: Atul Rajpoot (Indore, IN); Nilesh Bankar (Indore, IN); Durgesh Rathore (Indore, IN); Sudeep Kumar Jain (Indore, IN)

Assignee: RAKUTEN SYMPHONY, INC.

H04W40/205H04W16/28H04W24/04

Abstract

Claims (66)

1 . A method for service gap mitigation via tilt recommendation, the method comprising:

identifying a candidate cell;

generating boundaries of a service gap, the generated boundaries defining a shape of an identified geographic location of the service gap;

determining a best server plot of the candidate cell, the best server plot being a planned coverage area of the candidate cell;

determining geo-located samples of the candidate cell;

categorizing the candidate cell based on an overlap between the identified geographic location of the service gap and at least one of the best server plot or locations of the geo-located samples; and

calculating an electronic tilt based on the categorization,

wherein the categorizing the candidate cell based on the overlap between the identified geographic location of the service gap and at least one of the best server plot or locations of the geo-located samples further comprises:

determining a first percentage, the first percentage being a percentage of the best server plot that lies within the boundaries of the service gap; and

determining the first percentage is greater than or equal to a first threshold percentage.

2 . The method of claim 1 , wherein the categorizing the candidate cell based on the boundaries of the service gap and at least one of the best server plot or the geo-located samples further comprises:

determining a second percentage, the second percentage being the percentage of geo-located samples that lie within the boundaries of the service gap; and

determining the second percentage is greater than or equal to a second threshold percentage.

3 . The method of claim 1 , wherein the categorizing the candidate cell based on the boundaries of the service gap and at least one of the best server plot or the geo-located samples further comprises:

categorizing the candidate cell as a best server plot type when the first percentage is greater than or equal to the first threshold percentage.

4 . The method of claim 2 , wherein the categorizing the candidate cell based on the boundaries of the service gap and at least one of the best server plot or the geo-located samples further comprises:

categorizing the candidate cell as a geo-located sample type when the second percentage is greater than or equal to the second threshold percentage.

5 . The method of claim 1 , wherein the calculating the electronic tilt based on the categorization further comprises:

calculating the electronic tilt using a first algorithm if a clutter type of the candidate cell is a first clutter type; and

calculating the electronic tilt using a second algorithm if the clutter type of the candidate cell is a second clutter type.

6 . The method of claim 5 , wherein:

the first clutter type is either dense urban, mid-urban, or urban; and

the second clutter type is either rural urban or sub-urban.

7 . An information processing system for service gap mitigation via tilt recommendation, the information processing system comprising:

at least one memory configured to store computer program code; and

at least one processor configured to access said at least one memory and operate as instructed by said computer program code, said computer program code including:

identifying code configured to cause at least one of the at least one processor to identify a candidate cell,

generating code configured to cause at least one of the at least one processor to generate boundaries of a service gap, the generated boundaries defining a shape of an identified geographic location of the service gap,

first determining code configured to cause at least one of the at least one processor to determine a best server plot of the candidate cell, the best server plot being a planned coverage area of the candidate cell,

second determining code configured to cause at least one of the at least one processor to determine geo-located samples of the candidate cell,

categorizing code configured to cause at least one of the at least one processor to categorize the candidate cell based on an overlap between the identified geographic location of the service gap and at least one of the best server plot or locations of the geo-located samples, and

calculating code configured to cause at least one of the at least one processor to calculate an electronic tilt based on the categorization,

wherein said computer program code further comprises:

third determining code configured to cause at least one of the at least one processor to determine a first percentage, the first percentage being a percentage of the best server plot that lies within the boundaries of the service gap; and

fourth determining code configured to cause at least one of the at least one processor to determine the first percentage is greater than or equal to a first threshold percentage.

8 . The information processing system of claim 7 , further comprising:

third determining code configured to cause at least one of the at least one processor to determine a second percentage, the second percentage being the percentage of geo-located samples that lie within the boundaries of the service gap; and

fourth determining code configured to cause at least one of the at least one processor to determine the second percentage is greater than or equal to a second threshold percentage.

9 . The information processing system of claim 7 , wherein the categorizing code is further configured to cause at least one of the at least one processor to categorize the candidate cell as a best server plot type when the first percentage is greater than or equal to the first threshold percentage.

10 . The information processing system of claim 8 , wherein the categorizing code is further configured to cause at least one of the at least one processor to categorize the candidate cell as a geo-located sample type when the second percentage is greater than or equal to the second threshold percentage.

11 . The information processing system of claim 7 , wherein the calculating code is further configured to cause at least one of the at least one processor to:

calculate the electronic tilt using a first algorithm if a clutter type of the candidate cell is a first clutter type; and

calculate the electronic tilt using a second algorithm if the clutter type of the candidate cell is a second clutter type.

12 . The information processing system of claim 11 , wherein:

the first clutter type is either dense urban, mid-urban, or urban; and

the second clutter type is either rural urban or sub-urban.

13 . A non-transitory computer-readable recording medium having recorded thereon a program for performing a method of service gap mitigation via tilt recommendation, the program configured to cause a computer to:

identify a candidate cell;

generate boundaries of a service gap, the generated boundaries defining a shape of an identified geographic location of the service gap;

determine a best server plot of the candidate cell, the best server plot being a planned coverage area of the candidate cell;

determine geo-located samples of the candidate cell;

categorize the candidate cell based on an overlap between the identified geographic location of the service gap and at least one of the best server plot or locations of the geo-located samples; and

calculate an electronic tilt based on the categorization,

wherein the program is further configured to cause the computer to:

determine a first percentage, the first percentage being a percentage of the best server plot that lies within the boundaries of the service gap; and

determine the first percentage is greater than or equal to a first threshold percentage.

14 . The non-transitory computer-readable recording medium according to claim 13 , wherein the program is further configured to cause the computer to:

determine a second percentage, the second percentage being the percentage of geo-located samples that lie within the boundaries of the service gap; and

determine the second percentage is greater than or equal to a second threshold percentage.

15 . The non-transitory computer-readable recording medium according to claim 13 , wherein the program is further configured to cause the computer to:

categorize the candidate cell as a best server plot type when the first percentage is greater than or equal to the first threshold percentage.

16 . The non-transitory computer-readable recording medium according to claim 14 , wherein the program is further configured to cause the computer to:

categorize the candidate cell as a geo-located sample type when the second percentage is greater than or equal to the second threshold percentage.

17 . The non-transitory computer-readable recording medium according to claim 13 , wherein the program is further configured to cause the computer to:

calculate the electronic tilt using a first algorithm if a clutter type of the candidate cell is a first clutter type; and

calculate the electronic tilt using a second algorithm if the clutter type of the candidate cell is a second clutter type.

Assignments (2)

Continuity (1)

References Cited (13)