System and method for computing user correlated network score in a telecom area

Patent metadata

Field	Value
Publication number	US-12526645-B2
Application number	US-202217854475-A
Country	US
Kind code	B2
Filing date	Jun 30, 2022
Priority date	Jun 30, 2021
Publication date	Jan 13, 2026
Grant date	Jan 13, 2026

Abstract

Low-performing cells, serving a telecom deployment in a given geographical area, are commonly identified by the telecom operators based on one or more Network KPIs computed for each of the cells being part of the deployment. However, most of these KPIs describe the overall state of affairs of the cell without any insight into the user usage profile of the cell. The present disclosure proposes a novel method to adjust the network KPIs based on scores of the macro cell or the small cell (101) with the user usage profile of the cell to obtain the user correlated network scores of the cells and prioritize the low-performing cells in the network in order of degree of impact on users and their usage. Another aspect of this disclosure is that it shall predict and compute a realistic user score to get predictive insights into user profiles for solutions and preventive measures.

First claim

We claim:

1 . A system for computing a user correlated network score in a telecom area, the system comprising:
a processor; a memory coupled to the processor, wherein the memory comprises processor-executable instructions, which on execution, causes the processor to:
compute a network score based on one or more Key Performance Indications (KPIs) of a macro cell or a small cell operating in the telecom area for a time interval T;
select a group of users based on the computed network score;
collect a call record of the selected group of users from a storage module;
aggregate a session duration across the collected call record to compute a total user call duration for the macro cell or the small cell operating in the telecom area for the time interval T;
compute a number of unique users latched on the macro cell or the small cell operating in the telecom area by aggregating the collected call record cell-wise;
compute a user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T by dividing the total user call duration computed for the macro cell or the small cell by the time interval T scaled with the number of unique users latched on the macro cell or the small cell operating in the telecom area; and
compute a user correlated network score for the macro cell or the small cell operating in the telecom area based on the computed network score and the computed user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T.

2 . The system as claimed in claim 1 , wherein the network score of the macro cell or the small cell operating in the telecom area for the time interval Tis computed based on the one or more KPIs that comprise an average throughput, a Physical Resource Block (PRB) utilization, interference ratio, a call drop rate, a mute call rate, and a call setup success rate.

3 . The system as claimed in claim 1 , wherein the selected group of users have the network score of a last “n” percentile network score.

4 . The system as claimed in claim 1 , wherein the call record of the selected group of users from the storage module is captured when a user initiates a voice or a data session with a telecom network by latching on to the macro cell or the small cell operating in the telecom area.

5 . The system as claimed in claim 1 , wherein the call record of the selected group of users from the storage module comprises parameters such as a user IMSI identifier, a usage duration, a cell identifier, and a voice/data flag.

6 . The system as claimed in claim 1 , wherein the user correlation factor of the macro or small cell operating in the telecom area for the time interval T is stored in the storage module.

7 . The system as claimed in claim 1 , wherein the user correlated network score is calculated by scaling the computed network score with the computed user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T.

8 . The system as claimed in claim 1 , wherein the user correlated network score comprises a realistic user score that provides a predictive insight into a mobile user profile of the telecom area.

9 . The system as claimed in claim 1 , wherein the user correlated network score for a bigger time interval T Large is calculated by dividing a bigger time interval T Large into a plurality of smaller and equal time intervals T small and computing the user correlated network score for a plurality of smaller and equal time intervals T small and averaging the computed correlated network scores for a plurality of smaller and equal time intervals T small to compute the user correlated network score for a bigger time interval T Large .

10 . A method for computing a user correlated network score in a telecom area, the method comprising:
computing, by a processor, a network score based on one or more Key Performance Indications (KPIs) of a macro cell or a small cell operating in the telecom area for a time interval T; selecting, by the processor, a group of users based on the computed network score; collecting, by the processor, a call record of the selected group of users from a storage module; aggregating, by the processor, a session duration across the collected call record to compute a total user call duration for the macro cell or the small cell operating in the telecom area for the time interval T; computing, by the processor, a total user call duration for the macro cell or the small cell operating in the telecom area for the time interval T; computing, by the processor, a number of unique users latched on the macro cell or the small cell operating in the telecom area by aggregating the collected call record cell-wise; computing, by the processor, a user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T by dividing the total user call duration computed for the macro cell or the small cell by the time interval T scaled with the number of unique users latched on the macro cell or the small cell operating in the telecom area; and computing, by the processor, a user correlated network score for the macro cell or the small cell operating in the telecom area based on the computed network score and the computed user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T.

11 . The method as claimed in claim 10 , wherein the network score of the macro cell or the small cell operating in the telecom area for the time interval T is computed based on the one or more KPIs that comprise an average throughput, a Physical Resource Block (PRB) utilization, interference ratio, a call drop rate, a mute call rate, and a call setup success rate.

12 . The method as claimed in claim 10 , wherein the selected group of users have the network score of a last “n” percentile network score.

13 . The method as claimed in claim 10 , wherein the call record of the selected group of users from the storage module is captured when a user initiates a voice or a data session with a telecom network by latching on to the macro cell or the small cell operating in the telecom area.

14 . The method as claimed in claim 10 , wherein the call record of the selected group of users from the storage module comprises parameters such as a user IMSI identifier, a usage duration, a cell identifier, and a voice/data flag.

15 . The method as claimed in claim 10 , wherein the user correlation factor of the macro or small cell operating in the telecom area for the time interval T is stored in the storage module.

16 . The method as claimed in claim 10 , wherein the user correlated network score is calculated by scaling the computed network score with the computed user correlation factor of the macro cell or the small cell operating in the telecom area for the time interval T.

17 . The method as claimed in claim 10 , wherein the user correlated network score comprises a realistic user score that provides a predictive insight into a user profile of the telecom area.

18 . The method as claimed in claim 10 , wherein the user correlated network score for a bigger time interval T Large is calculated by dividing a bigger time interval T Large into a plurality of smaller and equal time intervals T small and computing the user correlated network score for a plurality of smaller and equal time intervals T small and averaging the computed correlated network scores for a plurality of smaller and equal time i

Assignees

• Jio Platforms Ltd

Inventors

• Gupta Ajay Kumar
• Verma Niraj Kumar
• Singh Vikram
• Bhatnagar Aayush
• Gupta Rajeev

Classifications

• H04L41/147

  for predicting network behaviour · CPC title

• H04W16/32

  Hierarchical cell structures · CPC title

• H04W16/18 Primary

  Network planning tools · CPC title

• H04W16/22 Primary

  Traffic simulation tools or models · CPC title