IP Library Granted Patent US 12,192,061
Granted Patent B2
US 12,192,061 · App. 17/758,355 · Granted Jan 7, 2025

Network visualization system and method of the same

Inventors: Rahul Jain (Madhya Pradesh, IN); Tarun Mishra (Madhya Pradesh, IN); Vishal Parashar (Madhya Pradesh, IN)
Assignee: RAKUTEN SYMPHONY, INC.
H04L41/12H04L41/22H04L41/5009H04W24/04H04W24/08
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Quick Facts
Patent No.
US 12,192,061
App. No.
17/758,355
Granted
Jan 7, 2025
Kind
B2
Abstract

A method of network visualization that includes receiving key performance indicator (KPI) data inputs collected for nodes included in a Radio Access Network (RAN); filtering the KPI data to remove unreliable KPI data inputs; determining whether the KPI data inputs for a predetermined geographic area exceeds a threshold sample count; causing a graphical user interface (GUI) to be output by a user interface (UI), the GUI including a display of a shape, corresponding to the predetermined geographic area, layered over a map, where the shape represents an indication of network coverage quality, based on the filtered KPI data inputs, for a location corresponding to the shape corresponding to the predetermined geographic area.

Claims (80)

1. A method of network visualization, the method comprising:

receiving key performance indicator (KPI) data inputs collected for nodes included in a Radio Access Network (RAN);

filtering the KPI data to remove unreliable KPI data inputs;

determining whether the KPI data inputs for a predetermined geographic area exceeds a threshold sample count;

causing a graphical user interface (GUI) to be output by a user interface (UI), the GUI comprising:

a display of a shape, corresponding to the predetermined geographic area, layered over a map, where the shape represents an indication of network coverage quality, based on the filtered KPI data inputs, for a location corresponding to the shape corresponding to the predetermined geographic area.

2. The method of network visualization of claim 1 , wherein the filtering the KPI data to remove the unreliable KPI data inputs, further comprises:

determining whether each KPI data input, corresponding with a node, corresponds with a node location within a threshold.

3. The method of network visualization of claim 1 , wherein the filtering the KPI data to remove the unreliable KPI data inputs, further comprises:

determining whether each KPI data input includes a date-time tag.

4. The method of network visualization of claim 1 , wherein the filtering the KPI data to remove the unreliable KPI data inputs, further comprises:

determining whether each KPI data input includes location tag.

5. The method of network visualization of claim 1 , wherein the filtering the KPI data to remove the unreliable KPI data inputs, further comprises:

determining whether each KPI data input originates from an active node.

6. The method of network visualization of claim 1 , wherein the filtering the KPI data to remove the unreliable KPI data inputs, further comprises:

determining whether each KPI data input includes a KPI tag.

7. The method of network visualization of claim 1 , further comprising:

discarding a KPI data input, in response to the KPI data input not satisfying at least one of:

including a data-time tag;

including a location tag;

including a KPI tag;

the KPI data input originates from an inactive node; or

the KPI data input location being outside of a threshold.

8. The method of network visualization of claim 1 , wherein the indication of network coverage quality is based upon one or more of:

reference signal received power (RSRP);

synchronization signal (SS) RSRP;

signal to interference and noise ratio (SINR);

SS-SINR;

downlink rate;

uplink rate; and

latency.

9. The method of network visualization of claim 1 , wherein the indication of network coverage quality is represented as one of:

in response to being within a first range, good;

in response to being within a second range, average; and

in response to being within a third range, bad.

10. The method of network visualization of claim 1 , further comprising:

aggregating, in a weighted aggregation, multiple KPI data inputs from a first predetermined geographic area and a second geographic area, over a period of time, in response to receiving a input to create a larger map representation.

11. An apparatus for network visualization, the apparatus comprising:

a processor; and

a memory having instructions stored thereon that, when executed by the processor, cause the apparatus to:

receive key performance indicator (KPI) data inputs collected for nodes included in a Radio Access Network (RAN);

filter the KPI data to remove unreliable KPI data inputs;

determine whether the KPI data inputs for a predetermined geographic area exceeds a threshold sample count;

cause a graphical user interface (GUI) to be output by a user interface (UI), the GUI comprising:

a display of a shape, corresponding to the predetermined geographic area, layered over a map, where the shape represents an indication of network coverage quality, based on the filtered KPI data inputs, for a location corresponding to the shape corresponding to the predetermined geographic area.

12. The apparatus for network visualization of claim 11 , wherein the instructions further cause the processor to:

determine whether each KPI data input, corresponding with a node, corresponds with a node location within a threshold.

13. The apparatus for network visualization of claim 11 , wherein the instructions further cause the processor to:

determine whether each KPI data input includes a date-time tag.

14. The apparatus for network visualization of claim 11 , wherein the instructions further cause the processor to:

determine whether each KPI data input includes a location tag.

15. The apparatus for network visualization of claim 11 , wherein the instructions further cause the processor to:

determine whether each KPI data input originates from an active node.

16. A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause an apparatus to:

receive key performance indicator (KPI) data inputs collected for nodes included in a Radio Access Network (RAN);

filter the KPI data to remove unreliable KPI data inputs;

determine whether the KPI data inputs for a predetermined geographic area exceeds a threshold sample count;

cause a graphical user interface (GUI) to be output by a user interface (UI), the GUI comprising:

a display of a shape, corresponding to the predetermined geographic area, layered over a map, where the shape represents an indication of network coverage quality, based on the filtered KPI data inputs, for a location corresponding to the shape corresponding to the predetermined geographic area.

17. The non-transitory computer readable medium of claim 16 , wherein the instructions further cause the processor to:

determine whether each KPI data input includes a KPI tag.

18. The non-transitory computer readable medium of claim 16 , wherein the instructions further cause the processor to:

discard a KPI data input, in response to the KPI data input not satisfying at least one of:

include a data-time tag;

include a location tag;

include a KPI tag;

the KPI data input originates from an inactive node; or

the KPI data input location being outside of a threshold.

19. The non-transitory computer readable medium of claim 16 , wherein the indication of network coverage quality is based upon one or more of:

reference signal received power (RSRP);

synchronization signal (SS) RSRP;

signal to interference and noise ratio (SINR);

SS-SINR;

downlink rate;

uplink rate; and

latency.

20. The non-transitory computer readable medium of claim 16 , wherein the indication of network coverage quality is represented as one of:

in response to being within a first range, good;

in response to being within a second range, average; and

in response to being within a third range, bad.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 12, 2024
From: RAKUTEN SYMPHONY SINGAPORE PTE. LTD.
To: RAKUTEN SYMPHONY, INC.
Reel/Frame 067971/0181 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 7, 2022
From: JAIN, RAHUL; MISHRA, TARUN; PARASHAR, VISHAL
To: RAKUTEN SYMPHONY SINGAPORE PTE. LTD.
Reel/Frame 060456/0550 →
Continuity (1)
Related Publication 20240171468A1 · May 23, 2024
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