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For the Inventor, By the Inventor

Tokyo, Japan

Rakuten Mobile, Inc.


USPTO Granted Patents = 311


Forward Citations = 39

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301 inventors (with patents filed for the assignee):

goldMedal Awn Muhammad (35 out of 35 patents)

silverMedal Shinya Kita (30 out of 35 patents)

bronzeMedal Pankaj Shete (29 out of 29 patents)

4.  Mohit Luthra (28 out of 29 patents)

5.  Jin Nakazato (18 out of 18 patents)

6.  Kenichiro Aoyagi (16 out of 94 patents)

7.  Krishnan Venkataraghavan (15 out of 15 patents)

8.  Bharath Rathinam (13 out of 18 patents)

9.  Saki Tanaka (13 out of 14 patents)

10.  Jithin Chathankandath (12 out of 12 patents)

11.  Sandeep Mani Tripathi (12 out of 12 patents)

12.  Makoto Ono (11 out of 109 patents)

13.  Abhishek Sharma (11 out of 16 patents)

14.  Alok Singh Pawar (11 out of 11 patents)

15.  Pawan Shriwas (11 out of 11 patents)


Core Competencies:
Network Management
AI/ML Mobility
Communication Route
Power Consumption
Telecommunications
Resource Allocation
Dynamic Configuration
Service Deployment
Quality Management
Traffic Distribution
Positioning Enhancement
Failure Diagnosis

311 patents:

1. 12772154 - System, method, and computer program for assigning cell identification (2026-10-20),
2. 12772079 - Method of identifying accessible nodes and system for implementing the same (2026-10-20),
3. 12772076 - NCR management (2026-10-20),
4. 12772072 - Determination of a machine learning model to be used for a given purpose related to a communication system (2026-10-20),
5. 12761949 - Workflow management method, system and computer program product with dynamic workflow creation for modifying a workflow based on an element configuration of an element at which the modified workflow is to be executed (2026-10-13),
6. 12757091 - System, method, device, and program for interface management of AI/ML applications over radio access parameters (2026-10-06),
7. 12756997 - Sensor setting in accordance with request for sensor information concerning sensing area (2026-10-06),
8. 12756638 - Data usage categorization in telecommunication network (2026-10-06),
9. 12754600 - Apparatus and method for implementing O-cloud node C-state change (2026-10-06),
10. 12750910 - O-cloud node shutdown scenarios for energy saving (2026-09-29),
11. 12750698 - Automated change in site configuration during a crisis (2026-09-29),
12. 12745132 - Apparatus and method for optimizing uplink carrier aggregation in a radio access network (2026-09-22),
13. 12745101 - Determination of a machine learning model to be used for a given purpose related to a communication system (2026-09-22),
14. 12744709 - O-Cloud node uncordon (2026-09-22),
15. 12743633 - Collaborative training with parallel operations (2026-09-22),
Company Overview
Rakuten Mobile, Inc., based in Tokyo, specializes in advanced network management solutions within the telecommunications sector. The company focuses on leveraging AI and machine learning to enhance mobility, optimize communication routes, and manage power consumption effectively. Its expertise extends to resource allocation, dynamic configuration, and service deployment, positioning it as a key player in the evolution of mobile network infrastructure. Rakuten Mobile aims to innovate and streamline telecommunications services to meet the growing demands of connectivity.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 20 2026

311 Patents

#277 in Tokyo

#533 in Japan

#2,889 in the World

Tokyo, JP
Tokyo, Japan

Rakuten Mobile, Inc.

Forward Citations = 39

301 inventors:

goldMedal Awn Muhammad (35 out of 35 patents)

silverMedal Shinya Kita (30 out of 35 patents)

bronzeMedal Pankaj Shete (29 out of 29 patents)

4.  Mohit Luthra (28 out of 29 patents)

5.  Jin Nakazato (18 out of 18 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Rakuten Mobile, Inc.. Retrieved from https://idiyas.com/company/rakuten-mobile

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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