Rakuten Group had 17 patents in mobile during Q2 2024. The patents filed by Rakuten Group Inc in Q2 2024 include a system for providing real-time services in an O-RAN architecture, apparatuses for identifying network slices in a transport network, a settlement server for secure code settlement, a credit determination system based on relationships between individuals, and a communication control apparatus for managing random access channels efficiently. GlobalData’s report on Rakuten Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Rakuten Group had no grants in mobile as a theme in Q2 2024.
Recent Patents
Application: Real-time ric architecture for open ran networks (Patent ID: US20240214833A1)
The patent filed by Rakuten Group Inc. describes a system for providing real-time services in an Open Radio Access Network (O-RAN) architecture. The system includes various physical nodes with processors executing instructions to implement different components like O-CU, O-DU, RT RIC, Non-RT RIC, and Near-RT RIC. The RT RIC, with a latency of less than 10 ms, hosts applications for controlling the O-DU over a real-time control loop. The system also involves interfaces connecting different RICs for policy-based guidance, machine learning management, and enrichment information to optimize the RAN.
The patent further details the apparatus for implementing a Real-Time (RT) Radio Access Network (RAN) Intelligent Controller (RIC) in an Open RAN (O-RAN) system. The apparatus includes a processor executing instructions to connect to an O-RAN distributed unit (O-DU) over an interface and host applications for real-time control with a latency of less than 10 ms. It also connects to Service Management and Orchestration (SMO) frameworks, Non-RT RIC, and Near-RT RIC through different interfaces to optimize the O-RAN system. Additionally, the processor can perform services like report, insert, control, policy services, interface management, service updates, and host applications integrating AI/ML models for real-time decision-making in the RAN.
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