IP Library Granted Patent US 12,532,193
Granted Patent B2
US 12,532,193 · App. 17/910,862 · Granted Jan 20, 2026

Real-time RIC architecture for open RAN networks

Inventors: Antonio Forenza (San Fernando, CA); Nagendra Bykampadi (Bangalore, IN); Awn Muhammad (Yokohama, JP)
Assignees: RAKUTEN MOBILE, INC.; RAKUTEN SYMPHONY, INC.
H04W24/02H04L41/16H04W28/0858H04W28/09H04W88/12
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Quick Facts
Patent No.
US 12,532,193
App. No.
17/910,862
Granted
Jan 20, 2026
Kind
B2
Abstract

A system for providing real-time services and functions in an Open Radio Access Network (O-RAN) architecture, includes: a first physical node comprising at least one first processor configured to execute instructions to implement an O-RAN centralized unit (O-CU); at least one second physical node comprising at least one second processor configured to execute instructions to implement: an O-RAN distributed unit (O-DU), and a real-time (RT) RAN Intelligent Controller (RIC) connected to the O-DU via an interface terminating at the RT RIC and having a latency of less than 10 ms; an O-RAN radio unit (O-RU); at least one third physical node comprising at least one third processor configured to execute instructions to implement a non-real-time (Non-RT) RIC operating at a time scale of greater than 1 second; and at least one fourth physical node including at least one fourth processor configured to execute instructions to implement a near-real-time (Near-RT) RIC operating at a time scale of 10 ms to 1 second, wherein the RT RIC is a software platform configured to host applications for controlling at least the O-DU over a real-time control loop with a latency of less than 10 ms.

Claims (18)

1 . An apparatus for implementing a Real-Time (RT) Radio Access Network (RAN) Intelligent Controller (RT RIC) in an Open RAN (O-RAN) system, the apparatus comprising:

memory storing instructions; and

at least one processor configured to execute the instructions to:

connect to an O-RAN distributed unit (O-DU) over an interface; and

host one or more applications for controlling, via the interface, at least the O-DU over a real-time control loop with a latency of less than 10 ms,

wherein the at least one processor is further configured to execute the instructions to connect to at least one of:

a Service Management and Orchestration (SMO) framework for managing and orchestrating RAN elements, via a first interface that terminates at the RT RIC and at the SMO framework;

a Non-RT RIC via a second interface that terminates at the RT RIC and at the Non-RT RIC; and

a Near-RT RIC via a third interface that terminates at the RT RIC and at the Near-RT RIC, the Near RT-RIC and Non-RT RIC being distinct, and the first interface, the second interface, and the third interface each being distinct from an E2 interface.

2 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to connect, over the first interface, to the Service Management and Orchestration (SMO) framework for managing and orchestrating RAN elements, in order to implement at least one management service.

3 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to:

obtain, from the Non-RT RIC via the second interface, at least one of policy-based guidance, machine learning (ML) management, and enrichment information for optimizing the O-RAN system.

4 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to:

obtain, from the Near-RT RIC via the third interface, at least one of policy-based guidance, machine learning (ML) management, and enrichment information for optimizing the O-RAN system.

5 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to perform at least one of report, insert, control, and policy services with respect to the O-DU via the interface.

6 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to perform at least one of interface management and service update functions with respect to the O-DU via the interface.

7 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to host at least one application to integrate at least one Artificial Intelligence (AI)/Machine Learning (ML) model to Radio Resource Management (RRM) functions of the O-DU to make decisions and/or inferences in real-time.

8 . The apparatus according to claim 1 , wherein the at least one processor is further configured to execute the instructions to host at least one application for utilizing a MAC scheduler of the O-DU in real-time.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2024
From: RAKUTEN SYMPHONY SINGAPORE PTE LTD
To: RAKUTEN SYMPHONY, INC.
Reel/Frame 068466/0598 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2024
From: ALTIOSTAR NETWORKS, INC.
To: RAKUTEN SYMPHONY, INC.
Reel/Frame 068023/0534 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 12, 2022
From: FORENZA, ANTONIO; BYKAMPADI, NAGENDRA; MUHAMMAD, AWN
To: RAKUTEN SYMPHONY SINGAPORE PTE. LTD.; RAKUTEN MOBILE, INC.; ALTIOSTAR NETWORKS, INC.
Reel/Frame 061058/0004 →
Continuity (2)
Provisional Application 63325886 · Mar 31, 2022
Related Publication 20240214833A1 · Jun 27, 2024
References Cited (25)
US 11653267B2 · Zhou et al. · 2023 [cited by applicant]
US 20100261427A1 · Mills et al. · 2010 [cited by applicant]
US 20120300710A1 · Li et al. · 2012 [cited by applicant]
US 20170318468A1 · Aijaz · 2017 [cited by applicant]
US 20180287696A1 · Barbieri et al. · 2018 [cited by applicant]
US 20210258969A1 · Yang et al. · 2021 [cited by applicant]
US 20210409977A1 · Dussmann et al. · 2021 [cited by applicant]
US 20220159525A1 · Chou et al. · 2022 [cited by applicant]
US 20220167182A1 · Ramamurthi et al. · 2022 [cited by applicant]
US 20220167236A1 · Melodia et al. · 2022 [cited by applicant]
US 20230289656A1 · Butt et al. · 2023 [cited by applicant]
US 20240214832A1 · Byun et al. · 2024 [cited by applicant]
US 20240378506A1 · D'Oro · 2024 [cited by examiner]
US 20240389018A1 · Sung · 2024 [cited by examiner]
US 20250234231A1 · Hannák et al. · 2025 [cited by applicant]
EP 3869847A1 · 2021 [cited by applicant]
WO 2021048831A1 · 2021 [cited by applicant]
WO 2021144976A1 · 2021 [cited by applicant]
ArXiv: submission history of the article “Toward Next Generation Open Radio Access Network—What O-RAN Can and Cannot Do!” by Aly S. Abdalla et al., 2021 (Year: 2021). [cited by examiner]
Sameer Kumar Singh, et al., “The Evolution of Radio Access Network Towards Open-RAN: Challenges and Opportunities”, IEEE, 2020, 7 pages total. [cited by applicant]
Aly S. Abdalla et al., “Toward Next Generation Open Radio Access Networks—What O-RAN Can and Cannot Do!”, IEEE Network Magazine, Mar. 2022, pp. 1-8. [cited by applicant]
Laurent Petit et al., “Aggregated Massive Modular Paradigm: A 6G Telecom Infrastructure Vision”, 2020, pp. 1-5. [cited by applicant]
International Search Report of PCT/US2022/025868 dated Aug. 30, 2022 [PCT/ISA/210]. [cited by applicant]
Written Opinion of PCT/US2022/025868 dated Aug. 30, 2022 [PCT/ISA/237]. [cited by applicant]
Anonymous, “O-RAN Working Group 2 AI/ML workflow description and requirements”, O-RAN Alliance, 2020, O-RAN.WG2.AIML-v01.01, pp. 1-47 (47 pages total). [cited by applicant]