RAN Intelligent Controller Patents: Top Filers & Trends 2026
- Filing peaked in 2022 at 143 records, and the count since has flattened rather than kept climbing — a sign the core RIC architecture claims are largely staked out.
- H04W and H04L dominate the IPC mix (366 and 190 records respectively), while AI-adjacent G06N appears in only 20 records, leaving RIC-side machine learning claims comparatively open.
- The most-cited record, WO2023091664A1, has drawn 237 citations, nearly double its own US counterpart — a strong signal of where downstream filers anchored their prior-art searches.
Filing growth compares 2021 (45 records) with 2024 (65) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 401 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset tracks 401 patent families filed against RAN Intelligent Controller (RIC) technology — the software layer that sits between Open RAN network functions and the xApps/rApps that optimize them in near-real-time and non-real-time control loops. The search spans filings from 2015 through the 2026-07-31 data cut-off, concentrated under IPC classes covering wireless network management (H04W24/02), general wireless architecture (H04W28) and digital transmission control (H04L41).
Because publication typically lags filing by around eighteen months, the most recent one or two years in any trend line will understate actual filing activity — the 2026 figure of 2 records is a partial year, not a genuine collapse in interest.
Filing trend and technology composition
The filing curve and IPC breakdown together show a technology that grew quickly, peaked, and is now consolidating around a narrower set of claim types.
A sharp rise to a 2022 peak, then plateau
Filings moved from zero in 2017 to a peak of 143 in 2022, then held roughly flat rather than continuing to climb — consistent with early architecture and interface claims being filed first, followed by a slower stream of refinement filings.
Wireless and transmission classes dominate
H04W (366 records) and H04L (190 records) together account for the bulk of filings, reflecting that most claims describe network-side control and signalling. G06N (AI/ML computing, 20 records) and G05B (control systems, 2 records) are comparatively thin, suggesting the intelligence layer itself — as distinct from the RAN interfaces it acts on — is less densely claimed.
Shares are the percentage of the 401 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on RAN Intelligent Controller Technology Landscape with Eureka
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Try EurekaThe most-cited records anchor the field
Framework for constructing the dependency graph for open ran conflict detection
The application describes a method for receiving control parameters from multiple applications tied to non-real-time and near-real-time RIC layers of an O-RAN architecture, building one or more dependency graphs from those parameters, and using the graphs to determine conflicts among the applications.Filed by Rakuten Symphony, Inc., published 2026-04-16 — illustrates the current focus on xApp/rApp conflict management rather than raw interface definition.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2023091664A1 | Radio access network intelligent application manager | 237 |
| 2 | US20240259879A1 | Radio access network intelligent application manager | 118 |
| 3 | US20220167236A1 | Intelligence and Learning in O-RAN for 5G and 6G Cellular Networks | 99 |
| 4 | US20210337420A1 | Functional architecture and interface for non-real-time ran intelligent controller | 47 |
| 5 | US20210029580A1 | Flexible buffer management for optimizing congestion control using radio access network intelligent controlle… | 46 |
| 6 | US20220303831A1 | Apparatus and method for e2 interface configuration including cell information in wireless access network | 22 |
| 7 | US20220286914A1 | RIC sdk | 18 |
| 8 | US20220286915A1 | Distributed ric | 17 |
| 9 | US20240098568A1 | Automated detection and mitigation of intra- and interdomain conflicts in open radio access networks | 16 |
| 10 | US20220286916A1 | Cloudified mac scheduler | 16 |
Citation counts are drawn from within this searched corpus and favour older, foundational filings — treat them as a measure of influence on later filers, not of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns in this dataset matter more than the raw counts: where citations concentrate, how thin the co-filing network is, and how narrow the receiving-office spread is outside the US and Europe.
One family anchors most prior-art searches
WO2023091664A1 and its US counterpart US20240259879A1 together draw far more citations than any other record in the set, meaning most later filers in this space had to draft around this pair's application-manager claims.
Filing is mostly solo, not joint
Only ten co-assignee pairs appear across 401 families, and the strongest of these sit inside a single corporate group's subsidiaries rather than across competitors — cross-company joint filings on RIC technology remain rare.
Filing is front-loaded into three offices
The United States, EPO and WIPO/PCT together account for the large majority of receiving-office activity, with India (36) and China (32) trailing well behind — a narrower jurisdictional footprint than many wireless-standard technologies show at this stage.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to ran intelligent controller technology landscape, with the prior art for and against each one.
Who is filing, and who has slowed down
Momentum data shows the leading assignees pulling back in the latest year rather than accelerating, which is typical once foundational architecture claims are staked and filers shift to narrower refinements.
Rakuten Mobile's filing pace has slowed sharply
Rakuten Mobile filed just 1 family in the latest year against a prior pace that makes this an 80% year-on-year drop, even as its affiliated Rakuten Symphony entity continues to file — including the representative record in this dataset.
Rakuten's filings cluster inside its own group
The strongest co-assignee relationship in the dataset links two Rakuten group entities on 20 shared families, with two further Rakuten-affiliated pairings following — a pattern of internal group co-filing rather than cross-company collaboration.
Several major filers show no latest-year activity
Samsung, Intel, Dell and Rakuten Symphony itself each show zero recorded filings in the latest year in this tracking window, consistent with the broader plateau in the overall filing trend rather than any single company exiting the space.
| Assignee | Recent year | YoY |
|---|---|---|
| Rakuten Mobile, Inc. | 1 | -80% |
| Samsung Electronics Co., Ltd. | 0 | -100% |
| Rakuten Symphony, Inc. | 0 | -100% |
| RAKUTEN MOBILE USA LLC | 0 | — |
| Intel Corporation | 0 | — |
| Dell Products L.P. | 0 | — |
| Rakuten Symphony Singapore Pte. Ltd. | 0 | — |
| DISH WIRELESS LLC | 0 | -100% |
Where to take this next
The dataset points to a field with staked-out core architecture but thinner coverage on the intelligence and interoperability layers built on top of it.
Check the AI/ML overlap before drafting
With only 20 records touching G06N against 366 touching H04W, claims that describe specific machine-learning inference or training methods inside a near-real-time RIC loop face less crowded prior art than claims describing the RIC interface itself.
Explore RIC-adjacent AI filings in EurekaMap the citation network around the top two families
Because WO2023091664A1 and US20240259879A1 draw the bulk of citations in this corpus, a freedom-to-operate review should start by tracing which later filings cite them and on what specific claim elements.
Run a citation trace in EurekaWatch Rakuten Symphony's conflict-detection filings
The most recent representative filing in this set addresses xApp/rApp dependency conflicts specifically — a narrower and more recent claim focus than the foundational application-manager patents that dominate the citation table.
Track this assignee's filings in EurekaCommon questions about RIC patents
In this patent corpus, a RAN Intelligent Controller (RIC) refers to the software platform in an Open RAN architecture that hosts xApps and rApps to optimize radio access network behaviour in near-real-time or non-real-time control loops. Patent claims in this space typically cover the interface between the RIC and RAN network functions, the application-manager logic that runs xApps/rApps, or conflict-resolution methods when multiple applications issue competing control parameters. The IPC classification most associated with this corpus is H04W24/02 alongside H04W28 and H04L41, which cover wireless network management and digital transmission control respectively.
The dataset shows Rakuten group entities — including Rakuten Mobile and Rakuten Symphony — as active filers, alongside Samsung, Intel, Dell and NEC appearing among tracked assignees. Momentum data indicates several of these, including Rakuten Mobile, recorded year-on-year declines in the most recent tracked year, with multiple assignees showing zero filings in that period. This pattern is consistent with a field that peaked in 2022 and has since plateaued rather than one with a single company pulling further ahead.
Filings rose from zero in 2017 to a peak of 143 in 2022, tracking closely with the broader industry push to standardize Open RAN interfaces through bodies like the O-RAN Alliance around that period. Once core architecture and interface claims were filed, the pace of new foundational filings naturally slows because later filers must differentiate around already-claimed ground. The flat trend since 2022 does not necessarily mean declining commercial interest — it more likely reflects claim space consolidation, and the two most recent years are also understated by normal publication lag.
The IPC composition shows heavy concentration in H04W (366 records) and H04L (190 records) but comparatively little in G06N, the class covering AI/ML computing methods, at only 20 records. This suggests that claims describing the specific machine-learning techniques used inside a near-real-time RIC's inference loop, rather than the surrounding interface architecture, remain less densely claimed. Cross-vendor interoperability testing and dependency-graph-based conflict detection, illustrated by the most recent representative filing in this set, also appear to be earlier-stage claim territory.
Citation counts in this corpus, such as the 237 citations on WO2023091664A1, measure how often a record was cited by later filings within the searched dataset, which structurally favours older, foundational patents over newer ones that have not yet had time to accumulate citations. A recent filing addressing a narrower and more current problem, like the 2026 conflict-detection application from Rakuten Symphony, may be more relevant to current freedom-to-operate work even though its citation count is necessarily low. Citation data is best used to identify influential prior art to search around, not as a ranking of present-day commercial importance.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.