Open RAN Edge Computing Patents: Who Leads, Where the Gaps Are 2026
- Filings peaked in 2022 at 86 and have since flattened, suggesting foundational RIC architecture claims are already staked out and later filers are competing for narrower ground.
- H04W and H04L account for 226 and 114 of 252 records respectively, while AI-specific classifications (G06N) appear in only 23 — intelligence layers are still built on top of, not replacing, core RAN control claims.
- Rakuten's group of entities shows the strongest co-filing relationships in the dataset, pointing to a coordinated filing bloc rather than isolated invention around their commercial O-RAN deployment.
Filing growth compares 2021 (41 records) with 2024 (46) — 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 252 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This landscape covers 252 patent families published between 2015 and mid-2026 that combine Open RAN or O-RAN terminology with edge-intelligence concepts — multi-access edge computing, RAN Intelligent Controllers, edge orchestration, and near-real-time RIC functions — classified under wireless networking, digital transmission, or compute-scheduling IPC codes. It is built around the split between the Non-Real-Time and Near-Real-Time RAN Intelligent Controllers that defines the O-RAN Alliance’s own architecture, since that split is where most of the claim activity in this corpus concentrates.
Filing activity climbed steadily from 2017 through a 2022 peak and has since flattened, with the most recent year necessarily undercounted due to publication lag. The receiving-office spread runs widest through the United States and PCT filings, with Europe, India, Japan and China all represented at meaningfully lower volumes.
Filing trends and technology composition
252 patent families make up this dataset, filed between 2015 and mid-2026, with publication lag meaning the most recent year is understated.
Filings rose sharply then plateaued
Annual filings climbed from zero in 2017 to a peak of 86 in 2022, then flattened — the midpoint sits at the peak year itself, indicating growth has levelled off rather than continuing to accelerate.
Wireless and transport classes dominate
H04W (wireless communication networks) appears in 226 of 252 records and H04L (digital information transmission) in 114, confirming this is fundamentally a RAN and transport-layer field with AI (G06N, 23) and compute (G06F, 35) as supporting rather than leading classes.
Shares are the percentage of the 252 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
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Try EurekaA representative filing and the most-cited claims
Method and system for intelligent data collection and management for open RAN intelligent controllers (WO2024033545A1)
The disclosure describes an O-RAN method that places an interface between a Non-Real-Time RIC and a Near-Real-Time RIC, and uses that interface to send analytical data from the Near-RT RIC up to the Non-RT RIC. The claim scope centres on the direction and mechanism of that data hand-off between the two control tiers.Filed by NEC Laboratories Europe GmbH, published 2024-02-15.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20220124543A1 | Graph neural network and reinforcement learning techniques for connection management | 196 |
| 2 | US20220167236A1 | Intelligence and Learning in O-RAN for 5G and 6G Cellular Networks | 99 |
| 3 | US20220159525A1 | 5g new radio load balancing and mobility robustness | 57 |
| 4 | US20220116799A1 | Method and device for o-ran-based performance optimization and configuration | 51 |
| 5 | US20210385686A1 | Traffic timing control for an open radio access network in a cloud radio access network system | 44 |
| 6 | CN111565418A | 一种O-RAN与MEC的通信方法及系统 | 42 |
| 7 | US20220210708A1 | Method and apparatus for updating handover parameters in open-radio access network (o-ran) environment | 37 |
| 8 | WO2022155511A1 | Data services for RIC applications | 20 |
| 9 | WO2022011862A1 | 一种O-RAN与MEC的通信方法及系统 | 20 |
| 10 | US20210306899A1 | OpenRAN Networking Infrastructure | 17 |
Citation counts favour older filings inside a searched corpus; use them to gauge influence, not current relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
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Three patterns stand out once the 252 families are broken down by technology class, timing, and citation weight.
Growth has flattened, not continued
Annual filings rose from zero in 2017 to a peak of 86 in 2022, and the midpoint of the trend sits at that same peak year — a sign that the growth phase has already passed rather than being mid-climb. Recent-year momentum across major filers is also negative, with several showing double-digit percentage declines year-over-year.
This is a wireless-network field first
H04W (wireless communication networks) appears in 226 of 252 records, more than triple the next largest class, H04L (114). Compute and AI-specific classes (G06F, G06N) are present but clearly supporting roles, meaning most claims are anchored in RAN control and transport rather than in novel machine-learning architectures.
Influence sits with early connection-management claims
The most-cited record in this corpus, on graph neural network and reinforcement learning techniques for connection management, carries 196 citations — roughly double the next most-cited record. High citation counts here reflect age and reference-point status within a searched corpus, not necessarily current commercial importance.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to open ran edge computing, with the prior art for and against each one.
Who is filing, and where the gaps sit
No single assignee dominates this 252-family dataset, but co-filing patterns and recent momentum point to a small set of coordinated filers alongside a long tail of single or occasional entrants.
Rakuten's entities file together, not separately
Rakuten Mobile, Rakuten Symphony, and Rakuten Symphony USA form the three strongest co-assignee pairs in the dataset, sharing between 4 and 9 families each. That pattern points to a single coordinated filing strategy across a corporate group rather than three independent inventors, which matters when assessing how concentrated real ownership of this claim space actually is.
Leading filers are pulling back
The assignees with the strongest historical filing counts, including Rakuten Mobile and Rakuten Symphony USA, both show sharp year-over-year declines in the most recent year, down 86% and 88% respectively. Several other previously active filers show zero filings in the latest year, consistent with the overall trend having peaked in 2022.
Large equipment vendors show flat recent activity
Established names in this corpus — including major chipset and network-equipment vendors — register zero filings in the latest tracked year, though this likely reflects publication lag rather than a genuine stop in R&D. Their historical filing presence still shapes the citation landscape, particularly around connection-management and load-balancing claims.
| Assignee | Recent year | YoY |
|---|---|---|
| Rakuten Mobile, Inc. | 1 | -86% |
| RAKUTEN SYMPHONY USA LLC | 1 | -88% |
| Rakuten Symphony, Inc. | 0 | -100% |
| Mavenir Systems, Inc. | 0 | -100% |
| Samsung Electronics Co., Ltd. (Korea) | 0 | — |
| Qualcomm Incorporated | 0 | — |
| Starlight Technologies Ltd. | 0 | — |
| NEC Laboratories Europe GmbH | 0 | -100% |
Where to take this analysis
The filing trend and IPC breakdown point to a field that has already staked out its core architecture, with room left at the edges.
Track the Rakuten filing bloc
With the strongest co-assignee relationships in the dataset and a coordinated commercial O-RAN rollout, Rakuten's group filings are worth monitoring for continuations that could broaden existing RIC interface claims.
Monitor assignee activity in EurekaStress-test freedom to operate against the top-cited claims
The connection-management and RIC-interface patents carrying the heaviest citation counts define the claim boundaries most new filings will need to design around before committing to a specific control-loop architecture.
Run a claim comparison in EurekaDraft into the under-claimed IPC branches
G06Q, G01N and G05D each register only a handful of records against the wireless core, marking specific, technically defined white space rather than a generic gap.
Explore white space mapping in EurekaCommon questions about Open RAN edge computing patents
The Near-RT RIC (near-real-time RAN Intelligent Controller) handles control loops on the order of tens of milliseconds to one second, typically covering functions like mobility management and traffic steering. The Non-RT RIC operates on a longer timescale, above one second, and typically handles policy, training, and higher-level orchestration. Patent claims in this dataset, including WO2024033545A1, frequently turn on exactly how analytical data or control instructions move between these two tiers, so the direction and content of that interface is often the point of novelty being claimed.
Filing in this dataset is led by a mix of network operators building their own O-RAN stacks and established telecom equipment vendors, with Rakuten's group of entities showing the strongest co-filing relationships among all assignee pairs tracked. Momentum has slowed across the largest filers in the most recent year, with several showing sharp year-over-year declines, which is consistent with the overall filing trend flattening after its 2022 peak. No single filer holds a dominant share of the 252 families, so the field reads as contested rather than controlled by one player.
Filings rose from zero in 2017 to a peak of 86 in 2022, then flattened rather than continuing to climb. This pattern is common once the core architectural claims around RIC interfaces and control-loop timing have already been staked out by early movers, leaving later filers to compete for narrower improvement claims rather than foundational ones. It does not necessarily mean commercial deployment has slowed; publication lag of roughly 18 months also means the 2025-2026 figures in this dataset are still incomplete.
The most-cited records in this dataset concentrate on connection management, mobility robustness, and load balancing functions implemented through machine-learning techniques such as graph neural networks, and these carry the highest citation counts, which is a signal of how often later filers had to distinguish their claims from them. Separately, interface-specific claims like WO2024033545A1 block particular data flows between Non-RT and Near-RT RIC tiers rather than the RIC architecture generally. A freedom-to-operate review should check both the control-function claims and the interface-mechanism claims separately, since they are not the same claim family.
The IPC composition shows a heavy concentration in H04W and H04L, with far fewer records touching G06Q (commercial/billing logic), G01N (material or signal testing), and G05D (control of non-electric variables) — each in the low single digits out of 252 total records. That gap suggests applications tying RIC decision-making to non-wireless inputs, such as physical-layer sensing or commercial policy logic, remain largely unclaimed. Jurisdiction coverage is also uneven, with China's filing count notably lower than the US and PCT totals, which is worth factoring into any filing strategy targeting that market.
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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.