Open RAN Waveform Patents: Leaders, Trends & White Space 2026
- Filing peaked in 2022 at 7 families, then flattened — the dataset shows no sustained growth trend through the most recent full year.
- H04W dominates at 23 of 24 records, while AI-adjacent G06N classification appears in only 4 — a narrow overlap between waveform processing and learned PHY techniques.
- WIPO and EPO together account for 15 of the tracked filings, ahead of the United States at 5, pointing to an internationally-first filing strategy in this niche.
What this landscape covers
This landscape tracks patent families at the intersection of Open RAN architecture and waveform or modulation processing — OFDM waveform generation, PHY-layer processing, and related modulation schemes claimed specifically within O-RAN or open radio access network system descriptions. It excludes generic OFDM or modulation patents that make no reference to disaggregated RAN architecture.
The corpus is small — 24 published families across roughly a decade of activity — which makes this a niche rather than a crowded field. Filing activity is concentrated around a single peak year, and publication lag means the most recent year is understated; a thin 2025-2026 count reflects reporting delay as much as any slowdown in real filing.
Filing trend and technology composition
The two views below show when filings happened and which IPC subclasses carry the claim volume — together they indicate whether this is a growing or a settled area of practice.
A single peak, not a trend
Filings rose to 7 in 2022 and have not sustained that pace since; the flat-to-declining pattern through the midpoint suggests this is a bounded technical problem rather than one still attracting fresh entrants.
Concentrated in wireless network claims
H04W (wireless communication networks) appears in 23 of 24 records, with H04L (digital transmission) as the next most common at 10. G06N (AI-based computing) and G01S (radar/positioning) appear only a handful of times, marking the edges of where waveform processing meets adjacent disciplines.
Shares are the percentage of the 24 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Open RAN Waveform and Modulation with Eureka
This page is one run against one query. Ask Eureka your own question about open ran waveform and modulation and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this space
Reducing fronthaul complexity for single frequency networks in O-RAN
The filing describes an O-RAN system in which multiple radio units transmit the same signal simultaneously over a shared frequency channel, with the distributed unit filtering uplink or downlink signals from individual radio units based on signal power or signal-to-noise ratio, and radio units linked directly to the distributed unit rather than through intermediate aggregation points.Filed by Mavenir Systems; published 2023-02-22.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2021252443A1 | Enhancing ran UE id based UE identification in o-ran | 13 |
| 2 | EP4138472A1 | Methods to reduce fronthaul complexity for single frequency network (SFN) in an open radio access network (o-… | 7 |
| 3 | WO2023287808A1 | Beamforming for multiple-input multiple-output (MIMO) modes in open radio access network (o-ran) systems | 6 |
| 4 | WO2023224864A1 | Remote radio head low-power tuning procedure | 2 |
| 5 | WO2023028445A1 | Control plane processing of downlink precoding in an open radio access network | 1 |
Citation counts reflect influence within the searched corpus and skew toward older filings; a low count on a recent record does not mean it is unimportant.
Publication numbers are shown where the record carries one (5 of 5 rows); clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the numbers mean for filing strategy
Three patterns stand out once the raw counts are read against filing dates and jurisdictions.
A bounded filing wave, not an open race
Activity rose to a single peak year and has not repeated that level since. For a technology area this narrow, a flat trend after a peak usually means the core claim positions have already been staked, and new entrants face denser prior art than the headline family count suggests.
International filing outpaces the US alone
PCT and European filings together exceed US-only filings, which is unusual for a telecom-infrastructure niche often assumed to be US-led. Anyone benchmarking freedom to operate needs to check European and PCT-derived national phases, not just USPTO records.
Learned PHY techniques are a minor thread
Only four records touch AI-based computing classifications alongside waveform or modulation claims. That is a small enough number that no single assignee has established a dominant position in AI-assisted PHY processing for Open RAN specifically.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to open ran waveform and modulation, with the prior art for and against each one.
Who is active, and where momentum has stalled
Recent-year momentum across the tracked assignees shows a common pattern for a small, peaked field: known infrastructure and chipset vendors hold families from the 2022 peak, but none show fresh filings in the latest tracked year.
No assignee is currently accelerating
Every major assignee in this dataset shows zero filings in the most recent year, including two with a documented -100% year-on-year drop. Given publication lag, this likely understates true filing activity, but it does confirm none of the established players are visibly scaling up filings right now.
A small, name-recognisable field
The assignee set includes established chipset and infrastructure vendors alongside a radio-unit specialist, rather than a long tail of unfamiliar filers. That makes competitive tracking straightforward but also means claim space around the core O-RAN waveform problem is already occupied by known players.
Secondary markets are being claimed too
India appears as a receiving office alongside the US, EPO and WIPO, ahead of Germany's single filing. That suggests at least some assignees see commercial or regulatory value in Indian patent protection for O-RAN waveform work specifically, not just the traditional US/Europe pairing.
| Assignee | Recent year | YoY |
|---|---|---|
| Qualcomm Incorporated | 0 | -100% |
| Intel Corporation | 0 | — |
| Mavenir Systems, Inc. | 0 | — |
| Samsung Electronics Co., Ltd. | 0 | — |
| Telefonaktiebolaget LM Ericsson | 0 | -100% |
| Viavi Solutions Inc. | 0 | — |
| MAVENIR NETWORKS INC | 0 | — |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, whitespace filing, or competitive tracking.
Check freedom to operate against the cited cluster
The most-cited records, including the SFN fronthaul and MIMO beamforming families, sit close together in claim scope. Any new PHY-layer filing for O-RAN should be checked against this cluster before drafting.
Run a clearance search in EurekaMap the under-claimed branches in detail
AI-assisted PHY tuning and remote radio head power control show thin coverage relative to core waveform claims. A deeper claim-chart pull on these branches can surface a defensible first-filer position.
Explore white space in EurekaTrack assignee filing gaps for acquisition or licensing signals
Zero recent-year filings across every major assignee, despite a 2022 peak, can mean consolidation, strategy shift, or simply publication lag. Monitoring which of these portfolios changes hands is worth setting up now.
Set up assignee alerts in EurekaCommon questions on Open RAN waveform patents
The tracked corpus of 24 families includes established chipset and infrastructure vendors as well as a radio-unit specialist, with filing concentrated around a 2022 peak. No single assignee shows continued filing momentum into the most recent tracked year, so current leadership is better read from family counts and citation influence than from recent activity. Anyone assessing this space should weigh both the historical filing volume and the fact that momentum has stalled across the board.
The dataset shows filings rising to 7 in 2022, the highest point in the tracked range, with no year since matching that level. This pattern is consistent with a narrow technical problem where the core claim positions — waveform generation, fronthaul handling, PHY-layer split — were staked early and few new angles have opened since. Publication lag of roughly 18 months means the latest one to two years are understated, so some of the apparent flattening may still resolve upward as more filings publish.
EP4138472A1, filed by Mavenir Systems, covers an O-RAN single frequency network in which multiple radio units transmit the same signal simultaneously and the distributed unit filters uplink or downlink signals based on power or signal-to-noise ratio, with radio units linked directly to the distributed unit. It is one of the more heavily cited records in this dataset, which signals it is a frequently referenced prior-art point rather than automatically an infringement risk for every design. Whether it blocks a specific implementation depends on whether that design uses the same direct-link, power-or-SNR-based filtering approach rather than a different fronthaul aggregation method.
The evidence shows thin coverage in a few adjacent branches relative to core waveform claims: AI-assisted PHY parameter tuning, remote radio head low-power tuning procedures, and control-plane-specific downlink precoding. These sit inside the same IPC classes as the dominant filings but have far fewer records attached to them. A first claim in one of these branches would need to specify the exact mechanism — for example, a learned model tuning a named PHY parameter under O-RAN split architecture — rather than restating the generic waveform processing already claimed by the top-cited families.
The raw numbers suggest caution rather than a rush: 24 total families, a single peak year in 2022, and zero recent-year filings across every tracked assignee. That does not mean the area is closed, since publication lag hides the most recent filings, but it does mean a new entrant should expect to compete against already-established claims from named infrastructure and chipset vendors rather than filing into open ground. The better opportunity, based on this dataset, lies in the specific under-claimed sub-branches rather than the core waveform generation claims themselves.
Research Open RAN Waveform and Modulation in depth with Eureka
Go past this page: query the whole open ran waveform and modulation corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.