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Run your analysis now →A data-backed view of Sparse Code Multiple Access codebook design patents: who holds the filings, how the technology composition breaks down, and where claim space remains open through 2026.
Filing growth = 2021 (4 records) → 2024 (12); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 287 records in scope (CR5), not the ranked leaders only.
Sparse Code Multiple Access (SCMA) codebook design sits at the intersection of non-orthogonal multiple access and codeword construction, and the patent record for it is unusually top-heavy. Of 287 records published between 2015 and 2026, the leading assignee alone accounts for 173 — well over half the field — with the next four filers together bringing the top-five combined share to 77.7% of all 287 records. That leaves a long tail: forty other ranked entities, several with only a handful of filings each, working around a codebook design space that one company has already claimed most heavily.
The filing trend is not flat. After an early peak in 2015 at 63 filings, activity cooled before rebuilding: 2021 to 2024 saw a rise from 4 to 12 filings, a +200% increase over that span. Because publication typically lags filing by around 18 months, the 2025 and 2026 figures in the dataset are still incomplete and should not be read as a slowdown.
These figures come directly from the 287 records in scope and the IPC classification each one carries; percentages for technology composition sum to more than 100% because a single record can carry multiple classes.
Filings peaked early, in 2015, at 63 — a level not since matched — then fell before rebuilding steadily: 2021's 4 filings grew to 12 by 2024, a +200% increase. The final one or two years in the chart are undercounted because of publication lag, not declining interest.
Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.
H04L (digital information transmission) appears on 63.4% of the 287 records and H04B (transmission, general) on 44.6%, confirming that most SCMA codebook work is filed as core signal-transmission technology. H04J (multiplex communication) at 18.5% and H03M (coding & code conversion) at just 3.8% mark the multiplexing and coding-theory edges of the field, while G06N (AI-based computing) at 2.1% shows machine-learning-driven codebook optimisation is only lightly claimed so far.
Shares are the percentage of the 287 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about sparse code multiple access codebook design patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe filing describes a network controller that selects a multi-user coordinated multipoint (MU-CoMP) transmission mode using SCMA across a cluster of transmission points and user equipment, coordinating SCMA layer allocation and UE pairing for downlink data transmission without closed-loop feedback between the network and devices.Filed by Huawei Technologies; published 2016-03-24. Claims scope covers SCMA layer allocation and UE pairing logic within a MU-CoMP scheduling scheme.


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Browse MCP servers →Four patterns stand out once the ranking, trend and classification data are read together.
The leading assignee's 173 filings alone exceed the combined total of every other ranked entity. The top-five combined share of 77.7% of all 287 records means new entrants are not competing against a diffuse field — they are competing against one very well-defended position and a handful of secondary holders.
Filings dropped sharply after the 2015 peak of 63, then began climbing again: 4 filings in 2021 to 12 in 2024. That is a real signal of renewed commercial interest, not an artefact of publication lag, since 2024 is the most recent complete year in the dataset.
H04L and H04B together describe most of the corpus, confirming SCMA codebook work is filed primarily as transmission technology. H03M (3.8%) and G06N (2.1%) are comparatively empty, suggesting codebook design framed around coding theory or AI-driven optimisation carries less prior art to search around.
The United States (67) and China (64) each host more SCMA codebook filings than the EPO (57), WIPO/PCT (21) or India (20), indicating both jurisdictions are seen as strategically necessary rather than either dominating outright.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to sparse code multiple access codebook design patent landscape, with the prior art for and against each one.
The filing data points to specific next questions for teams evaluating freedom to operate or new codebook designs.
With 173 of 287 records held by a single assignee, understanding exactly which codebook construction methods and layer-allocation schemes that portfolio covers is the first freedom-to-operate step for any new entrant.
Explore claim scope in EurekaH03M and G06N classes remain thin relative to the 287-record total, suggesting codebook optimisation approaches framed around coding theory or machine learning face less prior art density today.
Run a white space search in EurekaThe rise from 4 filings in 2021 to 12 in 2024 signals renewed commercial interest; monitoring who is filing now, rather than who filed at the 2015 peak, shows where competitive attention is actually moving.
Set up filing alerts in EurekaOne assignee holds 173 of the 287 records in scope, making it by a wide margin the largest filer in this space. The next four ranked assignees together bring the top-five combined share to 77.7% of all 287 records, so the field is concentrated rather than fragmented. The remaining 36 ranked entities, out of 41 total, hold comparatively small counts, often in single digits, forming a long tail of research institutions and secondary industry filers.
Yes, though the trajectory is not a straight line. Filings peaked early, in 2015, at 63, then declined before rebuilding: 2021 saw 4 filings and 2024 saw 12, a +200% increase over that three-year span. Because publication lags filing by roughly 18 months, the very latest years in any dataset understate true activity, so 2024 is the most recent year that can be read as a complete signal.
The bulk of filings sit under H04L (digital information transmission), which appears on 63.4% of the 287 records, and H04B (transmission, general) at 44.6%. H04W (wireless communication networks) and H04J (multiplex communication) follow at 24.7% and 18.5% respectively. Coding-theory-specific classification under H03M and AI-based approaches under G06N are both thin, at 3.8% and 2.1%, indicating those framings are less commonly used even though they are technically relevant to codebook construction.
The United States leads with 67 filings by receiving office, followed closely by China at 64 and the European Patent Office at 57. WIPO/PCT filings account for 21 and India for 20, with Austria (AT) at 16. The close US-China figures suggest neither jurisdiction is treated as secondary; most serious filers appear to be securing protection in both.
This Huawei filing, published in March 2016, describes a network controller coordinating downlink multi-user coordinated multipoint (MU-CoMP) transmission using SCMA, including SCMA layer allocation and UE pairing across multiple transmission points. It is representative of the earliest wave of SCMA patenting activity that contributed to the 2015 filing peak. Because it addresses scheduling and layer-allocation logic rather than just the codebook structure itself, it is a useful reference point for understanding how broadly early SCMA claims were drafted around system-level deployment rather than pure codeword design.
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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.
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