https://eureka.patsnap.com/resources/blog/rd-blog/sparse-code-multiple-access-codebook-design-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Telecommunications

Sparse Code Multiple Access Codebook Design Patents: Who Leads and Where the Claim Space Is Still Open

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.

287
Published Records
78%
Top-5 Share of All Records
+200%
Filing Growth 2021→2024
US
Leading Jurisdiction

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.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What the SCMA codebook filing record shows

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.

Filing activity and technology composition, 2012–2026
  1. 1HUAWEI TECH CO LTD173
  2. 2QUALCOMM INC30
  3. 3HARBIN INST OF TECH8
  4. 4TSINGHUA UNIVERSITY6
  5. 5SONY GROUP CORP6
  6. 6CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH5
  7. 7NANYANG TECH UNIV5
  8. 8NANCHANG UNIV4
  9. 9NANJING UNIV OF INFORMATION SCI & TECH4
  10. 10SOUTHEAST UNIV4
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data

Filing concentration, trend and technology composition

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.

A rebuilding filing curve

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.

A rebuilding filing curve020406080220122014632016201820202022202422026Most recent year is partial — publication lag means later filings are not yet visible.

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.

Concentrated in digital transmission, thin in AI-based coding

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.

Concentrated in digital transmission, thin in AI-based codingH04L · Digital information transmissi…18263.4%H04B · Transmission (general)12844.6%H04W · Wireless communication networks7124.7%H04J · Multiplex communication5318.5%H03M · Coding & code conversion113.8%G06N · Computing based on AI models62.1%F02M · Fuel supply & carburettors10.3%H04K · Secret & jamming communication10.3%

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%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

A foundational filing in the space

Representative Filing
US20160087694A12016-03-24

System and Method for Downlink Open-Loop Multi-User Coordinated Multipoint Transmission Using Sparse Code Multiple Access (US20160087694A1)

HUAWEI TECHNOLOGIES CO., LTD.

The 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.

US20160087694A1 — patent drawing 1US20160087694A1 — patent drawing 2
View full filing
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for filing strategy

Four patterns stand out once the ranking, trend and classification data are read together.

Concentration
77.7%
of 287 records held by top 5 assignees

One filer dominates, four others share the rest

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.

Assignee ranking, 41 companies
Momentum
+200%
filing growth, 2021 to 2024

Activity is rebuilding after a post-2015 lull

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.

Filing trend, 2012–2026
Technology mix
63.4%
of records classed under H04L

Core transmission claims dominate; coding-theory claims are thin

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.

IPC composition, 287 records
Filing geography
67 / 64
US vs China receiving-office filings

Filing activity splits closely between the US and China

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.

Receiving office counts
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Looking for what nobody has claimed yet?

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.

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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The filing data points to specific next questions for teams evaluating freedom to operate or new codebook designs.

Map the leader's claim boundaries

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 Eureka

Watch the coding-theory and AI-driven edges

H03M 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 Eureka

Track the post-2021 filing rebuild

The 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 Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about SCMA codebook patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Sparse Code Multiple Access Codebook Design Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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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