6G Network Monitoring & Self-Healing Patent Landscape
The 6G network monitoring and self-healing space spans 126 patent families, with Samsung Electronics and a cluster of independent inventors collectively holding the dominant share. The field is still expanding on a multi-year basis, though annual volume has eased from its 2022 peak and recent years remain further understated by publication lag.
Samsung leads a concentrated but fragmented field
The Massengill Family Trust (40) and David E. Newman (31), confirming that both a major OEM and independent inventors are staking early claims in this nascent space.
The top five filers together account for 70% of the combined total of the hundred largest filers, a high concentration ratio that signals a small number of actors are setting the early technical agenda while the field below them is highly fragmented with most remaining applicants holding one or two records each.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Samsung Electronics Co., Ltd. | 41 | |
| 2 | The Massengill Family Trust | 40 | |
| 3 | David E. Newman | 31 | |
| 4 | Huawei Technologies Co., Ltd. | 13 | |
| 5 | Infovista | 4 | |
| 6 | British Telecommunications PLC | 4 | |
| 7 | Medicaps University | 2 | |
| 8 | Northeastern University (US) | 2 | |
| 9 | Vaagdevi College of Engineering | 2 | |
| 10 | Intel Corporation | 2 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | NIMS University Rajasthan Jaipur | 2 | |
| 12 | Dr. Krishnanaik Vankdoth | 1 | |
| 13 | Ramana Kulla Veera Venkata | 1 | |
| 14 | F-Secure Corporation | 1 | |
| 15 | Munipalli Preetham Puneeth | 1 | |
| 16 | Mani Sharada D. | 1 | |
| 17 | Sujeetha Sri R. | 1 | |
| 18 | Dr. M. Madhu Babu | 1 | |
| 19 | Dr. R. Vijayalakshmi | 1 | |
| 20 | Mrs. K. Divya Tejaswi | 1 |
Samsung’s leading position reflects a strategic push into 6G infrastructure intelligence; the prominence of. The Massengill Family Trust and Newman as near-equals suggests that independent research portfolios—likely tied to foundational or licensing-oriented work—are competitive in volume terms with the incumbent OEM.
The most recent 18–24 months of filings are understated due to standard patent publication lag; counts for 2024–2026 should be treated as provisional lower bounds. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2022 surge anchors multi-year growth; wireless dominates the technology mix
The two charts below reveal how filing activity evolved over time and which IPC technology branches capture the most attention. Together they show a field that accelerated sharply and whose technical core sits firmly in wireless and digital-transmission IP.
Annual filing trend
Filings were negligible before 2020, surged to 37 records in 2022, remained elevated at 34 in 2023, then show apparent step-downs in 2024–2026 that are attributable at least in part to publication lag rather than a genuine retreat. The three-year recent window sits 692% above the prior comparable window, confirming robust multi-year expansion.
↗ Hover for values · click a bar to ask EurekaTechnology composition
H04W (Wireless communication networks) and H04L (Digital information transmission) together represent the vast majority of records, establishing wireless protocol and data-transmission design as the field’s technical core. G06N (Computing based on AI models) is a meaningful secondary branch, reflecting early-stage integration of AI-driven fault detection and self-healing logic. All remaining branches—including G06F, G08G, G10L, H04H, H04K, and H04N—appear at only one or two records each, underscoring how thin coverage is outside the wireless-AI axis.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Online anomaly detection for energy efficiency con…
The present disclosure relates to the optimization of user energy efficiency in Cell-Free Massive MIMO systems of the 6G mobile network. This is achieved by tracking the user’s energy efficiency as a multi-variate time series and then utilizing an anomaly detection algorithm to detect if a user’s energy efficiency drops to problematic levels. As a result of… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Intelligence and Learning in O-RAN for 5G and 6G C… | 95 |
| 2 | Method and apparatus for monitoring and reporting … | 18 |
| 3 | Resource-Efficient Beam Selection in 5G and 6G | 11 |
| 4 | Intelligence and learning in O-RAN for 5G and 6G c… | 10 |
| 5 | Automated root cause determination using a pre-tra… | 9 |
| 6 | System and method for precision drive testing of a… | 7 |
| 7 | Enhanced fault correction and noise avoidance in 5… | 7 |
| 8 | Artificial-Intelligence Error Mitigation in 5G/6G … | 7 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
What the structure means for R&D investment
The concentration pattern, growth trajectory, and collaboration signal together define both the risks and openings for teams evaluating where to direct 6G monitoring and self-healing R&D.
Early Growth — field is expanding but pre-commercialization
The lifecycle stage is Growth, driven by a 692% increase in recent three-year filings versus the prior window. Annual volume has eased from its 2022 peak, consistent with an early expansion phase rather than a mature, compounding one. Teams can still establish foundational positions; cost and risk of doing so are lower than in a crowded, late-growth field.
Growth stageTop-heavy among the largest filers, thin below
The top five filers account for 70% of the combined total of the hundred largest filers, yet the long tail is extremely fragmented—most applicants hold only one or two records. This pattern typically indicates that the few dominant actors are building blocking portfolios early, while many smaller entrants are probing specific sub-problems. A focused challenger can still differentiate by targeting the sparse branches the leaders have not yet claimed.
High concentrationNo co-applicant activity detected in this corpus
The collaboration evidence is pending for this corpus: no co-filed patent families were identified among the analysed records. This is consistent with a pre-standard field where players are not yet co-investing on shared architectures. The absence of visible cross-organisational filings may also reflect that standards-body joint work has not yet matured into granted IP, or that collaboration is occurring at the licensing rather than co-filing level.
No co-filers detectedUS-centric filings with meaningful PCT and EPO coverage
The United States is the lead jurisdiction with 61 patent records, followed by India and WIPO (PCT) at 17 each and Europe (EPO) at 15. China registers only 5 records, a notably low figure given the nation’s broader 6G investment. The PCT and EPO presence signals that at least some applicants are pursuing international protection strategies, while the India count reflects the academic and independent-inventor activity visible in the applicant ranking.
US-led, global ambitionGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
Samsung and independent inventors set the early agenda; Huawei is a rising challenger
The applicant ranking reveals an unusual structure: a major OEM, two independent-inventor entities, and an established Chinese telecom vendor each occupy the top four positions. All tracked applicants entered as new entrants in the recent window, confirming that this is a genuinely nascent field with no legacy incumbents.
Samsung Electronics
Samsung holds 41 patent records, the largest single-entity count in the ranked universe. Its momentum trend is classified as a new entrant, reflecting entry concentrated in the recent filing window rather than a long-established programme. The technical emphasis—grounded in wireless network management and digital transmission—aligns with Samsung’s broader 6G radio and RAN infrastructure roadmap.
patent records: 41Huawei Technologies
Huawei holds 13 patent records and is also classified as a new entrant in the recent window, with 4 recent-period records suggesting that the bulk of its portfolio was filed somewhat earlier in the observation window. Given Huawei’s dominant position in 5G standards IP, a 13-record count in 6G self-healing indicates an early but deliberate beachhead rather than full-scale deployment of resources in this specific sub-field.
patent records: 13| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Samsung Electronics Co., Ltd. | 35 | ▲ new entrant |
| David E. Newman | 40 | ▲ new entrant |
| MASSENGILL R KEMP | 40 | ▲ new entrant |
| Huawei Technologies Co., Ltd. | 4 | ▲ new entrant |
| British Telecommunications PLC | 4 | ▲ new entrant |
| Infovista | 4 | ▲ new entrant |
| Intel Corporation | 2 | ▲ new entrant |
| NIMS University Rajasthan Jaipur | 2 | ▲ new entrant |
AI models and data-processing branches remain under-served
Three IPC branches sit at notably low record counts relative to the dominant wireless and transmission classes, pointing to areas where technical coverage is sparse. These are observations of relative sparsity; entry should be evaluated against each team’s specific technical fit.
G06N · Computing based on AI models
With 16 patent records and a 7% share of the branch distribution, AI-model computing is the largest of the sparse branches but still dwarfed by the wireless core. Given that the most-cited work in this corpus explicitly addresses AI and machine-learning approaches to O-RAN fault detection and self-healing, the low filing count relative to the technical salience of AI suggests that foundational AI-architecture claims for 6G self-healing remain largely unclaimed. Teams with strengths in reinforcement learning, federated learning, or transformer-based network anomaly detection have a plausible entry path.
Search this in Eureka →G06F · Electric digital data processing
Only 2 patent records fall under G06F, representing approximately 1% of the branch distribution. This branch covers data-processing architectures—relevant to the edge-compute and real-time telemetry pipelines that underpin self-healing loops in 6G networks. The extreme sparsity is an observation of low coverage, not a validated gap, but teams working on protocol-layer data orchestration or digital-twin network representations may find limited prior art to navigate.
Search this in Eureka →How leaders differ by technology route
Route coverage across the main technology branches in the current evidence set.
| Player | H04W 28 · Wireless communication networks | H04W 24 · Wireless communication networks | H04L 1 · Digital information transmission | H04L 27 · Digital information transmission | H04L 41 · Digital information transmission |
|---|---|---|---|---|---|
| Massengill R. Kemp | Strong · 38 | Emerging · 6 | Strong · 38 | Strong · 32 | Absent |
| David E. Newman | Strong · 38 | Emerging · 6 | Strong · 38 | Strong · 32 | Absent |
| Samsung Electronics Co., Ltd. | Moderate · 12 | Strong · 26 | Emerging · 2 | Absent | Strong · 15 |
| Huawei Technologies Co., Ltd. | Strong · 11 | Moderate · 4 | Absent | Absent | Absent |
| Infovista | Absent | Strong · 4 | Absent | Absent | Absent |
| British Telecommunications PLC | Absent | Strong · 4 | Absent | Absent | Absent |
| Northeastern University (US) | Strong · 2 | Absent | Absent | Absent | Absent |
Frequently asked questions
The corpus covers 126 patent families in scope globally, spanning filings from 2019 through 2026, with the United States as the lead jurisdiction at 61 patent records.
Samsung Electronics leads with 41 patent records, followed by The Massengill Family Trust (40) and David E. Newman (31). Huawei Technologies is the fourth-ranked filer at 13 records, and Infovista and British Telecommunications each hold 4.
The lifecycle stage is Growth. Recent three-year filings are 692% above the prior comparable window, confirming multi-year expansion. Annual volume has eased from its 2022 peak of 37 records, and filings in 2024–2026 are further understated by standard publication lag.
H04W (Wireless communication networks) and H04L (Digital information transmission) dominate the patent-record distribution. G06N (Computing based on AI models) is the most significant secondary branch with 16 records, reflecting growing integration of AI-driven self-healing logic.
The sparsest branches relative to their technical relevance are G06N (AI models, 16 records, 7% share), G06F (digital data processing, 2 records, 1% share), and G08G (traffic control systems, 2 records, 1% share). These represent under-served adjacent areas, not validated commercial opportunities, and should be assessed against each team’s technical fit.
The United States leads with 61 patent records, followed by India and WIPO (PCT) at 17 records each, and Europe (EPO) at 15. China shows only 5 records in this corpus, notably low given broader national 6G investment activity.
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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.
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