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RIS Simulation & Modeling Patents: Who Leads, Early White Space 2026

RIS Simulation & Modeling Patents: Who Leads, Early White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/reconfigurable-intelligent-surface-simulation-and-modeling-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Telecom & Wireless · Patent Landscape
Reconfigurable Intelligent Surface Simulation and Modeling Patents
  • A small, young corpus. only 14 families exist worldwide for RIS-specific electromagnetic, channel and system-level simulation, with filings still at single digits per year.
  • Filing is accelerating, not maturing. the count moved from zero in 2017 to a peak of 5 in 2026, with the 2022 midpoint at just 1 family — most of the growth is in the last two years.
  • China and India dominate the filing venues. 7 receiving-office filings from China and 5 from India dwarf the single filings each from the US and the WIPO PCT route.
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14
Published Records
43%
Top-5 Share of All Records
CN
Leading Jurisdiction
22
Active Filers Ranked
Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this patent set actually covers

This landscape tracks patent families whose claims combine reconfigurable intelligent surface (RIS) or intelligent-reflecting-surface terminology with electromagnetic modeling, channel modeling, unit-cell simulation or system-level simulation language, filtered to antenna and computational-design IPC classes. It is a narrow, methods-focused slice of the broader RIS field: not hardware fabrication, not deployment case studies, but the modeling and simulation techniques that sit underneath both.

With 14 total families across the entire 2015-2026 window, this is still an emerging sub-field rather than an established one. The most recent year in the trend is understated because publication typically lags filing by around 18 months, so 2026's count of 5 will likely rise once late filings clear examination and publication.

Filing activity, 2017-2026
  1. 1LANZHOU UNIV2
  2. 2SYMBIOSIS INT DEEMED UNIV1
  3. 3MR V SRINATH1
  4. 4NAT UNIV OF DEFENSE TECH1
  5. 5DR S KANNADHASAN1
  6. 6DR JIGNESH HIRAPARA1
  7. 7MR SHYAM KONDETI1
  8. 8NANJING UNIV OF POSTS & TELECOMM1
  9. 9XIJING UNIV1
  10. 10KING ABDULLAH UNIV OF SCI & TECH1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Data

Filing trend and technology composition

Two views of the same 14-family corpus: how filing volume has moved year over year, and which IPC subclasses the claims actually sit in.

Filings climbed from zero to a 2026 peak of five

The trend line is flat near zero through the late 2010s, ticks up to 1 family by the 2022 midpoint, then rises to 5 in 2026 — the steepest single-year jump in the dataset, though the 2026 figure is partial and will likely revise upward as publications catch up.

Filings climbed from zero to a 2026 peak of five01345020172018201920202021202220232024202552026Most recent year is partial — publication lag means later filings are not yet visible.

H04B and H04W carry nearly all the claim volume

H04B (general transmission) appears in all 14 families and H04W (wireless network architecture) in 10, meaning almost every filing frames its RIS simulation work as a transmission or network-layer problem. H04L, G06N and H01Q each appear in only 2-3 families, which is a proxy for how little claim language currently touches AI-driven modeling or antenna-level unit-cell design specifically.

H04B and H04W carry nearly all the claim volumeH04B · Transmission (general)14100.0%H04W · Wireless communication networks1071.4%H04L · Digital information transmissi…321.4%G06N · Computing based on AI models214.3%H01Q · Antennas214.3%

Shares are the percentage of the 14 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 Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The most-cited record anchors the field

Featured filing
WO2023037243A12023-03-16

Reconfigurable intelligent surface enabled leakage suppression and signal power maximization system and method

KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

A base station transceiver exchanges information with both a desired and an undesired wireless device, while a connected processor calculates phase shifts for a reflecting beamforming vector applied at the RIS. The phase shifts use a Kronecker decomposition of the beamforming vector so that the signal reflected toward the desired device is enhanced while the signal reaching the undesired device is suppressed.Filed by King Abdullah University of Science and Technology, published 2023-03-16 as WO2023037243A1.

WO2023037243A1 — patent drawing 1WO2023037243A1 — patent drawing 2
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Most-cited records in this corpus
#Publication no.Patent titleCitations
1WO2023037243A1Reconfigurable intelligent surface enabled leakage suppression and signal power maximization system and method42
2US9698951B2Method and apparatus for transmitting/receiving channel state information in wireless communication system8
3CN119485648A基于字典优化的可重构智能表面辅助太赫兹室内定位算法2
4CN118101000A一种辅助6G车与车通信的混合智能反射面功率分配优化方法1

Citation counts reflect influence within this searched corpus, not necessarily current commercial relevance — older records accumulate citations simply by being available longer.

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. Publication numbers are shown where the record carries one (4 of 4 rows); clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers say about where this field stands

Three findings that shape how a team should read this corpus before deciding where to file or search for prior art.

Filing momentum
0 → 5
families, 2017 vs 2026

Growth is real but the base is tiny

A move from zero to five families sounds dramatic, but the entire dataset totals only 14 families. Treat this as an early inflection point in a still-forming niche, not evidence of a crowded field.

Filing trend, 2017-2026
Claim citation concentration
42 citations
WO2023037243A1 vs next-highest at 8

One filing dominates citation influence

WO2023037243A1's leakage-suppression and beamforming approach is cited more than five times as often as the next record. Anyone filing adjacent claims on RIS beamforming or interference suppression should read it closely before drafting.

Most-cited records table
Geographic filing pattern
7 China · 5 India
receiving-office filings

Filing activity is concentrated in Asia

China and India together account for 12 of the 14 tracked filings, with the US and the WIPO PCT route each contributing just one. Enforcement and freedom-to-operate analysis should prioritise these two jurisdictions first.

Receiving offices, this dataset
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to reconfigurable intelligent surface simulation and modeling, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

A fragmented field with no repeat filer yet

Recent-year momentum shows single-filing entrants across universities and research institutes rather than a dominant assignee, which is typical for a sub-field this early in its filing history.

Filing pattern
1 family each
latest-year filers

No assignee has filed more than once in the latest year

Lanzhou University, Kyung Hee University, the National University of Defense Technology and Vellore Institute of Technology each contributed exactly one family in the most recent year tracked. None shows repeat or accelerating filing yet.

Recent-year momentum by assignee
Institution type
Academic-led
filer composition

Universities and defense-research institutes lead filing

The named assignees in this corpus skew toward academic and state-research institutions rather than telecom equipment vendors, suggesting the modeling and simulation layer is still largely a research-stage activity.

Assignee list, this dataset
Prior-year activity
0 in latest year
two assignees stalled

Some early filers have already gone quiet

King Abdullah University of Science and Technology and Xijing University, both present earlier in the dataset, show zero filings in the latest tracked year — an early signal worth watching rather than a confirmed exit.

Recent-year momentum by assignee
🔍
Under-claimed branches worth a first-mover claim
IPC composition shows most claim density sits in transmission and network layers; these branches are comparatively open.
AI-assisted RIS channel estimationUnit-cell electromagnetic co-simulationRIS-aware system-level link budgetingTHz-band RIS indoor localization modelingHybrid RIS power-allocation optimization
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Lanzhou University10%
Kyung Hee University1
National University of Defense Technology1
VELLORE INSITUTE OF TECH1
King Abdullah University of Science and Technology0
Xijing University0
Zhejiang University0
Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

This landscape is a starting point for freedom-to-operate checks and claim drafting, not a finished answer.

Run a freedom-to-operate check against the top-cited filing

WO2023037243A1's beamforming and leakage-suppression claims sit closest to the field's centre of gravity. Any new filing touching RIS phase-shift optimisation should be checked against it first.

Search this filing in Eureka

Track the China and India filing venues directly

With 12 of 14 filings routed through China or India, monitoring new publications from these two offices will surface new entrants earlier than watching the US or PCT alone.

Set up office-level monitoring in Eureka

Watch the under-claimed branches for early movers

AI-assisted channel estimation and unit-cell co-simulation currently carry the lightest claim density in this corpus. A first substantive claim there faces less crowded prior art.

Explore white space in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about RIS simulation and modeling patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Reconfigurable Intelligent Surface Simulation and Modeling covering 2015–2026, data cut-off 2026-07-31. 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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