Market Context — Why This Technology, Why Now

The global surge in wireless data demand and the proliferation of connected devices are leading to unprecedented spectrum congestion. Regulatory bodies worldwide are pushing for more efficient spectrum management, while industries require real-time, granular insights into radio environments for optimal performance and security. This technology directly addresses these pressures by offering a scalable, cost-effective solution for advanced spectrum analysis, crucial for maintaining reliable and high-performance wireless ecosystems.

Key Competitive Advantages
01

Achieves high-speed, high-precision spectrum estimation for broadband signals.

02

Reduces system construction costs and operational computational load significantly.

03

Enables more detailed environmental analysis by simultaneously estimating frequency and angle spectrum.

Market Opportunity
5G/Beyond 5G Infrastructure
~$6.5B globally (AI est.)
This technology is essential for suppressing radio interference, efficient frequency management, and optimizing communication quality in base stations, accelerating the construction of next-generation communication networks.
Telecommunication infrastructure providers 5G/6G equipment manufacturers Network operators
IoT Device Management
~$350M domestically (AI est.)
Contributes to stable system operation by monitoring communication signals from numerous devices in large-scale IoT networks, enabling anomaly detection and communication path optimization.
IoT platform providers Smart device manufacturers Industrial IoT solution integrators
Autonomous Driving/Smart Cities
~$1.5B globally (AI est.)
Contributes to enhanced safety and efficient system operation by providing real-time, high-precision radio wave environment awareness for in-vehicle radar and traffic monitoring systems in autonomous driving and smart city applications.
Automotive radar system developers Smart city infrastructure developers Autonomous vehicle technology companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a spectrum estimation system that uses an array antenna, discrete Fourier transform, tensor calculation, and compressed sensing to estimate both frequency and angle spectra. The claims are robust, having overcome a rejection notice with precise amendments and arguments, demonstrating high stability and low invalidation risk.

Competitive White Space

This patent primarily covers the core algorithm and system for spectrum estimation. White space exists in developing specialized array antenna hardware optimized for specific frequency bands, integrating the estimated spectrum data with advanced AI for predictive network optimization, or creating novel user interfaces for real-time visualization and control.

Economic Impact
~$1M/year estimated operational cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For large-scale communication infrastructure and IoT device networks, assuming annual operational costs for conventional spectrum estimation systems (high-performance ADC, computing resources, maintenance) are ~$2M (AI est.). This technology could reduce hardware-related costs by ~30% (~$0.6M/year, AI est.) through ADC sampling frequency reduction, and processing resource costs by ~20% (~$0.4M/year, AI est.) through computational load reduction. This totals an estimated ~$1M/year in operational cost savings.

Speed to Market
5× faster than in-house development
This technology's fundamental research has been established by the National Institute of Information and Communications Technology (NICT), and the core compressed sensing algorithm's implementation foundation already exists. This significantly shortens the data collection and algorithm verification phases required for Proof of Concept (PoC). Designed for integration into existing wireless communication and radar systems, it is estimated to reduce time-to-market by approximately 3.2 years compared to greenfield development.
Competitive Positioning

X: Real-time Analysis Precision
Y: Operational Cost Efficiency

Business Models & Applications
📝 Technology Licensing
Offers licenses to integrate this technology into existing products or new developments such as wireless communication devices, radar systems, and radio wave monitoring equipment.
📡 Solution Provision
Develops and provides radio wave monitoring and management systems centered on this technology, or custom solutions for specific industries (e.g., smart factories, air traffic control).
📊 Data Analysis Services
Utilizes high-precision spectrum data acquired by this technology to offer consulting services for radio environment analysis, interference source identification, and optimization proposals.
Adjacent Application Opportunities
🛰️ Satellite Communication & Remote Sensing
Enhanced Satellite Data Analysis Precision
By analyzing broadband signals from Earth observation and communication satellites with this technology, it could improve the quality of received data and enable the detection of subtle radio sources previously overlooked, potentially expanding the precision and application range of remote sensing.
🏥 Medical & Healthcare
Improved Reliability for Wireless Biosensors
This technology could monitor and avoid radio interference for wireless biosensors used in medical settings in real-time, ensuring stable data transmission. Its high-precision localization capabilities are also expected to contribute to patient monitoring and efficient management of medical devices.
🏭 Smart Factory
Optimize Production Line Wireless Communication
This technology could monitor the radio environment of numerous wireless communication devices (sensors, robots, etc.) within smart factories in real-time. By identifying interference sources and optimizing communication paths, it could enable stable production line operation, increased efficiency, and proactive avoidance of unexpected communication failures.
Integration Roadmap — Estimated 14-Month Deployment
Phase 1: Technology Validation & Requirements Definition
Duration: 3 months
Evaluate the compatibility of the core algorithm with the licensee's existing systems and define specific implementation requirements.
Phase 2: Prototype Development & Evaluation
Duration: 6 months
Develop a prototype system based on defined requirements. Conduct performance evaluation and functional improvements in real-world environments to verify implementation effects.
Phase 3: Pilot Testing & Production Readiness
Duration: 5 months
Conduct larger-scale pilot tests based on the prototype, establish operational frameworks, and prepare for a smooth transition to the production environment.
Technical Feasibility
This technology, centered on array antennas and signal processing algorithms, demonstrates high compatibility with general-purpose antenna arrays and digital signal processing units used in existing wireless communication and radar systems. The discrete Fourier transform and compressed sensing described in the claims can be implemented in software, establishing a technical foundation for rapid deployment via software updates or FPGA implementation without extensive hardware modifications.
Success Scenario
Upon adoption, this technology could improve radio interference detection accuracy in a licensee's wireless communication infrastructure by 20% compared to conventional methods, potentially reducing the average problem resolution time by 30%. This could simultaneously stabilize communication quality and reduce operational costs, leading to enhanced customer satisfaction and an estimated economic benefit of ~$1M/year.
Patent Record
APPLICATION NO.
特願2021-156764
REGISTRATION NO.
7756422
FILING DATE
2021/09/27
GRANT DATE
2025/10/09
EXPIRATION DATE
2041/09/27
PATENT HOLDER
国立研究開発法人情報通信研究機構
Examination History
2024年08月28日
出願審査請求書
2025年05月20日
拒絶理由通知書
2025年07月14日
手続補正書（自発・内容）
2025年07月14日
意見書
2025年09月24日
特許査定