As the demands of next-generation applications grow, DeepSig’s commitment to innovation ensures it remains at the forefront of AI-driven wireless advancements.
Radio spectrum is scarce, valuable, unprotected and often inefficiently used. As next-generation applications demand more efficient and secure communication, the need for innovative, AI-driven solutions has never been greater. DeepSig’s innovative spectrum sensing approach fills a critical gap in this field. It promises to unlock new mobile radio frequencies by creating an AI-driven template for dynamic spectrum sensing and sharing, locating interference and wireless cyber intrusions.
Reframing Spectrum Sensing: From Challenges to Opportunities
Traditional spectrum sensing has long relied on hardware-centric systems with significant limitations—high costs, limited scalability and an inability to adapt to dynamic environments. Centralized, post-processed data methods often introduce unacceptable latency, degrade accuracy and consume excessive bandwidth. These barriers prevent efficient spectrum utilization, leaving untapped potential in the increasingly congested wireless landscape.
DeepSig’s AI-enabled O-RU Spectrum Awareness reimagines spectrum sensing by integrating advanced AI and ML algorithms within Open Radio Access Network (O-RAN) architectures. This novel approach directly addresses the shortcomings of conventional systems, enabling real-time, low-latency spectrum sensing embedded at the network edge.
DeepSig’s AI-Native Spectrum Awareness
Today, DeepSig announced it was awarded an NTIA grant to integrate AI-powered Software-Defined Radio (SDR) capabilities into commercial Open Radio Units (O-RUs). The result is a tool that delivers real-time, wideband spectrum sensing that is accessible through the O-RU’s O-RAN fronthaul interface. This breakthrough empowers third-party applications with unprecedented sensing data for innovation and insight.
The program will enable real-time, wideband spectrum sensing at the network edge within the RAN infrastructure. This is a key enabler for several important reasons:
- Automating Network Deployment, Operations and Maintenance (O&M): Spectrum awareness can help to make it easier to deploy public and private networks, allowing for optimized band allocation, automated tuning, and easier deployment and operation.
- Dynamic Spectrum Sharing: Many spectrum bands may need to be shared between the government and private users. Real-time spectrum visibility provides powerful feedback to automate these systems, coordinate them to provide assured service near other users and help unlock new frequencies and spectrum-sharing models.
- Interference Detection and Fault Mitigation: Spectrum awareness can help identify and understand interference, jamming, and failures in nearby industrial and radio equipment, automate diagnosis and mitigation, and reduce costly downtime.
- Enhanced Wireless Security & Resilience: Continuous monitoring of the spectrum around the RAN can rapidly identify jamming, wireless attacks, unauthorized access or abnormal behavior, helping to alert on and mitigate threats in commercial and government 5G networks rapidly.
- Wireless Pattern of Life and Digital Twin: Wireless activity around the RAN provides rich insight into real-world activity, allowing for the understanding, modeling, and predicting activities from spectrum events. Sensing in the RAN sheds light on this invisible pattern of life information, allowing DT simulation and powerful analytics.
This approach ensures scalability and cost-effectiveness while addressing key technical challenges in deploying AI-enhanced SDR systems.
Building Resilient, AI-Powered Wireless Networks
By integrating AI-enabled spectrum awareness into O-RUs, DeepSig sets the stage for more intelligent, more adaptable wireless networks. Integrating AI-enabled spectrum sensing into O-RUs is a milestone in the evolution of wireless networks, achieving:
- Cost-effective scalability: Embedding sensing capabilities into existing O-RU hardware minimizes cost and power consumption while maximizing coverage and effectiveness.
- Low-latency response: AI-powered algorithms operate in real-time, enabling near-instantaneous threat detection and resolution.
- Broad applicability: DeepSig’s software is poised to address critical use cases across industries, from enabling private 5G networks in industrial settings to facilitating spectrum sharing among public and private entities.
This all improves spectrum efficiency and enhances network resilience and security. As wireless communication evolves, solutions like AI-enabled O-RU Spectrum Awareness are pivotal to meeting the demands of next-generation applications.
DeepSig’s AI-enabled O-RU Spectrum Awareness exemplifies the transformative potential of AI and ML in wireless communication. This innovation redefines the boundaries of dynamic spectrum sharing and network automation by addressing critical gaps in spectrum sensing and integrating seamlessly into O-RAN architectures. The future of spectrum sensing isn’t just smarter—it’s here.