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Spectrum Awareness

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DeepSig Secures NTIA Grant to Advance Telecom AI-Driven Spectrum Sensing

We announced we were 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 accessible through the O-RU’s O-RAN fronthaul interface. Our 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.

What is Dynamic Spectrum Sharing?

The term “Dynamic Spectrum Sharing” (DSS) is used in two distinct contexts within the wireless communications domain.

DSS Between Cellular and Other Systems 

The growing use of the term “DSS” refers to the coexistence of cellular networks (primarily 4G and 5G) with other wireless systems, such as military radar, in shared radio frequency spectrum. This form of spectrum sharing relies on advanced spectrum sensing and dynamic interference mitigation between heterogenous systems in the same band to maximize protection of incumbent users (typically military radar systems) and overall spectral efficiency. Key aspects include continuous spectrum monitoring, AI-driven signal detection and classification, dynamic spectrum and interference mitigation, and coordination between cellular and radar operators to optimize spectrum use and coexistence.

DSS Between 4G LTE and 5G NR

The historical use of DSS, introduced in 2020, refers to the dynamic allocation of radio resources between LTE and 5G NR technologies. This approach aimed to optimize network performance and spectrum efficiency by leveraging commonalities between LTE and 5G NR, allowing them to share antennas and frequencies. Key aspects include synchronized, demand-driven sharing of radio resources between LTE and 5G NR to adapt to varying traffic loads. While the benefits of 4G-5G DSS have been debated, the market need appears to be waning with rapid 5G subscriber adoption and the rollout of 5G Standalone (SA).

Challenge

You can’t react to what you don’t see – Interfering signals can compromise the performance and reliability of any network.  Interfering sources must quickly be identified and resolved to maintain integrity.  However, conventional methods of detection are not fast or effective in distinguishing between complex signal types including previously unseen sources based on simple RF parameters.  This makes it difficult to mitigate a problem you may not see until it is too late.

OmniSIG

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OmniSIG® - DeepSig’s pioneering Artificial Intelligence (AI) driven, real-time Spectrum Awareness software solution.

Overcome the Obstacles of Wireless 

Go from months to detect and classify a new signal, to hours, for real-time reaction to mission critical circumstances.

Turn unknown signal types into known, for later analysis or immediate follow up-action.

Move from serial identification of signals to simultaneous detection and identification of dozens of signals across wide instantaneous bandwidths, even when they occur at unexpected frequencies.

Go from inaccurate and complex signal classification, to optimized classification accuracy, with neural network support in both time and frequency domains.

Transform your existing workforce from being under-equipped, to advanced capability developers.

Go from reactive to proactive with real-time security alerts and notifications.

How we solve your challenges

1000x faster

Optimized AI detects and classifies signals significantly faster than traditional approaches for real-time reaction to mission critical circumstances. Where it would typically take months of tedious work, classify signals in minutes or hours with OmniSIG.

Unknown Signal Identification

Real-time identification, classification and localization of signal types allows real-time capture of unknown signals, anomalies, or unexpected changes to the spectrum for later analysis or immediate follow-up action.

Quickly identify dozens of signals across wide instantaneous bandwidths 

Quickly detect and classify dozens of signal types at one time, even when found outside of their anticipated allocation.  

Time and Frequency Signature Detection

Neural network support in both time and frequency domains provides improved classification accuracy over traditional techniques. 

Advanced AI Made Easy

With OmniSIG advanced AI capabilities, enable your organization to quickly and easily update supported signal sets of interest with no prior training or experience needed. 
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