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