Reimagining how spectrum is managed
The proliferation of wireless devices drives increased demand for access to the RF spectrum.
The current “real estate” model of spectrum allocation - where spectrum is permanently assigned to licensed users regardless of whether they are occupying the assigned spectrum at any given time - is highly inefficient.
Frequency bands can only accommodate a finite amount of throughput, creating scarcity, bottlenecks for deployment, and competition for access.
spectrumOS is a massively distributed information system that virtualizes the spectrum, enabling dynamic, scalable spectrum access by RF and wireless assets, on-demand, at machine-speed.
Leverages advanced AI, data science, and automation technologies to improve spectrum utilization.
Massively distributed, heterogeneous RF sensor network that collects high-resolution RF data from 10 MHz to 30+ GHz.
Normalized data sets and low-level data services provisioned for parallel, real-time users and applications.
APIs that expose hardware and data services to mission-specific applications.
Automated “playbooks” that optimize spectrum assets based on conditionals.
Consists of platform services, code libraries, and UI elements containerized into a reusable toolchain that supports the rapid creation and deployment of sophisticated, mission-specific Electromagnetic Spectrum Operations (EMSO) applications.
SpEX is a command and control utility that receives, schedules, and allocates spectrum resources in real-time according to predefined conditionals (i.e., spectrum playbooks), which allows heterogeneous users to share spectrum at machine-speed.
spectrumOS incorporates APIs for integration of third-party spectrum apps as well as a portfolio of native spectrum applications that support a range of use cases related to visualization and analysis of spectrum activity. Example native apps include:
Incorporating edge compute, storage, and cloud assets into a cohesive infrastructure, the Spectrum IaaS platform supports virtualized access to spectrum resources and allows applications to be deployed not directly to hardware but to a distributed system that optimizes resource allocation and application isolation.
Consisting of distributed spectrum sensing and synthetic data sources, the Data Acqusition Platform furnishes high-fidelity, on-demand access to spectrum data through a computationally efficient cloud-based architecture that incorporates essential services like synchronization, RF data acquisition, and network communication, ensuring seamless operation and data integrity across geographically distributed nodes.
ADSR is the organic sensing layer of spectrumOS and furnishes real-time observations of the RF spectrum in the 10 MHz to 30+ GHz frequency range. spectrumOS can also interface with third-party (Bring Your Own Sensor - BYOS) sensors.
BrightRF is a novel, real-time Modeling and Simulation (M&S) environment that incorporates historical and live sensor data to calculate accurate macro - and local - scale predictions about RF phenomenon and spectrum utilization as a function of location, frequency, and time.