Fernando joined Digital Global Systems (DGS) in 2013 from PriceWaterhouseCoopers where he held several leadership positions in each the USA and Latin America.
Fernando has been on the forefront of modern investment models for leading-edge technology enterprise pursuits; novel partnership deals using CAPEX-light structures; and strategic vision of business value leveraging latest technologies and operating constructs. In his roles, Fernando has construct significant enterprise business value using unique mental property portfolios and emerging innovations in data, analytics and artificial intelligence.
DGS is a next-gen software platform for wireless deployments that characterizes the Radio Frequency environment across multiple dimensions.
With visibility on the network edge, network operators can de-conflict RF environments, optimize spectrum sharing, and fully realize their 5G ambitions.
How does DGS’ RF Awareness platform leverage AI to boost spectrum management for satellite operators?
At DGS, we’ve developed our RF Awareness platform with one goal in mind: to bring intelligence and flexibility to the best way spectrum is managed—especially within the rapidly evolving satellite domain. Our AI technology enables satellite operators to achieve a real-time, comprehensive view of spectrum usage, detect and mitigate interference, and dynamically optimize network performance. In an area environment that’s becoming increasingly congested—particularly with the rise of direct-to-device services—our AI-powered platform ensures that spectrum is used efficiently, interference is minimized, and repair reliability is maximized.
What specific AI techniques are utilized in RF Awareness to research and mitigate interference in congested spectrum environments?
We leverage a mix of patented machine learning and autonomous inference techniques to research the RF environment. Specifically, we use pattern recognition and autonomous machine-to-machine inference models to detect interference signatures, classify signal types, and make recommendations to dynamically adjust network parameters reminiscent of beamforming, frequency allocations, and power levels. This permits satellite operators to reply in real time to congestion and interference, ensuring optimal performance even in crowded spectrum environments.
Are you able to explain how AI-driven pattern recognition improves signal quality and network reliability in satellite communications?
Pattern recognition lies at the guts of how we enhance satellite communications. Our platform identifies recurring interference events, signal degradation patterns, and other anomalies across greater than 50 signal characteristics. By learning from these patterns, our AI system can proactively optimize the network—adjusting parameters before performance issues arise. This not only improves signal quality but in addition increases the reliability and availability of communications, which is critical for enterprise, consumer, and particularly military applications.
How does AI optimize on-board computing efficiency to scale back processing requirements for direct-to-device (D2D) satellite links?
Our patented AI techniques reduce the computational burden required to determine and maintain D2D links by 25% to 40%. We accomplish this by streamlining the training sets utilized by our AI models and applying autonomous inference methods that minimize the necessity for raw processing on-board the satellite. This ends in lower power consumption, reduced thermal load, and longer satellite lifespan—making our solution not only smarter but more sustainable for space-based D2D services.
What role does autonomous machine-to-machine inference play in DGS’ AI technology for spectrum management?
Autonomous machine-to-machine inference is a cornerstone of our technology. With over 100 patents covering this capability (of our 320 issued patents), we’ve enabled our platform to operate without constant human oversight. It will possibly interpret spectrum usage, detect anomalies, predict interference, and make real-time decisions to optimize performance. This sort of intelligent autonomy is important for future satellite networks, which must adapt quickly and operate reliably under highly dynamic conditions.
With the growing congestion in low Earth orbit (LEO), how does RF Awareness ensure uninterrupted and scalable satellite communications?
LEO is becoming a bustling arena—with 1000’s of satellites and thousands and thousands of users. Our RF Awareness platform helps satellite operators thrive on this environment by delivering continuous RF monitoring, interference mitigation, and dynamic spectrum optimization. By fine-tuning signal parameters in real time and providing granular awareness of spectrum conditions, we empower operators to scale their services without compromising quality or reliability. In brief, we help them navigate the congestion—and switch it into opportunity.
How does AI-driven spectrum evaluation improve situational awareness and communications for military applications?
In defense environments, communications reliability is usually a matter of life or death. Our AI-powered spectrum evaluation enables military operators to keep up situational awareness even in contested or degraded environments. By constantly analyzing the electromagnetic spectrum and detecting interference—including potential jamming attempts—our platform provides actionable intelligence that enhances each resilience and tactical advantage. The flexibility to autonomously detect, classify, and mitigate threats in real time is a game-changer for contemporary military operations.
As AI becomes more integral to satellite operations, what future advancements does DGS foresee in autonomous satellite network management?
We see a future where satellite networks operate with minimal human intervention. Meaning not only self-optimizing performance and mitigating interference autonomously, but in addition autonomously provisioning services, adjusting to regulatory changes, and even orchestrating satellite-to-terrestrial handoffs in real time. Our technology lays the muse for these advancements—enabling intelligent, adaptive, and secure satellite networks that scale with demand and operate efficiently across multiple domains.
How does AI-powered RF Awareness support the mixing of LEO satellites with terrestrial 5G networks?
Seamless integration between satellites and terrestrial 5G is important for extending coverage and achieving true global connectivity. Our RF Awareness platform ensures that satellite systems can coexist with terrestrial networks by dynamically managing spectrum, identifying and mitigating cross-network interference, and optimizing signal characteristics for hybrid environments. This is particularly critical in urban and high-traffic areas where spectrum use is dense and highly variable.
In what ways can AI-driven RF spectrum management help address spectrum scarcity within the expanding satellite communications market?
Spectrum is a finite resource, and its efficient use is one among the largest challenges facing our industry. Our AI-driven platform addresses this by enabling dynamic spectrum sharing, real-time optimization, and intelligent interference mitigation. These capabilities allow operators to extract maximum value from the available spectrum—supporting more users, more devices, and more services without having additional bandwidth. Because the market continues to grow, this sort of intelligent management shall be the important thing to unlocking latest capability and sustaining long-term growth.
