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TechDogs-"Digital Global Systems Cements AI Leadership For Spectrum Optimization"

IT Security

Digital Global Systems Cements AI Leadership For Spectrum Optimization

Business Wire
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As other companies cite DGS in their patent applications, DGS remains focused on using AI, RF, and machine-to-machine innovations to make the dynamically responsive wireless network a reality

LAS VEGAS & TYSONS, Va.--(BUSINESS WIRE)--Mobile World Congress – Booth #501

Digital Global Systems (DGS), a leader in the detection, identification, classification, and geolocation of radio frequency (RF) signals, with more than 230 patents issued and 105 pending, today announced that as of August 31st, it has strengthened its artificial intelligence (AI) leadership with an expanded patent portfolio and is now the global leader in patents for automated spectrum management and the leader in patents for AI-related spectrum optimization.

Every wireless industry stakeholder, including network operators, service and spectrum providers, and enterprise users, wants to leverage AI to optimize public and private wireless networks and make them more responsive and adaptable to the digital services they support. DGS, leveraging a patent process that began in 2013, is in an enviable position to achieve this.

While others in the telco industry use large language models (LLM) to facilitate human-to-machine interactions, DGS is singularly focused on using machine-to-machine (M2M) capabilities to optimize spectrum dynamically. For over a decade, they have pursued an AI patent strategy that allows them to augment the types of data that can be identified, classified, collected, and used to provide a stronger foundation than existing optimization efforts. Today, the company can make true AI-enabled RF Awareness possible using its sensor technology to notify the RAN of real-time environmental changes automatically. This delivers a holistic view of wireless spectrum usage that allows those working with DGS to manage spectrum more efficiently and sustainably and unlock new AI- and M2M-based service capabilities.

Through its leadership in AI-enabled RF Awareness, DGS can deliver:

  • Service-Aware Dynamic Spectrum Sharing (SA DSS): With a real-time view of service needs, spectrum allocation service (SAS) providers and MNOs can enable service coexistence, ensuring shared spectrum is allocated more sustainably and efficiently to meet the growing numbers of enterprise private wireless network users.
  • RF-Aware Network Optimization: Using the enhanced data intelligence that DGS sensor technology provides on signal quality, coverage, and capacity, network operators can mitigate interference that can impact service reliability, fine-tune network parameters based on customer needs, and create new services.

DGS continues to leverage AI, machine learning (ML), and M2M connectivity to expand RF service innovations. One way this will be apparent is how DGS is streamlining data capture, making it autonomous and moving the industry toward true network self-optimization. This will allow wireless networks to leverage data collected using DGS sensor technology for ML and use changes in that data to automate network fine-tuning activities using M2M and unique customer-defined parameters. This will result in dynamically aware networks that use those tailored parameters to automate complex real-time decisions and processes to achieve customers’ business goals.

“This is something that cannot be done manually at this scale,” says DGS Chairman and CEO Fernando Murias. “And it’s something that we’ve been working on for more than a decade. We identified market gaps early on and now hold a volume of priority patents that benefit those working with us. For example, we predicted how quickly demand for spectrum would grow, so we knew, even back then, that there would be no choice but to enable Service-aware Dynamic Spectrum Sharing. And the same can be said for making network optimization autonomous – the steps that need to happen cannot be done manually at this scale, so we identified and applied for patents that leverage AI, ML, and M2M to address that.”

DGS has streamlined its patent process since 2013. Today, most of its patents are issued in under 6 months to up to a year, compared to the 3 to 5 years often taken by other companies. DGS has a 100% approval rate for AI patents due to its clear leadership and data-driven approach.

While many DGS patents focus on AI, ML, and M2M, the company thanks human foresight and ingenuity for its AI leadership. It comes down to the business insights of Murias and the technical expertise of DGS CTO, Armando Montalvo, and the way they approach industry challenges. “We knew that dynamic, autonomous decision-making couldn’t happen if the analysis would be delayed as data traveled to the external cloud, so we’ve created ways to deliver actionable intelligence at the edge,” comments Montalvo. “We’ve also simplified the calculations to speed up this process and enable real-time network optimization. AI is very power-intensive, so we’ve looked at ways to reduce the power, making it more sustainable for companies who want to improve their ESG credentials. Our approach means we can solve issues in a fraction of the time it would take others. Many of those must now cite us as ‘prior art’ in patent applications.”

As the number of companies wanting to adopt AI within the wireless industry grows, DGS remains focused on market gaps and differentiating its offering through its AI leadership, which it is building, one patent application at a time. As it continues to focus on creating dynamically responsive networks, it is helping industry network operators, providers, and enterprises achieve their goals innovatively.

About DGS

Headquartered in northern Virginia, DGS helps network operators, hyperscalers, infrastructure providers, private wireless customers, and other industry players address the global industry challenge of wireless spectrum scarcity. Since 2013, DGS has been issued more than 230 patents, with over 100 patents pending, setting the standard for its leadership in advancing the detection, identification, classification, and geolocation of radio frequency (RF) signals. AI and machine learning allow industry stakeholders access, awareness, and real-time usage of crucial RF data to diminish interference and enable new wireless services.


Contacts

Media:
Kristianna Sanders,
Calysto Communications™
404-266-2060, Ext. 28
ksanders@calysto.com

First published on Wed, Oct 9, 2024

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