Digital Twin Consortium Launches New Working Group

By Rich Handley

The team will focus on how digital twin technologies can help telecommunication providers facilitate communication and enable access to essential services.

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The Digital Twin Consortium (DTC) has announced a new working group to address the application and adoption of digital twins in the telecommunications market. Telecommunication providers enable people to connect and communicate with each other regardless of physical distance, the Consortium explains, adding that as the world becomes increasingly connected and reliant on technology, telecom providers will play a crucial role in facilitating communication and enabling access to essential services.

Research conducted by Analysys Mason indicates that the telecommunications sector is dealing with rising inflation, particularly from the energy sector. Market challenges are hampering telecom providers from delivering services, opening new revenue streams and returning value to shareholders. "Current networking infrastructures often face fragmentation issues that make it difficult to support new network rollouts, expand capacity, and introduce new features that can help address societal challenges," said Dan Isaacs, the Digital Twin Consortium's GM and CTO, in a prepared statement.

Digital Twin Consortium Launches New Working Group"Digital twins provide a 360-degree view of network performance and usage patterns," Isaacs explained, "enabling improved analysis, optimal coverage, accurate predictive analytics and effective management approaches." By using a virtual model of an entire area or process, the Consortium indicates, managers can visualize and test various initiatives, making data-driven decisions based on billions of network performance data points. These initiatives can then be evaluated through more precise enterprise-level analytics and location intelligence to identify optimal implementation scenarios.

According to the Consortium, digital twins can simulate the propagation of radio waves in multiple environments, as well as identify the optimal placement of antennas and repeaters for maximum coverage and signal strength. A digital twin of a satellite communications system or cellular tower, for instance, could monitor performance in real time and identify potential issues or faults before they became critical.

By using digital twins to optimize satellite communications systems and overall constellation performance, companies can provide more reliable and consistent service to their customers, especially in remote or difficult-to-reach areas. "EDX builds planet-scale 3D geospatial digital twins that are game-changers in key industries, such as wireless, utilities and smart cities," added Anoop Kaur Bowdery, EDX Wireless's COO, in the prepared statement. "3D geospatial digital twins can significantly improve decision-making, collaboration, and planning for mobile network operators."

The DTC's Telecommunications Working Group plans to embark upon telecom market challenges using digital twins, including platform development for emerging technologies; enabling smart cities' economic and societal structure improvements; allowing for sustainable energy reuse; bridging the gap to non-IP-based networking; fostering a faster path to information- and intent-based networking; providing transparent, 360-degree cybersecurity; and creating novel design paradigms, including artificial intelligence and machine learning, to address societal challenges.

The new working group will define and identify digital twin applications for the telecommunications industry, the Consortium explains. It will explore implementation scenarios utilizing extended reality (XR) capabilities and advanced simulation perspectives, ensuring a secure, scalable solution for enterprise-level XR data visualization for geospatial analytics and location intelligence. What's more, the new group will investigate use cases and reference implementations for intelligent infrastructure, smart cities and other applications, such as network design optimization, operations and capacity planning.