Telecom networks face mounting pressure from rising complexity and escalating operational demands, forcing carriers to seek innovative approaches for maintaining efficiency, sustainability, security and service quality. Digital twin technology—which creates virtual representations of entire network ecosystems—has emerged as a promising solution, especially as autonomous networks proliferate across the industry.
These virtual network models encompass infrastructure, connectivity and services while enabling sophisticated autonomous functions including self-configuration, self-diagnosis, self-healing and self-optimization. By establishing secure testing grounds where artificial intelligence can be refined and validated without jeopardizing live network operations, digital twins allow operators to confidently roll out changes only after confirming their safety and security.
Implementation of such sophisticated systems presents considerable obstacles. Legacy infrastructure persisting in many networks creates barriers to achieving real-time data synchronization and accuracy—a critical concern given that AI performance depends entirely on input data quality. Furthermore, network environments frequently remain fragmented across multiple vendors and operational domains, necessitating the consolidation and standardization that digital twin deployment demands, along with fundamentally revised approaches to network administration and oversight.
These hurdles are surmountable with appropriate technological frameworks. Comarch's recently released white paper, Advanced Network Management and Optimization with Digital Twins, details how the company's solutions and expertise can facilitate this transition while providing comprehensive analysis of digital twin advantages.
Source: Mobile Europe
