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Telecom Business Review | Monday, April 05, 2021
Network operators face significant data quality challenges as they launch FTTH, 5G, and software-defined networking. The use of digital twins can assist in overcoming these obstacles.
FREMONT, CA: In today's world, businesses in various sectors are reaping the benefits of Digital Twins in various ways. With this technology's aid, users can create advanced models and prototypes, control inventory in real-time on the site, and predict maintenance needs. A Digital Twin has the greatest benefit of allowing an organization to see what is happening at every stage of every process, thereby reducing the amount of time and money spent on a project and reducing future errors. For example, Digital Twins are becoming increasingly important in the telecommunications sector as fiber to the home (FTTH) and 5G rollouts are likely to put a lot of strain on existing network equipment. Opening up additional bandwidth on the spectrum may tax the existing infrastructure to the maximum.
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Benefits of digital twin
Regardless of their size, all telecommunications operators can benefit from the deployment of digital twins. A variety of operational efficiency improvements can be realized, including new ways of planning, designing, deploying, optimizing networks, and improving the overall operational life cycle. For telcos, this would save a lot of time and resources, while simulated outcomes would provide insights into developing new business models that are innovative and new. An interactive Digital Twin improves the understanding of network performance, business processes, and customer behavior for telecommunications companies. Telecom operators are now forced to stop allowing months between real changes and digital representations of these changes. This technology lends itself well to network design as it gives an operator the ability to keep a detailed inventory of network assets deployed across a network and manage changes to the network as they occur. Additionally, Digital Twins that can be probed and discovered allow a close track of existing infrastructure, simplifying the process of deploying expansions, upgrades, and modifications to existing infrastructure. With the help of Machine Learning, the use of a Digital Twin can be used to perform advanced what-if analyses, identify anomalies in the network, and predict faults and failures.
When it comes to deploying and managing dense fiber networks, Digital Twins provide an easy way to manage a huge amount of passive infrastructure and active equipment. It includes routers, bridges, multiplexers, antennas, battery backups, alarms, and power generators, among others, the most important components.
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