Thank you for the question! Developing and maintaining digital twins for wireless networks requires a blend of skills from several domains. The most valuable skills fall into these categories:

• Wireless Network Expertise: A deep understanding of wireless technologies (5G, 4G, LTE, etc.), network architecture, protocols (e.g., TCP/IP, Diameter), and performance metrics is crucial. Experience with network optimization and troubleshooting is highly beneficial.
• Software Engineering & Development: Proficiency in programming languages like Python, Java, or C++ is essential for developing and maintaining the digital twin software. Experience with cloud platforms and relevant APIs is also highly valuable.
• Data Science & Analytics: Skills in data analysis, machine learning, and statistical modeling are necessary for extracting insights from the vast amounts of data generated by wireless networks. Experience with data visualization tools is also beneficial.
• Modeling & Simulation: The ability to create accurate and realistic models of wireless networks is key. This involves understanding simulation tools and techniques, and the ability to translate real-world network behavior into a digital representation.
• Cloud Computing: Familiarity with cloud platforms and their services is crucial for deploying and managing the digital twin infrastructure. This includes understanding scalability, security, and cost optimization strategies.

I would highly recommend reading more about Nokia Network Digital Twin | Nokia DAC to learn more about our company's work on network digital twins.

31 July, 2025 17:07

Thank you so much for the detailed and insightful response! Those are incredibly helpful, and I’ll definitely explore Nokia DAC and aim to strengthen my software and modeling experience alongside my wireless research.
I appreciate your guidance. It’s very encouraging as I prepare for future contributions to this field. Thank you again!

31 July, 2025 17:34