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      Real-time network digital twin_experimental setup for proof of concept

      Network digital twins (NDTs) are virtual representations of network assets and processes, such as in 5G or 6G networks, synchronized with physical properties. NDTs can be leveraged for network monitoring, automation, and optimization tasks. Simulations and predictions from the NDT can be provided to scout the feasibility of important processes from a network connectivity quality perspective. The real-time modeling of a key performance indicator (KPI) enables continuous network management. This article presents results and insights from a proof-of-concept NDT for an enterprise use case using real-time data from commercially available communication equipment.
      Research paper
      #6G #NetworkDigitalTwins

      Results demonstrate the NDT’s strong ability to predict the UE downlink throughput based on positioning data, radio measurements, and target throughput rate of the enterprise equipment, despite different types of variabilities of the communication paths and varying target throughput rates. The results indicate that insights and predictions from an NDT can help enterprise managers to dimension the cellular network, perform monitoring, and process optimization tasks. Furthermore, this study illustrates the importance of capturing how multiple UEs dynamically share the available radio resources.

       

      Full abstract in IEEEXplore DOI: 10.1109/MWC.001.2400462

       

      Authors 

      Oscar Stenhammar, Ericsson Research, and KTH Royal Institute of Technology, Sweden

      Stefano Sorrentino, Fedor Chernogorov, Ricardo Blasco, Gabor Fodor – Ericsson Research

      Carlo Fischione, KTH Royal Institute of Technology, Sweden

       

      Published in IEEE Wireless Communications

       

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      Real-time network digital twin_experimental setup for proof of concept

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