Local 5g operator architecture for delay critical telehealth applications
- Post by: Rakshitha De Silva, Yushan Siriwardhana, Tharaka Samarasinghe, Mika Ylianttila and Madhusanka Liyanage
- September 10, 2020
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Machine Learning (ML) and Artificial Intelligence (AI) techniques are widely adopted in the Network softwarization enables the novel concept of Local 5G Operator (L5GO) networks, for deploying localized 5G solutions to serve case and location specific communication needs. This paper proposes a L5GO network architecture for delay critical future telehealth services, considering two use cases on augmented reality assisted and robotic aided surgery. The paper compares the latency performance of the proposed L5GO architecture with a traditional legacy network and a network equipped with Multi-access Edge Computing (MEC). The results highlight the unique advantages of utilizing an L5GO to cater the communication needs of delay critical telehealth, compared to a traditional network.
