In this paper, we propose digitization of the network and use of the operational digital twin concept as a framework to provide optimal solutions for RF capacity supply-demand problems. We introduce data-driven algorithms to recommend physical or logical changes in the access network and traffic reallocation models utilizing the digital twin plane.
This paper also shows how we can use simulations in the digital twin plane to provide efficient and optimized data-driven outcomes and options.
Hence, the true benefit of these simulations is to enable a more optimized and predictive approach to managing RF capacity within the HFC network.