In this paper, a novel methodology is proposed, in which a value chain in sliced networks is presented. Based on the proposed value chain, the profits generated by different slices are an. lyzed, and the
We have derived the energy cost by adding the consumption cost of every electrical equipment in the different locations within the network such as those in the central office, cell sites and street cabinets.
5G outdoor cabinets, also referred to as 5G cabinets or 5G enclosures, are boxes designed to house and protect the electrical equipment to support 5G-LTE technology.
By examining key cost components, ongoing operational costs, and industry-specific justifications, businesses can make informed decisions about whether private 5G is the right fit for their needs.
For calculations, the authors define the concepts of CAPEX and OPEX, and present the architecture of the 5G network. The calculation was performed by the optimal method in each individual scenario.
In this paper, a cost model for the virtualization infrastructure needed for network slice provisioning is developed and subsequently applied to a real smart factory.
integration of private wireless networks with 5G capabilities. Currently, a range of innovative applications and use cases are emerging and resulting in improved enterprise performance and solutions. The
Abstract: This paper addresses the optimal placement of Multi-Access Edge Computing (MEC) nodes in 5G networks, aiming to meet stringent performance requirements while minimizing
The need for efficient network slicing in 5G is important from the perspective of reducing the network operator''s cost energy consumption while providing quality of service.
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