Telefonaktiebolaget Lm Ericsson (Publ)

Rerngvit Yanggratoke

Andreas Johnsson

Paul Stjernholm

Hareesh Puthalath

Serveh Shalmashi

There is provided a method for estimating power saved in a first network. The method is performed by a system. The method includes estimating the power saved in the first network as a difference between: a relationship between power consumption in the first network as a function of physical resource block usage in the first network when a power saving feature is deactivated in the first network, and at least one data point indicative of the power consumption in the first network for a physical resource block usage value when the power saving feature is activated in the first network.

Estimating power saved in a network

A method for a feasibility check of a new RAN slice performed by a network node is provided. The method includes computing a first estimate of occupied resources for each resource within at least one of the network node and a cell of the network node. The first estimate performed for each resource using historical data of a measurement of utilization of each resource. The method further includes applying a trained supervised machine learning model to provide a second estimate of resource demand for each resource for the new RAN slice. The method further includes comparing a sum of the first estimate and the second estimate to a defined threshold value; and admitting the new RAN slice when the sum has a value not greater than the defined threshold value per resource.

Radio access network slice feasibility check based on machine learning

Presented are methods for performing a constant time flow lookup utilizing parallel processing technology. The methods are suitable for multiprocessor and/or multi-core processor computing environments. The method generates hash table driven tables of exact flow matching patterns and then provides the generated tables to parallel processing based flow selection procedure that iteratively finds the highest priority flow from the exact flow matching patterns. The method is scalable based on the linear relationship between the number of processors and/or processor cores and the time required to perform the lookup. The method is also portable because it does not require any special or custom hardware typically associated with this type of lookup.

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Stockholm, Sweden

Rerngvit Yanggratoke