5G control apps: Enabling multiservice programmability in a disaggregated radio access network

Several important lessons learnt from the design and usage of the system so far in- clude: (1) The DCPAC ontology in conjunction with ASO has proven sufficiently expressive

Given the fact that combinatorial auctions are computationally complex [4] and challenging in terms of truthfulness, we further propose an approach, which we term Truthful

However, these schemes are not suitable for the network slicing case, due to: (i) the inaccessibility of private data, since the service-level metrics may contain personal and

1) Seamless Data Flow: This is, perhaps, the greatest requirement for 5G monitoring due to a multitude of important parameters involved: (i) the massive data scale combined with

It enables slice owners to (a) create and manage slices, (b) perform customized control logics (e.g., handover decision) and/or customized CP/UP processing (e.g., packet

In this sense, multiple network services can be provided on top of the 5G architecture via composing each customized end-to-end (E2E) logical network in a flexible manner,

We propose a Mixed Integer Quadratically Constrained Programming (MIQCP) model for the efficient placement of Virtualized Network Function (VNF) chains in future 5G systems,

In this demonstration, we show a prototype of a RAN slicing run- time system to enable flexible slice customization on the top of a disaggregated RAN infrastructure [1] with