Abstract
5G-COMPLETE project deals with the delivery of novel technological blocks in terms of both physical connectivity and network softwarization for 5G and beyond 5G (B5G) networks. The solutions developed within the project employ service-driven slice management while integrating the orchestration of radio, transport and core network resources; including both communication and computational ones (e.g., Multi-Access Edge Computing (MEC) and cloud computing). In this paper, we focus on the end-to-end (E2E) resource optimization framework proposed within 5G-COMPLETE, while highlighting its ability to perform resource allocation targeting at network energy efficiency optimization, and consequently, decreased operational expenditure in 5G and B5G networks. Simulation results are also provided to demonstrate the significant gains of the developed resource allocation algorithms compared to the state-of-the-art.
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