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In this paper, we address the virtualization and the centralization ofreal-time network functions, notably in the framework of Cloud RAN (C-RAN). Wethoroughly analyze the required fronthaul capacity for the deployment of theproposed C-RAN architecture. We are specifically interested in the performanceof the software based channel coding function. We develop a dynamicmulti-threading approach to achieve parallel computing on a multi-coreplatform. Measurements from an OAI-based testbed show important gains in termsof latency; this enables the increase of the distance between the radioelements and the virtualized RAN functions and thus a higher aggregation ofgNodeBs in edge data centers, referred to as Central Offices (COs).

Higher aggregation of gNodeBs in Cloud-RAN architectures via parallel computing