2019/04/11 by Veronica Quintuna Rodriguez, Rodriguez, Veronica Quintuna, Fabrice Guillemin +1
Computer Science · Engineering · #68M10 #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #Performance (cs.PF)
paper · pdf · doi:10.48550/arxiv.1905.01141
openalex publication_date 2019/04/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, we address the virtualization and the centralization of real-time network functions, notably in the framework of Cloud RAN (C-RAN). We thoroughly analyze the required fronthaul capacity for the deployment of the proposed C-RAN architecture. We are specifically interested in the performance of the software based channel coding function. We develop a dynamic multi-threading approach to achieve parallel computing on a multi-core platform. Measurements from an OAI-based testbed show important gains in terms of latency; this enables the increase of the distance between the radio elements and the virtualized RAN functions and thus a higher aggregation of gNodeBs in edge data centers, referred to as Central Offices (COs).