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- W2940193634 abstract "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)." @default.
- W2940193634 created "2019-04-25" @default.
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- W2940193634 date "2019-02-01" @default.
- W2940193634 modified "2023-10-16" @default.
- W2940193634 title "Higher aggregation of gNodeBs in Cloud-RAN architectures via parallel computing" @default.
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- W2940193634 doi "https://doi.org/10.1109/icin.2019.8685900" @default.
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