PRAVEGA: Scaling Private 5G RAN via eBPF/XDP

Udhaya Kumar Dayalan, Ziyan Wu, Gaurav Gautam, Feng Tian, Zhi-Li Zhang
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Abstract

We exploit eBPF+XDP to scale and accelerate software packet processing in (O-RAN compliant) disaggregated 5G RAN (Radio Access Network). We argue that the Central Unit User Plane (CU-UP) component is likely the bottleneck in the 5G RAN user plane data path and therefore focuses on optimizing its performance. We propose an eBPF/XDP-based framework, PRAVEGA, and discuss additional options for further improvements.
PRAVEGA:通过eBPF/XDP扩展私有5G RAN
我们利用eBPF+XDP在(O-RAN兼容)分解的5G RAN(无线接入网络)中扩展和加速软件包处理。我们认为,中央单元用户平面(CU-UP)组件可能是5G RAN用户平面数据路径的瓶颈,因此我们将重点放在优化其性能上。我们提出了一个基于eBPF/ xdp的框架PRAVEGA,并讨论了进一步改进的其他选项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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