Nuberu: reliable RAN virtualization in shared platforms
Gines Garcia-Aviles, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Pérez, Pablo Serrano, Albert Banchs
摘要
RAN virtualization will become a key technology for the last mile of next-generation mobile networks driven by initiatives such as the O-RAN alliance. However, due to the computing fluctuations inherent to wireless dynamics and resource contention in shared computing infrastructure, the price to migrate from dedicated to shared platforms may be too high. Indeed, we show in this paper that the baseline architecture of a base station's distributed unit (DU) collapses upon moments of deficit in computing capacity. Recent solutions to accelerate some signal processing tasks certainly help but do not tackle the core problem: a DU pipeline that requires predictable computing to provide carrier-grade reliability.
We present Nuberu, a novel pipeline architecture for 4G/5G DUs specifically engineered for non-deterministic computing platforms. Our design has one key objective to attain reliability: to guarantee a minimum set of signals that preserve synchronization between the DU and its users during computing capacity shortages and, provided this, maximize network throughput. To this end, we use techniques such as tight deadline control, jitter-absorbing buffers, predictive HARQ, and congestion control. Using an experimental prototype, we show that Nuberu attains >95% of the theoretical spectrum efficiency in hostile environments, where state-of-art approaches lose connectivity, and at least 80% resource savings.
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引用它的顶会 Paper8
- A case for stateless mobile core network functions in spaceYuanjie Li, Hewu Li, Wei Liu, Lixin Liu 等SIGCOMM 2022 · 被引用 59 次
- Taking 5G RAN Analytics and Control to a New LevelXenofon Foukas, Bozidar Radunovic, Matthew Balkwill, Zhihua LaiMobiCom 2023 · 被引用 47 次
- CloudRIC: Open Radio Access Network (O-RAN) Virtualization with Shared Heterogeneous ComputingLeonardo Lo Schiavo, Gines Garcia-Aviles, Andres Garcia-Saavedra, Marco Gramaglia 等MobiCom 2024 · 被引用 25 次
- ScalO-RAN: Energy-aware Network Intelligence Scaling in Open RANStefano Maxenti, Salvatore D'Oro, Leonardo Bonati, Michele Polese 等INFOCOM 2024 · 被引用 17 次
- Resilient Baseband Processing in Virtualized RANs with SlingshotNikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim 等SIGCOMM 2023 · 被引用 17 次
它引用的顶会 Paper3
- Contention-Aware Performance Prediction For Virtualized Network FunctionsAntonis Manousis, Rahul Anand Sharma, Vyas Sekar, Justine SherrySIGCOMM 2020 · 被引用 57 次
- Bayesian Online Learning for Energy-Aware Resource Orchestration in Virtualized RANsJose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Pérez, George IosifidisINFOCOM 2021 · 被引用 34 次
- Microscope: Queue-based Performance Diagnosis for Network FunctionsJunzhi Gong, Yuliang Li, Bilal Anwer, Aman Shaikh 等SIGCOMM 2020 · 被引用 17 次
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