NetMod: Toward Accelerating Cloud RAN Distributed Unit Modulation Within Programmable Switches

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Computers Pub Date : 2024-11-20 DOI:10.1109/TC.2024.3500379
Abdulbary Naji;Xingfu Wang;Ammar Hawbani;Aiman Ghannami;Liang Zhao;XiaoHua Xu;Wei Zhao
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Abstract

Radio Access Networks (RAN) are anticipated to gradually transition towards Cloud RAN (C-RAN), leveraging the full advantages of the cloud-native computing model. While this paradigm shift offers a promising architectural evolution to improve scalability, efficiency, and performance, significant challenges remain in managing the massive computing requirements of physical layer (PHY) processing. To address these challenges and meet the stringent Service Level Objectives (SLOs) in 5G networks, hardware acceleration technologies are essential. In this paper, we aim to mitigate this challenge by offloading 5G modulation mapping, a critical yet demanding function to encode bits into IQ symbols, directly onto the switch ASICs. Specifically, we introduce NetMod, a 5G New Radio (NR) standard-compliant in-network modulation mapper accelerator. NetMod leverages the capabilities of new-generation programmable switches within the C-RAN infrastructure to offload and accelerate PHY modulation functions. We implemented a NetMod prototype on a real-world platform using the Intel Tofino programmable switch and commodity servers running the Data Plane Development Kit (DPDK). Through extensive experiments, we demonstrate that NetMod achieves modulation mapping at switch line rate using minimal switch resources, thereby preserving ample space for traditional switching tasks. Furthermore, comparisons with a GPU-based 5G modulation mapper show that NetMod is 2.2$\boldsymbol{\times}$ to 3.3$\boldsymbol{\times}$ faster using only a single switch port. These results highlight the potential of in-network acceleration to enhance 5G network performance and efficiency.
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NetMod:在可编程开关内加速云RAN分布式单元调制
无线接入网(RAN)预计将逐渐过渡到云RAN (C-RAN),充分利用云原生计算模型的全部优势。虽然这种范式转变为改进可伸缩性、效率和性能提供了一种有希望的体系结构演变,但在管理物理层(PHY)处理的大量计算需求方面仍然存在重大挑战。为了应对这些挑战并满足5G网络中严格的服务水平目标(slo),硬件加速技术至关重要。在本文中,我们的目标是通过卸载5G调制映射来缓解这一挑战,5G调制映射是将比特编码为IQ符号的关键但要求很高的功能,直接加载到交换机asic上。具体来说,我们介绍了NetMod,一个符合5G新无线电(NR)标准的网络内调制映射器加速器。NetMod利用C-RAN基础设施中的新一代可编程交换机的功能来卸载和加速PHY调制功能。我们使用英特尔Tofino可编程交换机和运行数据平面开发工具包(DPDK)的商品服务器,在现实世界的平台上实现了NetMod原型。通过大量的实验,我们证明了NetMod使用最小的交换机资源实现了开关线路速率的调制映射,从而为传统的交换任务保留了充足的空间。此外,与基于gpu的5G调制映射器的比较表明,仅使用单个交换机端口,NetMod的速度为2.2$\boldsymbol{\times}$至3.3$\boldsymbol{\times}$。这些结果突出了网内加速在提高5G网络性能和效率方面的潜力。
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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来源期刊
IEEE Transactions on Computers
IEEE Transactions on Computers 工程技术-工程:电子与电气
CiteScore
6.60
自引率
5.40%
发文量
199
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.
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