Is OpenCL Driven Reconfigurable Hardware Suitable for Virtualising 5G Infrastructure?
العنوان: | Is OpenCL Driven Reconfigurable Hardware Suitable for Virtualising 5G Infrastructure? |
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المؤلفون: | Koteswararao Kondepu, Luca Maggiani, F. Civerchia, Maxime Pelcat, Piero Castoldi, Luca Valcarenghi |
المساهمون: | Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP), Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Sma-RTy SAS, This work was supported by EC H2020 5GROWTH project (grant agreement no. 856709)., Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Nantes Université (NU)-Université de Rennes 1 (UR1) |
المصدر: | IEEE Transactions on Network and Service Management IEEE Transactions on Network and Service Management, IEEE, 2020, 17 (1-1), ⟨10.1109/TNSM.2020.2964392⟩ IEEE Transactions on Network and Service Management, 2020, 17 (1-1), ⟨10.1109/TNSM.2020.2964392⟩ e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Computer Networks and Communications, Computer science, Hardware Acceleration, 02 engineering and technology, Base station, Software, Hardware acceleration, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Field-programmable gate array, Telecomunicaciones, OpenCL, business.industry, Reconfigurable computing, Physical layer, 020206 networking & telecommunications, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Software deployment, Embedded system, Reconfigurable Com- puting, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, 5G |
الوصف: | The Open Computing Language (OpenCL) is increasingly adopted for programming processors with reconfigurable hardware acceleration. The 5G telecommunication infrastructure, imposing strong latency constraints on the managed communications, may benefit from OpenCL-designed accelerated processing. This paper presents the first study to evaluate OpenCL hardware acceleration in the context of a 5G base station physical layer. The implementation and optimization process to accelerate the Orthogonal Frequency Division Multiplexing (OFDM) part of the 5G downlink is conducted on a high-end Field Programmable Gate Array (FPGA). We show that the proposed OpenCL implementation complies with the 5G processing timing requirements since the computation time is consistent with the present 5G deployment. However, to be suitable for 5G, the OpenCL platform must improve the data latency transfer between hardware and software. Moreover, a further enhancement for the OpenCL implementation is to improve the code by means of OpenCL optimization techniques. In this way, the performance can be further improved with respect to optimized software on vectorized high-end processors. This work was supported by EC H2020 5GROWTH project (grant agreement no. 856709). |
وصف الملف: | application/pdf |
تدمد: | 1932-4537 |
DOI: | 10.1109/tnsm.2020.2964392 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45f5f4b12db6f245d4de3d57e6db492 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....f45f5f4b12db6f245d4de3d57e6db492 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 19324537 |
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DOI: | 10.1109/tnsm.2020.2964392 |