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Paper Abstract and Keywords
Presentation 2022-05-11 15:40
[Invited Lecture] vRAN Acceleration by GPU -- NVIDIA Platform and Aerial SDK --
Hashimoto Noriyuki, Noda Makoto (NVIDIA) SR2022-3
Abstract (in Japanese) (See Japanese page) 
(in English) Virtualized RAN (vRAN) and Open RAN are promising technologies for the 5G and beyond 5G systems, where vRAN is composed of general-purpose hardware and Open RAN is built on open and industry-standard interfaces. Optimizing the baseband signal processing on the general-purpose hardware is one of the essential challenges to achieve the vRAN system since the baseband signal processing in 5G is known as very compute-intensive and strictly latency sensitive.
NVIDIA provides Aerial SDK as a reference implementation of High-PHY-layer functional block within baseband signal processing for NVIDIA GPU and NVIDIA Mellanox Smart NIC. Aerial SDK realizes vRAN with the GPU and Smart NIC by conforming to O-RAN Fronthaul Control/User/Synchronization-Plane interface for the Radio Unit (RU) connectivity and Small Cell Forum (SCF) 5G Femto Application Platform Interface (FAPI) for the MAC layer connectivity.
This presentation introduces that the NVIDIA platform with the GPU and Smart NIC enables high performance and full software-defined implementation of 5G vRAN systems. We also introduce some open-sourced reference implementations of the core technologies for packet processing of NVIDIA Mellanox Smart NIC in the SDK.
Keyword (in Japanese) (See Japanese page) 
(in English) vRAN / Open RAN / O-RAN / FAPI / GPU / DPU / Smart NIC / General-purpose hardware  
Reference Info. IEICE Tech. Rep., vol. 122, no. 12, SR2022-3, pp. 13-17, May 2022.
Paper # SR2022-3 
Date of Issue 2022-05-04 (SR) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF SR2022-3

Conference Information
Committee SR  
Conference Date 2022-05-11 - 2022-05-13 
Place (in Japanese) (See Japanese page) 
Place (in English) NICT Koganei 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Software Defined Radio, AI/Machine Learning, Quantum-assisted wireless communications, etc. 
Paper Information
Registration To SR 
Conference Code 2022-05-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) vRAN Acceleration by GPU 
Sub Title (in English) NVIDIA Platform and Aerial SDK 
Keyword(1) vRAN  
Keyword(2) Open RAN  
Keyword(3) O-RAN  
Keyword(4) FAPI  
Keyword(5) GPU  
Keyword(6) DPU  
Keyword(7) Smart NIC  
Keyword(8) General-purpose hardware  
1st Author's Name Hashimoto Noriyuki  
1st Author's Affiliation NVIDIA G.K. (NVIDIA)
2nd Author's Name Noda Makoto  
2nd Author's Affiliation NVIDIA G.K. (NVIDIA)
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Speaker Author-1 
Date Time 2022-05-11 15:40:00 
Presentation Time 30 minutes 
Registration for SR 
Paper # SR2022-3 
Volume (vol) vol.122 
Number (no) no.12 
Page pp.13-17 
#Pages 5 
Date of Issue 2022-05-04 (SR) 

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