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Software Defined Radio platform to evaluate processing latency of 5G NR MIMO functions

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Résumé

This paper presents a Software Defined Radio (SDR) implementation in C++ of a Multiple Input Multiple Output (MIMO) transceiver platform using the open-source 5G physical layer free5GRAN. The platform evaluates the processing latency of physical layer functions at the receiver on a x86 processor, required for 2 and 4 layer MIMO transmissions. The goal is to verify if the functions can be implemented in software, and integrated into the free5GRAN 5G physical layer. The implemented MIMO transmission schemes are Spatial multiplexing based on V-BLAST and Alamouti Space Frequency Block Coding based on LTE Transmission Mode 2. Results show that MIMO decoding adds significant processing latency that may not respect the time budget for decoding. To reduce latency, functions have been implemented using AVX2 instructions and processing times between sequential and AVX2 execution are compared. Measurements are performed in a Faraday cage and the code will be open-source to provide reproductible results.

langue originaleAnglais
titre5G-MeMU 2023 - Proceedings of the 2023 3rd ACMWorkshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, Part of
Sous-titreSIGCOMM 2023
EditeurAssociation for Computing Machinery, Inc
Pages21-27
Nombre de pages7
ISBN (Electronique)9798400703010
Les DOIs
étatPublié - 1 nov. 2023
Evénement3rd ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, 5G-MeMU 2023, co-located with ACM SIGCOMM 2023 - New York, États-Unis
Durée: 10 sept. 202310 sept. 2023

Série de publications

Nom5G-MeMU 2023 - Proceedings of the 2023 3rd ACMWorkshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, Part of: SIGCOMM 2023

Une conférence

Une conférence3rd ACM Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases, 5G-MeMU 2023, co-located with ACM SIGCOMM 2023
Pays/TerritoireÉtats-Unis
La villeNew York
période10/09/2310/09/23

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