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Realistic beamforming design using SRS-based channel estimate for ns-3 5G-LENA module

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Bojovic, BiljanaMés informacióMés informació
Lagén Morancho, Sandra
Giupponi, Lorenza
Document typeConference report
Defense date2021
PublisherAssociation for Computing Machinery (ACM)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectREDES 5G EFICIENTES EN RECURSOS (AEI-TEC2017-88373-R)
Abstract
Beamforming (BF) is a key procedure to overcome propagation limits in millimeter-wave bands but also to extend network coverage in sub 6 GHz bands, as considered in recent 3GPP and IEEE communication standards. Up to date, ns-3 included various ideal BF methods, in which an ideal channel state acquisition is assumed and no BF overhead is considered. However, ns-3 lacks the implementation of realistic BF methods, in which the overhead needed to perform BF-related procedures and the errors due to a non-ideal channel state acquisition are taken into account. A way to perform realistic BF is to rely on Sounding Reference Signals (SRS) for channel estimation and then determine the best BF vectors based on the channel estimate. In this paper, we first present an abstraction model to perform BF using SRS-based channel estimation, and then we provide the implementation details of 5G New Radio (NR)-compliant SRSs and new realistic BF methods using SRS-based channel estimate, as included in the ns-3 5G-LENA simulator. Simulations are provided to compare realistic BF and ideal BF methods, for different propagation scenario conditions and SRS transmitted powers.
CitationBojovic, B.; Lagen, S.; Giupponi, L. Realistic beamforming design using SRS-based channel estimate for ns-3 5G-LENA module. A: Workshop on ns-3. "Workshop on Ns-3 (WNS3 2021): Virtual Event, USA: June 23-24, 2021: proceedings". New York: Association for Computing Machinery (ACM), 2021, p. 81-87. ISBN 978-1-4503-9034-7. DOI 10.1145/3460797.3460809. 
URIhttp://hdl.handle.net/2117/353101
DOI10.1145/3460797.3460809
ISBN978-1-4503-9034-7
Publisher versionhttps://dl.acm.org/doi/10.1145/3460797.3460809?sid=SCITRUS
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  • SPCOM - Processament del Senyal i Comunicacions - Ponències/Comunicacions de congressos [342]
  • Doctorat en Enginyeria Telemàtica - Ponències/Comunicacions de congressos [58]
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