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MmWave Massive MIMO Processing in Demanding Environments: An Aircraft Cabin Deployment Study
Lund University, Electrical and Information Technology Department, Sweden.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0002-4640-7020
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0001-8517-7996
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Communication Systems, CoS.ORCID iD: 0000-0003-0525-4491
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2023 (English)In: Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 1631-1635Conference paper, Published paper (Refereed)
Abstract [en]

Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system performance and hardware implementation aspects. Ray-tracing methods with realistic geometry coefficients captured from commercial airplane models are used to represent this in-door dense environment. A hardware-in-the-loop simulator running on the AMD/Xilinx PYNQ FPGA is leveraged to conduct fast design space exploration. The outcomes of our investigation provide insights and guidelines in strategies for implementing and deploying mmWave massive MIMO systems in-flight cabins, for instance, how to place and distribute access points to enhance coverage and serve quality and the appropriate quantization strategy balancing hardware cost and signal processing quality.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 1631-1635
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-350251DOI: 10.1109/IEEECONF59524.2023.10477056ISI: 001207755100298Scopus ID: 2-s2.0-85190386577OAI: oai:DiVA.org:kth-350251DiVA, id: diva2:1883444
Conference
57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023, Pacific Grove, United States of America, Oct 29 2023 - Nov 1 2023
Note

Part of ISBN 9798350325744

QC 20240710

Available from: 2024-07-10 Created: 2024-07-10 Last updated: 2024-10-24Bibliographically approved

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Topal, Ozan AlpÖzger, MustafaCavdar, Cicek

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