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MmWave Massive MIMO Processing in Demanding Environments - An Aircraft Cabin Deployment Study

Cheng, Sijia LU ; Topal, Ozan Alp ; Ozger, Mustafa ; Cavdar, Cicek ; Liu, Liang LU orcid and Edfors, Ove LU orcid (2023) 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 In Conference Record - Asilomar Conference on Signals, Systems and Computers p.1631-1635
Abstract

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... (More)

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.

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Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
series title
Conference Record - Asilomar Conference on Signals, Systems and Computers
editor
Matthews, Michael B.
pages
5 pages
publisher
IEEE Computer Society
conference name
57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
conference location
Pacific Grove, United States
conference dates
2023-10-29 - 2023-11-01
external identifiers
  • scopus:85190386577
ISSN
1058-6393
ISBN
9798350325744
DOI
10.1109/IEEECONF59524.2023.10477056
language
English
LU publication?
yes
id
79ab747c-f18c-491a-a8be-1d5ece84c9ff
date added to LUP
2024-04-29 16:19:09
date last changed
2024-04-29 16:19:19
@inproceedings{79ab747c-f18c-491a-a8be-1d5ece84c9ff,
  abstract     = {{<p>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.</p>}},
  author       = {{Cheng, Sijia and Topal, Ozan Alp and Ozger, Mustafa and Cavdar, Cicek and Liu, Liang and Edfors, Ove}},
  booktitle    = {{Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023}},
  editor       = {{Matthews, Michael B.}},
  isbn         = {{9798350325744}},
  issn         = {{1058-6393}},
  language     = {{eng}},
  pages        = {{1631--1635}},
  publisher    = {{IEEE Computer Society}},
  series       = {{Conference Record - Asilomar Conference on Signals, Systems and Computers}},
  title        = {{MmWave Massive MIMO Processing in Demanding Environments - An Aircraft Cabin Deployment Study}},
  url          = {{http://dx.doi.org/10.1109/IEEECONF59524.2023.10477056}},
  doi          = {{10.1109/IEEECONF59524.2023.10477056}},
  year         = {{2023}},
}