MmWave Massive MIMO Processing in Demanding Environments - An Aircraft Cabin Deployment Study
(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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- author
- Cheng, Sijia LU ; Topal, Ozan Alp ; Ozger, Mustafa ; Cavdar, Cicek ; Liu, Liang LU and Edfors, Ove LU
- organization
- publishing date
- 2023
- 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}}, }