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Indoor Positioning using Distributed MIMO : Processing Architecture and FPGA Implementation

Iancu, Dumitra LU ; Tinnerberg, Lina LU ; Edfors, Ove LU orcid and Liu, Liang LU orcid (2024) 10th IEEE Nordic Circuits and Systems Conference, NORCAS 2024 In 2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings
Abstract

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel, practical realization of such systems is still lacking. We propose a highly accurate, low latency indoor distributed positioning multi-FPGA solution which leverages the particularities of a machine learning algorithm to obtain resource efficient hardware accelerators. We make use of the common infrastructure of the physical layer within a... (More)

Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel, practical realization of such systems is still lacking. We propose a highly accurate, low latency indoor distributed positioning multi-FPGA solution which leverages the particularities of a machine learning algorithm to obtain resource efficient hardware accelerators. We make use of the common infrastructure of the physical layer within a wireless network to explore the reusability and scalability of our design.

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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
keywords
6G Large Intelligent Surface, Distributed Massive MIMO, FPGA prototyping, Machine Learning
host publication
2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings
series title
2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings
editor
Nurmi, Jari ; Rodrigues, Joachim ; Pezzarossa, Luca ; Aberg, Viktor and Behmanesh, Baktash
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
10th IEEE Nordic Circuits and Systems Conference, NORCAS 2024
conference location
Lund, Sweden
conference dates
2024-10-29 - 2024-10-30
external identifiers
  • scopus:85211920479
ISBN
9798331517663
DOI
10.1109/NorCAS64408.2024.10752470
language
English
LU publication?
yes
id
e6856897-8094-425b-af5a-b5f64b9b200f
date added to LUP
2025-01-27 12:00:16
date last changed
2025-06-02 21:29:57
@inproceedings{e6856897-8094-425b-af5a-b5f64b9b200f,
  abstract     = {{<p>Distributed massive MIMO systems are expected to be part of the upcoming generation of wireless systems where joint communication and positioning opens the possibility of exploring new applications. In this work we investigate one of the various ways of deploying these kinds of systems, through the concept of Large Intelligent Surfaces (LISs). Although the concept of LISs is not completely novel, practical realization of such systems is still lacking. We propose a highly accurate, low latency indoor distributed positioning multi-FPGA solution which leverages the particularities of a machine learning algorithm to obtain resource efficient hardware accelerators. We make use of the common infrastructure of the physical layer within a wireless network to explore the reusability and scalability of our design.</p>}},
  author       = {{Iancu, Dumitra and Tinnerberg, Lina and Edfors, Ove and Liu, Liang}},
  booktitle    = {{2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings}},
  editor       = {{Nurmi, Jari and Rodrigues, Joachim and Pezzarossa, Luca and Aberg, Viktor and Behmanesh, Baktash}},
  isbn         = {{9798331517663}},
  keywords     = {{6G Large Intelligent Surface; Distributed Massive MIMO; FPGA prototyping; Machine Learning}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings}},
  title        = {{Indoor Positioning using Distributed MIMO : Processing Architecture and FPGA Implementation}},
  url          = {{http://dx.doi.org/10.1109/NorCAS64408.2024.10752470}},
  doi          = {{10.1109/NorCAS64408.2024.10752470}},
  year         = {{2024}},
}