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Channel Estimation using Processing In Memory Based on System Identification Technique

Mahdavi, Mojtaba LU orcid (2024) 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024 In Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024
Abstract

Accurate channel estimation is crucial for the design and implementation of effective equalization and beamforming techniques, contributing to the overall performance of wireless communication systems. This paper presents a novel approach for channel estimation based on an unknown system identification technique. The underlying idea is to employ the processing-in-memory (PIM) technique to implement a low-complexity adaptive unknown system identification scheme. To this end, memristive devices are used as key components, which execute essential multiplications and additions in channel estimation with minimal complexity, following Ohm's law and Kirchhoff's current law. The programmability of memristive devices provides the proposed scheme... (More)

Accurate channel estimation is crucial for the design and implementation of effective equalization and beamforming techniques, contributing to the overall performance of wireless communication systems. This paper presents a novel approach for channel estimation based on an unknown system identification technique. The underlying idea is to employ the processing-in-memory (PIM) technique to implement a low-complexity adaptive unknown system identification scheme. To this end, memristive devices are used as key components, which execute essential multiplications and additions in channel estimation with minimal complexity, following Ohm's law and Kirchhoff's current law. The programmability of memristive devices provides the proposed scheme with adaptability to diverse channel conditions.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Digital Signal Processing (DSP), Memristive Devices, Processing In Memory (PIM), System Identification, Wireless Channel Estimation, Wireless Communication Systems
host publication
Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024
series title
Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024
editor
Zaidi, Syed Ali Raza ; Ibrahimi, Khalil ; El Kamili, Mohamed ; Kobbane, Abdellatif and Aslam, Nauman
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024
conference location
Leeds, United Kingdom
conference dates
2024-07-23 - 2024-07-25
external identifiers
  • scopus:85204300242
ISBN
9798350377866
DOI
10.1109/WINCOM62286.2024.10655695
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 IEEE.
id
d0b00e75-465f-4c62-8ba9-c5e8cb51a3a8
date added to LUP
2024-12-03 14:20:57
date last changed
2025-06-04 04:53:36
@inproceedings{d0b00e75-465f-4c62-8ba9-c5e8cb51a3a8,
  abstract     = {{<p>Accurate channel estimation is crucial for the design and implementation of effective equalization and beamforming techniques, contributing to the overall performance of wireless communication systems. This paper presents a novel approach for channel estimation based on an unknown system identification technique. The underlying idea is to employ the processing-in-memory (PIM) technique to implement a low-complexity adaptive unknown system identification scheme. To this end, memristive devices are used as key components, which execute essential multiplications and additions in channel estimation with minimal complexity, following Ohm's law and Kirchhoff's current law. The programmability of memristive devices provides the proposed scheme with adaptability to diverse channel conditions.</p>}},
  author       = {{Mahdavi, Mojtaba}},
  booktitle    = {{Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024}},
  editor       = {{Zaidi, Syed Ali Raza and Ibrahimi, Khalil and El Kamili, Mohamed and Kobbane, Abdellatif and Aslam, Nauman}},
  isbn         = {{9798350377866}},
  keywords     = {{Digital Signal Processing (DSP); Memristive Devices; Processing In Memory (PIM); System Identification; Wireless Channel Estimation; Wireless Communication Systems}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Proceedings - 11th International Conference on Wireless Networks and Mobile Communications, WINCOM 2024}},
  title        = {{Channel Estimation using Processing In Memory Based on System Identification Technique}},
  url          = {{http://dx.doi.org/10.1109/WINCOM62286.2024.10655695}},
  doi          = {{10.1109/WINCOM62286.2024.10655695}},
  year         = {{2024}},
}