University of Oulu

H. Issa, M. Shehab and H. Alves, "Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink," 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Gothenburg, Sweden, 2023, pp. 84-89, doi: 10.1109/EuCNC/6GSummit58263.2023.10188320

Meta-learning based few pilots demodulation and interference cancellation for NOMA uplink

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Author: Issa, Hebatalla1; Shehab, Mohammad1; Alves, Hirley1
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.6 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2023
Publish Date: 2023-10-04


Non-Orthogonal Multiple Access (NOMA) is at the heart of a paradigm shift towards non-orthogonal communication due to its potential to scale well in massive deployments. Nevertheless, the overhead of channel estimation remains a key challenge in such scenarios. This paper introduces a data-driven, meta-learning-aided NOMA uplink model that minimizes the channel estimation overhead and does not require perfect channel knowledge. Unlike conventional deep learning successive interference cancellation (SICNet), Meta-Learning aided SIC (meta-SICNet) is able to share experience across different devices, facilitating learning for new incoming devices while reducing training overhead. Our results confirm that meta-SICNet outperforms classical SIC and conventional SICNet as it can achieve a lower symbol error rate with fewer pilots.

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Series: European Conference on Networks and Communications
ISSN: 2475-6490
ISSN-E: 2575-4912
ISSN-L: 2475-6490
ISBN: 979-8-3503-1102-0
ISBN Print: 979-8-3503-1103-7
Pages: 84 - 89
DOI: 10.1109/EuCNC/6GSummit58263.2023.10188320
Host publication: 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
Conference: Joint European Conference on Networks and Communications & 6G Summit
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is partially supported by the Academy of Finland, 6G Flagship program (Grant no. 346208) and FIREMAN (Grant no. 326301), and the European Commission through the Horizon Europe project Hexa-X (Grant Agreement no. 101015956).
EU Grant Number: (101015956) Hexa-X - A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds
Academy of Finland Grant Number: 346208
Detailed Information: 346208 (Academy of Finland Funding decision)
326301 (Academy of Finland Funding decision)
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