University of Oulu

Mucchi, L., Shahabuddin, S., Albreem, M.A.M. et al. Signal Processing Techniques for 6G. J Sign Process Syst 95, 435–457 (2023).

Signal processing techniques for 6G

Saved in:
Author: Mucchi, Lorenzo1; Shahabuddin, Shahriar2,3; Albreem, Mahmoud A. M.4;
Organizations: 1Dept. of Information Engineering, University of Florence, Florence, 50139, Italy
2Mobile Networks, Nokia, Dallas, 75019, TX, USA
3Centre for Wireless Communications, University of Oulu, Oulu, 90014, Finland
4Dept. of Electrical Engineering, University of Sharjah, Sharjah, 27272, UAE
5Dept. of Electrical and Electronics Engineering, Kadir Has Univ., Istanbul, 34083, Turkey
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.4 MB)
Persistent link:
Language: English
Published: Springer Nature, 2023
Publish Date: 2023-05-23


6G networks have the burden to provide not only higher performance compared to 5G, but also to enable new service domains as well as to open the door over a new paradigm of mobile communication. This paper presents an overview on the role and key challenges of signal processing (SP) in future 6G systems and networks from the conditioning of the signal at transmission to MIMO precoding and detection, from channel coding to channel estimation, from multicarrier and non-orthogonal multiple access (NOMA) to optical wireless communications and physical layer security (PLS). We describe also the core future research challenges on technologies including machine learning based 6G design, integrated communications and sensing (ISAC), and the internet of bio-nano-things.

see all

Series: Journal of signal processing systems for signal image and video technology
ISSN: 1939-8018
ISSN-E: 1939-8115
ISSN-L: 1939-8018
Volume: 95
Issue: 4
Pages: 435 - 457
DOI: 10.1007/s11265-022-01827-7
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: Open access funding provided by Università degli Studi di Firenze within the CRUI-CARE Agreement.
Copyright information: © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit