Signal Processing Techniques for 6G

• Published in: Journal of signal processing systems Vol. 95; no. 4; pp. 435 - 457
• Main Authors: Mucchi, Lorenzo, Shahabuddin, Shahriar, Albreem, Mahmoud A. M., Abdallah, Saeed, Caputo, Stefano, Panayirci, Erdal, Juntti, Markku
• Format: Journal Article
• Language: English
• Published: New York Springer US 2023; Springer Nature B.V
• Subjects: 6G mobile communication; Circuits and Systems; Computer Imaging; Electrical Engineering; Engineering; Image Processing and Computer Vision; Machine learning; Nonorthogonal multiple access; Pattern Recognition; Pattern Recognition and Graphics; Signal processing; Signal,Image and Speech Processing; Vision; Wireless communications; Signal processing; 6G; MIMO; Optical wireless communications; Internet of bio nano things
• ISSN: 1939-8018; 1939-8115
• DOI: 10.1007/s11265-022-01827-7

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.