Code Random Access and Blind Source Separation for Massive Machine Type Communications

This paper investigates the use of blind source separation (BSS) in conjunction with coded random access (CRA) for diversity ALOHA in massive machine-type communications. A scheme for effectively integrating BSS into a CRA ALOHA framework to resolve user conflicts is presented. The achievable performance is analyzed experimentally, and the factors influencing the number of detectable users are highlighted.

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Publication Details

Published
2025-09-08
DOI
https://doi.org/10.23919/eusipco63237.2025.11226109
Primary Topic
Blind Source Separation Techniques
Type
article
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article

Code Random Access and Blind Source Separation for Massive Machine Type Communications

Enrico Paolini, Alberto Carini, Lorenzo Valentini, F. Babich et al.
Blind Source Separation Techniques
article

Code Random Access and Blind Source Separation for Massive Machine Type Communications

Enrico Paolini, Alberto Carini, Lorenzo Valentini, F. Babich, Michele Godeas
article en

Abstract

This paper investigates the use of blind source separation (BSS) in conjunction with coded random access (CRA) for diversity ALOHA in massive machine-type communications. A scheme for effectively integrating BSS into a CRA ALOHA framework to resolve user conflicts is presented. The achievable performance is analyzed experimentally, and the factors influencing the number of detectable users are highlighted.

University of Trieste (IT), University of Bologna (IT)
Openalex Percentile: Top 53%
Blind Source Separation Techniques
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Code Random Access and Blind Source Separation for Massive Machine Type Communications — Enrico Paolini, Alberto Carini, et al. · (2025) | TGRS Research Map | TGRS