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.
Code Random Access and Blind Source Separation for Massive Machine Type Communications / Godeas, M.; Carini, A.; Babich, F.; Valentini, Lorenzo; Paolini, E.. - (2025), pp. 2047-2051. ( 33rd European Signal Processing Conference, EUSIPCO 2025 ita 2025) [10.23919/EUSIPCO63237.2025.11226109].
Code Random Access and Blind Source Separation for Massive Machine Type Communications
Godeas M.;Carini A.;Babich F.;
2025-01-01
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.Pubblicazioni consigliate
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