Blind Source Separation for ALOHA Massive Machine Type Communications

This paper studies the use of Blind Source Separation (BSS) as a replacement for Coded Random Access in diversity ALOHA massive machine-type communications. We propose a scheme for efficiently implementing BSS within the ALOHA framework, while also determining the number of active users in each slot. We experimentally evaluate the achievable performance and highlight the factors that influence the number of detectable users.