2 papers
eess.SP2026
Variational Bayesian Tensor Decomposition With Discrete Mixture Prior for Unsourced Random Access
Ala Baccar, Alexis Decurninge, Alberto Rech +3
Tensor-based modulation (TBM) schemes are a promising approach for unsourced random access (URA), where user separation relies on decomposing the received signal tensor via the can…
eess.SP2026
Tensor-based Random Access for Ambient IoT Contention Resolution
Alberto Rech, Alexis Decurninge, Ala Baccar +1
Ambient Internet of Things (A-IoT) deployments impose stringent hardware constraints, including low-order modulations and simple transceiver architectures. We propose a tensor-base…