Tensor-Based Modulation for Unsourced Massive Random Access
Tensor-Based Modulation for Unsourced Massive Random Access
We introduce a modulation for unsourced massive random access whereby the transmitted symbols are rank-1 tensors constructed from Grassmannian sub-constellations. The use of a low-rank tensor structure, together with tensor decomposition in order to separate the users at the receiver, allows a convenient uncoupling between multi-user separation and single-user demapping. …