Tensor-Based Modulation for Unsourced Massive Random Access

06/11/2020
by   Alexis Decurninge, et al.
0

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 decoding. The proposed signaling scheme is designed for the block fading channel and multiple-antenna settings, and is shown to perform well in comparison to state-of-the-art unsourced approaches.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset