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Terahertz-Band MIMO-NOMA: Adaptive Superposition Coding and Subspace Detection
[article]
2021
arXiv
pre-print
We consider the problem of efficient ultra-massive multiple-input multiple-output (UM-MIMO) data detection in terahertz (THz)-band non-orthogonal multiple access (NOMA) systems. We argue that the most common THz NOMA configuration is power-domain superposition coding over quasi-optical doubly-massive MIMO channels. We propose spatial tuning techniques that modify antenna subarray arrangements to enhance channel conditions. Towards recovering the superposed data at the receiver side, we propose
arXiv:2103.02348v1
fatcat:5lj5u7gvynctxg6mdnodcdefma