most citedA Novel Deep Neural Network Based Approach for Sparse Code Multiple Access

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2019★ 2 cited

A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access

Jinzhi Lin, Shengzhong Feng, Zhile Yang +2

Sparse code multiple access (SCMA) has been one of non-orthogonal multiple access (NOMA) schemes aiming to support high spectral efficiency and ubiquitous access requirements for 5…