A Novel Image-Classification-Based Decoding Strategy for Downlink Sparse Code Multiple Access Systems

A Low-Complexity Detector for Uplink SCMA by Exploiting Dynamical Superior User Removal Algorithm

(2022) Shufeng Li et al.   Electronics

A Knowledge-Based Deep Learning Detection Scheme for Downlink SCMA Systems

(2022) Yu Zheng et al.   IEEE Wireless Communications Letters

SCMA Codebook Design Based on Decomposition of the Superposed Constellation for AWGN Channel

(2021) Zhaoyang Hou et al.   Electronics

A novel deep neural network based approach for sparse code multiple access

(2019) Jinzhi Lin et al.   NEUROCOMPUTING

Deep Learning-Aided SCMA

(2018) Minhoe Kim et al.   IEEE COMMUNICATIONS LETTERS

Deep Learning for An Effective Non-Orthogonal Multiple Access Scheme

(2018) Guan Gui et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Design and Analysis of SCMA Codebook Based on Star-QAM Signaling Constellations

(2018) Lisu Yu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Low-Complexity Detector in Sparse Code Multiple Access Systems

(2016) Yang Du et al.   IEEE COMMUNICATIONS LETTERS

Shuffled Multiuser Detection Schemes for Uplink Sparse Code Multiple Access Systems

(2016) Yang Du et al.   IEEE COMMUNICATIONS LETTERS

Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends

(2015) Linglong Dai et al.   IEEE COMMUNICATIONS MAGAZINE

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION