Deep learning-based Collision-aware Multi-user Detection for Grant-free Sparse Code Multiple Access Systems

In grant-free sparse code multiple access (SCMA) systems, SCMA codebooks (CBs) are used for efficient grant-free random access. However, CB collisions can occur when multiple active users select the same CB, degrading the performance of multi-user detection (MUD) at the base station (BS). The existi...

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Bibliographic Details

Published in:	2023 28th Asia Pacific Conference on Communications (APCC) pp. 126 - 131
Main Authors:	Han, Minsig, Demissu, Metasebia G., Abebe, Ameha T., Kang, Chung G.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 19.11.2023
Subjects:	codebook collision Codes Deep learning Grant-free random access multi-user detection Multiuser detection Receivers Simulation sparse code multiple access Training Training data
Online Access:	Get full text
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