Joint User and Data Detection in Grant-Free NOMA With Attention-Based BiLSTM Network

Joint User and Data Detection in Grant-Free NOMA With Attention-Based BiLSTM Network

We consider the multi-user detection (MUD) problem in uplink grant-free non-orthogonal multiple access (NOMA), where the access point has to identify the total number and correct identity of the active Internet of Things (IoT) devices and decode their transmitted data. We assume that IoT devices use...

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Bibliographic Details
Main Authors: Saud Khan, Salman Durrani, Muhammad Basit Shahab, Sarah J. Johnson, Seyit Camtepe
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Non-orthogonal multiple access
grant-free
deep learning
multi-user detection
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/10178037/

Internet

https://ieeexplore.ieee.org/document/10178037/

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