Deep Learning-Based User Activity Detection and Channel Estimation in Grant-Free NOMA

In the uplink machine-type communication (MTC) system, a combination of grant-free transmission and non-orthogonal multiple access (NOMA) emerges to reduce the control overhead and transmission latency. In the grant-free scenario, the base station needs to identify the active devices and estimate th...

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Veröffentlicht in:	IEEE transactions on wireless communications 2023-04, Vol.22 (4), p.2202-2214
Hauptverfasser:	Yu, Hanxiao, Fei, Zesong, Zheng, Zhong, Ye, Neng, Han, Zhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Channel estimation Communications systems Deep learning Estimation Grant free Machine learning Matching pursuit algorithms Network latency Neural networks NOMA non-orthogonal multiple access Nonorthogonal multiple access Uplink user activity detection Wireless communication
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