Performance Analysis and Deep Learning Design of Underlay Cognitive NOMA-Based CDRT Networks With Imperfect SIC and Co-Channel Interference

In this paper, we investigate an underlay cognitive non-orthogonal multiple access (NOMA)-based coordinated direct and relay transmission network with imperfect successive interference cancellation, imperfect channel state information, and co-channel interference caused by a multi-antenna primary tr...

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Veröffentlicht in:	IEEE transactions on communications 2021-12, Vol.69 (12), p.8159-8174
Hauptverfasser:	Vu, Thai-Hoc, Nguyen, Toan-Van, da Costa, Daniel Benevides, Kim, Sunghwan
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Cochannel interference cognitive radio (CR) Configuration management Coordinated direct and relay transmission (CDRT) Deep learning Infinity Interchannel interference Machine learning NOMA non-orthogonal multiple access (NOMA) Nonorthogonal multiple access outage probability (OP) Predictions Relay relay selection Relays Resource management Silicon carbide system throughput Throughput
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