AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations

With the rapidly increasing number of bandwidth-intensive terminals capable of intelligent computing and communication, such as smart devices equipped with shallow neural network (NN) models, the complexity of multiple access (MA) for these intelligent terminals is increasing due to the dynamic netw...

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Veröffentlicht in:	Proceedings of the IEEE 2024-01, Vol.112 (9), p.1264-1302
Hauptverfasser:	Cao, Xuelin, Yang, Bo, Wang, Kaining, Li, Xinghua, Yu, Zhiwen, Yuen, Chau, Zhang, Yan, Han, Zhu
Format:	Artikel
Sprache:	eng
Schlagworte:	6G mobile communication Algorithms Artificial intelligence Artificial intelligence (AI)-empowered multiple access (MA) Complexity Complexity theory Design optimization Interference Machine learning Management methods Multiaccess communication Multiple access Multisensor systems Network latency Neural networks NOMA OFDM Optimization protocol design and optimization Protocols Radio spectrum management Resource allocation Resource management spectrum sensing Wireless communication
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