Deep Learning Enabled Slow Fluid Antenna Multiple Access

The increasing interest of fluid antenna systems is reinforced by an unprecedented way of achieving multiple access, by exploiting moments of deep fades in space. This phenomenon, referred to as fluid antenna multiple access (FAMA), allows the fluid antenna at each user to be switched to a location...

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Veröffentlicht in:	IEEE communications letters 2023-03, Vol.27 (3), p.1-1
Hauptverfasser:	Waqar, Noor, Wong, Kai-Kit, Tong, Kin-Fai, Sharples, Adrian, Zhang, Yangyang
Format:	Artikel
Sprache:	eng
Schlagworte:	Antennas Channel estimation Complexity Correlation Deep learning Fluid antenna Interference Long short term memory Multiple access Multiplexing Multiuser communications Signal processing Signal reception Signal to noise ratio Slow FAMA Switches
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