The proposed pinching antenna system-assisted hybrid AirComp-NOMA design with joint optimization of precoding and antenna placement yields significant performance improvements in hybrid rate.
Federated learning via over-the-air computation
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Fluid antennas in hybrid NOMA-AirFL networks improve hybrid rate performance under imperfect CSI and SIC by formulating a robust optimization solved via LSTM-DDPG.
A RIS-NOMA-AirFL system is optimized via LSTM-DDPG to reduce learning optimality gap despite co-channel interference and imperfect CSI.
citing papers explorer
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Pinching Antenna System-Assisted Hybrid AirComp-NOMA Uplink: Joint Precoding and Antenna Placement Optimization
The proposed pinching antenna system-assisted hybrid AirComp-NOMA design with joint optimization of precoding and antenna placement yields significant performance improvements in hybrid rate.
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Fluid Antenna-Enabled Hybrid NOMA and AirFL Networks Under Imperfect CSI and SIC
Fluid antennas in hybrid NOMA-AirFL networks improve hybrid rate performance under imperfect CSI and SIC by formulating a robust optimization solved via LSTM-DDPG.
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Robust Resource Allocation in RIS-Assisted Wireless Networks Integrating NOMA and Over-the-Air Federated Learning
A RIS-NOMA-AirFL system is optimized via LSTM-DDPG to reduce learning optimality gap despite co-channel interference and imperfect CSI.