Semi-blind PARAFAC and Nested PARAFAC2 receivers enable joint channel and symbol estimation in RIS-aided fluid antenna systems with significantly reduced training overhead.
Fluid antenna multiple access
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
A greedy algorithm with swap and a transformer model trained by imitation and reinforcement learning achieve higher spectral efficiency than prior methods for port selection in fluid antenna multiple access at practical complexity.
Proposes SEMRA system integrating spatial and EM antenna reconfiguration for tri-domain precoding optimization and a movement-aided CE scheme that improves eCSI accuracy under fixed pilot overhead in multiuser OFDM.
MAGRPO accelerates MARL training for fluid antenna-assisted wireless networks by replacing the critic with group relative advantage estimation, cutting training time 30-40% while matching MAPPO sum-rate performance.
citing papers explorer
-
Semi-Blind Receivers for RIS-Aided Fluid Antenna Systems
Semi-blind PARAFAC and Nested PARAFAC2 receivers enable joint channel and symbol estimation in RIS-aided fluid antenna systems with significantly reduced training overhead.
-
Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access
A greedy algorithm with swap and a transformer model trained by imitation and reinforcement learning achieve higher spectral efficiency than prior methods for port selection in fluid antenna multiple access at practical complexity.
-
Tri-Domain Multiuser MIMO Precoding Optimization and Channel Estimation with Spatial-EM Reconfigurable Antenna
Proposes SEMRA system integrating spatial and EM antenna reconfiguration for tri-domain precoding optimization and a movement-aided CE scheme that improves eCSI accuracy under fixed pilot overhead in multiuser OFDM.
-
MAGRPO: Accelerated MARL Training for Fluid Antenna-Assisted Wireless Network Optimization
MAGRPO accelerates MARL training for fluid antenna-assisted wireless networks by replacing the critic with group relative advantage estimation, cutting training time 30-40% while matching MAPPO sum-rate performance.