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.
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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.