The paper claims a max-min fair rate optimization for fluid antenna relay systems, but its reformulation actually maximizes minimum signal power, not minimum rate.
Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
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abstract
In this letter, we study the energy efficiency maximization problem for a fluid antenna system (FAS) in near field communications. Specifically, we consider a point-to-point near-field system where the base station (BS) transmitter has multiple fixed-position antennas and the user receives the signals with multiple fluid antennas. Our objective is to jointly optimize the transmit beamforming of the BS and the fluid antenna positions at the user for maximizing the energy efficiency. Our scheme is based on an alternating optimization algorithm that iteratively solves the beamforming and antenna position subproblems. Our simulation results validate the performance improvement of the proposed algorithm and confirm the effectiveness of FAS.
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Fair Rate Maximization for Fluid Antenna Relay (FAR)-assisted Multi-user MISO Communications
The paper claims a max-min fair rate optimization for fluid antenna relay systems, but its reformulation actually maximizes minimum signal power, not minimum rate.