Rate Maximization for Fluid Antenna System Assisted Semantic Communication
Abstract
In this paper, we investigate the problem of rate maximization in a fluid antenna system (FAS) assisted semantic communication system. In the considered model, a base station (BS) with multiple static antennas employs semantic extraction techniques to compress the data ready to be sent to a user. The user equipped with a fluid antenna is located in the near field coverage region of the BS. Our aim is to jointly optimize the transmit beamforming and the semantic compression rate at the BS, as well as the selection of activated ports in FAS, to maximize the equivalent transmission ratio under a specific power budget. We design an alternating algorithm to solve the problem, where we obtain the optimal semantic compression ratio is in closed form at each step. Simulation results validate the effectiveness of the proposed algorithm.
Fields of Study & Subjects
Underwater Vehicles and Communication Systems
Wireless Signal Modulation Classification
Advanced Wireless Communication Technologies
Publication details
- Journal / source
- IEEE Transactions on Vehicular Technology
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 75
- Issue
- 7
- Pages
- 15329–15333
- Publication date
- 16 February 2026
- Language
- EN