Fluid Antenna for Importance-Based Ranking (FAIR) Semantic Communications

This letter explores the applications of fluid antenna in wireless semantic communications, aiming to fill up a gap in existing research. In particular, this letter applies Fluid Antenna for Importance-based Ranking (FAIR) systems, which can reconfigure communication encoders and fluid antenna parameters dynamically based on the significance of individual words in a sentence. A reconfiguration and power optimization algorithm is proposed to enhance transmission efficiency. The system’s performance is evaluated using Word Error Rate (WER) and ROUGE metrics, demonstrating its potential to improve the performance of semantic communications, particularly in dynamic and resource-constrained environments.