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Fair Resource Allocation in UAV-based Semantic Communication System with Fluid Antenna
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In this paper, the problem of maximization of the minimum equivalent rate in a unmanned-aerial-vehicle (UAV)-based multi-user semantic communication system is investigated. In the considered model, a multi-antenna UAV employs semantic extraction techniques to compress the data ready to be sent to the users, which are equipped with fluid antennas. Our aim is to jointly optimize the trajectory of the UAV, the transmit beamforming and the semantic compression rate at the UAV, as well as the selection of activated ports in fluid antenna system (FAS), to maximize the minimum equivalent transmission rate among all user. An alternating algorithm is designed to solve the problem. Simulation results validate the effectiveness of the proposed algorithm.
Forward citations
Cited by 2 Pith papers
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Reconfigurable Antennas for Next-generation Mobile Communication Networks: A Comprehensive Survey and Tutorial
A survey and tutorial on reconfigurable antennas for 6G networks covering fluid, movable, pinching, and holographic antennas with channel modeling, performance analysis, resource allocation, and open challenges.
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A Comprehensive Survey on Semantic Communication in Non-Terrestrial Networks: Architectures, Methodologies, and Challenges
A literature survey that pairs NTN limitations with semantic communication properties, organizes work by platform and methodology, and lists open problems for integrated SAGIN systems.
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