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Energy Efficiency Maximization For STAR-RIS and UAV-Assisted IUA A Multi-Agent DRL Approach by Huân Vũ is a document available to read on EtoBox.

This article proposes a multi-agent deep reinforcement learning (DRL) algorithm named MINT to maximize energy efficiency in a system involving multiple unmanned aerial vehicles (UAVs) and simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS). The MINT algorithm addresses challenges such as energy constraints and complex scheduling of UAV trajectories and STAR-RIS coefficients, outperforming existing methods in terms of energy efficiency and data transmission performance.

Author
Huân Vũ
Language
EN