A DDPG-based reinforcement learning framework is proposed to jointly optimize beamforming and pinching antenna positions for maximizing average sum rate in mobile-user pinching antenna systems under QoS constraints.
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A novel RIS-user selection strategy based on LoS connectivity improves spectral efficiency in RIS-assisted cell-free massive MIMO networks operating in FR1 and FR3 bands compared to random assignments.
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Joint Beamforming and Antenna Placement Optimization in Pinching Antenna Systems with User Mobility: A Deep Reinforcement Learning Approach
A DDPG-based reinforcement learning framework is proposed to jointly optimize beamforming and pinching antenna positions for maximizing average sum rate in mobile-user pinching antenna systems under QoS constraints.
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RIS-Assisted Cell-Free Massive MIMO: RIS-MS Selection in FR1 and FR3
A novel RIS-user selection strategy based on LoS connectivity improves spectral efficiency in RIS-assisted cell-free massive MIMO networks operating in FR1 and FR3 bands compared to random assignments.