Pinching-antenna systems achieve lower transmit power than fixed-antenna systems via joint optimization of positions and beamforming under probabilistic LoS blockage, with convexity proven for single-PA cases and efficient algorithms for multiple PAs.
Modeling and beamforming optimization for pinching-antenna systems
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Develops two-stage optimization for single-user and alternating optimization for multi-user pinching-antenna systems, proving position independence from beamforming and algorithm convergence while showing SE-EE gains and robustness.
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.
A hierarchical user scheduling and joint optimization framework is developed for sum rate maximization in multi-waveguide PASS, with numerical results showing gains over random pairing and maximum ratio transmission.
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.
The paper provides a comprehensive review and categorization of pinching antenna systems (PASS) for objectives including network coverage, data rate, secure transmission, sensing, integrated sensing and communication, and energy efficiency.
citing papers explorer
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Power Minimization in Pinching-Antenna Systems under Probabilistic LoS Blockage
Pinching-antenna systems achieve lower transmit power than fixed-antenna systems via joint optimization of positions and beamforming under probabilistic LoS blockage, with convexity proven for single-PA cases and efficient algorithms for multiple PAs.
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Spectral and Energy Efficiency Tradeoff for Pinching-Antenna Systems
Develops two-stage optimization for single-user and alternating optimization for multi-user pinching-antenna systems, proving position independence from beamforming and algorithm convergence while showing SE-EE gains and robustness.
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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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Rate Maximization for Multi-Waveguide PASS: A Hierarchical User Scheduling and Joint Optimization Framework
A hierarchical user scheduling and joint optimization framework is developed for sum rate maximization in multi-waveguide PASS, with numerical results showing gains over random pairing and maximum ratio transmission.
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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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Pinching Antenna Systems (PASS): Enabling Reconfigurable and Controllable Wireless Channels -- A Comprehensive Survey
The paper provides a comprehensive review and categorization of pinching antenna systems (PASS) for objectives including network coverage, data rate, secure transmission, sensing, integrated sensing and communication, and energy efficiency.