A three-stage GNN jointly optimizes PA placement, RIS phases, beamforming and associations to maximize sum rate and energy efficiency in multi-BS multi-RIS pinching-antenna systems.
GPASS: Deep learning for beamforming in pinching-antenna systems (PASS)
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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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Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach
A three-stage GNN jointly optimizes PA placement, RIS phases, beamforming and associations to maximize sum rate and energy efficiency in multi-BS multi-RIS pinching-antenna systems.
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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.