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From the 1 of 6 linked papers with an AI index.

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6 papers

eess.SP2026

Implicit Neural Representation for Multiuser Continuous Aperture Array Beamforming

Shiyong Chen, Shengqian Han, Jia Guo

The paper introduces a functional WMMSE algorithm and an implicit neural representation (BeamINR) based on a graph neural network to design continuous beamforming functions for mul…

eess.SP2026

A Survey of Pinching-Antenna Systems (PASS)

Yuanwei Liu, Hao Jiang, Xu Gan +10

The pinching-antenna system (PASS), recently proposed as a flexible-antenna technology, has been regarded as a promising solution for several challenges in next-generation wireless…

eess.SP2026

Pinching-Antenna Systems (PASS): A Tutorial

Yuanwei Liu, Hao Jiang, Xiaoxia Xu +8

Pinching antenna systems (PASS) present a breakthrough among the flexible-antenna technologies, and distinguish themselves by facilitating large-scale antenna reconfiguration, line…

eess.SP2025

Learning Beamforming for Pinching Antenna System-Enabled ISAC in Low-Altitude Wireless Networks

Jia Guo, Yuanwei Liu, Arumugam Nallanathan

This work investigates the joint learning of pinching antenna (PA) positions and transmit beamforming for PA-aided integrated sensing and communication (ISAC) in the low-altitude w…

eess.SP2025

Diffusion Model for Multiple Antenna Communications

Jia Guo, Xiaoxia Xu, Yuanwei Liu +1

The potential of applying diffusion models (DMs) for multiple antenna communications is discussed. A unified framework of applying DM for multiple antenna tasks is first proposed.…

eess.SP2025

GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Jia Guo, Yuanwei Liu, Arumugam Nallanathan

A novel GPASS architecture is proposed for jointly learning pinching beamforming and transmit beamforming in pinching antenna systems (PASS). The GPASS is with a staged architectur…