1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
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…
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.…
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…
Deep Learning for Beamforming in Multi-User Continuous Aperture Array (CAPA) Systems
Jia Guo, Yuanwei Liu, Hyundong Shin +1
A DeepCAPA (Deep Learning for Continuous Aperture Array (CAPA)) framework is proposed to learn beamforming in CAPA systems. The beamforming optimization problem is firstly formulat…