33 citations · 35 across the 17 of their papers we have counts for
18 papers
Exploiting Segmented Waveguide-Enabled Pinching-Antenna Systems (SWANs) for Uplink Tri-Hybrid Beamforming
Hao Jiang, Chongjun Ouyang, Zhaolin Wang +4
A segmented waveguide-enabled pinching-antenna system (SWAN)-based tri-hybrid beamforming architecture is proposed for uplink multi-user MIMO communications, which jointly optimize…
Transmit Pinching-Antenna Systems (T-PASS): Connecting Wired to Wireless Communications
Deqiao Gan, Chongjun Ouyang, Yuanwei Liu +1
A transmit pinching-antenna system (T-PASS) framework is proposed, in which a single pinched waveguide is employed to jointly serve one wired user equipment (UE) and multiple wirel…
Multi-Mode Pinching Antenna Systems Enabled Multi-User Communications
Xiaoxia Xu, Xidong Mu, Yuanwei Liu +1
This paper proposes a novel multi-mode pinching-antenna systems (PASS) framework. Multiple data streams can be transmitted within a single waveguide through multiple guided modes,…
User Localization and Channel Estimation for Pinching-Antenna Systems (PASS)
Xiaoxia Xu, Xidong Mu, Yuanwei Liu +2
This letter proposes a novel user localization and channel estimation framework for pinching-antenna systems (PASS), where pinching antennas are grouped into subarrays on each wave…
Pinching-Antenna Assisted Sensing: A Bayesian Cramér-Rao Bound Perspective
Hao Jiang, Chongjun Ouyang, Zhaolin Wang +3
The fundamental sensing limit of pinching-antenna systems (PASS) is studied from a Bayesian Cramér-Rao bound (BCRB) perspective. Compared to conventional CRB, BCRB is independent o…
Pinching-Antenna Systems (PASS)-based Indoor Positioning
Yaoyu Zhang, Xin Sun, Jun Wang +4
Pinching antenna (PA), a flexible waveguide integrated with dielectric particles, intelligently reconstructs line-of-sight channels. Utilizing its geometric deterministic model and…
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…
ASTARS empowered Satellite Positioning Approach for Urban Canyons and Indoor Environments
Yu Zhang, Xin Sun, Tianwei Hou +4
To mitigate the loss of satellite navigation signals in urban canyons and indoor environments, we propose an active simultaneous transmitting and reflecting reconfigurable intellig…
Unsupervised Learning for AoD Estimation in MISO Downlink LoS Transmissions
Jiaying Li, Yuanwei Liu, Hong Xing
With the emergence of simultaneous localization and communication (SLAC), it becomes more and more attractive to perform angle of departure (AoD) estimation at the receiving Intern…
On the Performance of Uplink Pinching Antenna Systems (PASS)
Tianwei Hou, Yuanwei Liu, Arumugam Nallanathan
Pinching antenna (PA) is a flexible antenna composed of a waveguide and multiple dielectric particles, which is capable of reconfiguring wireless channels intelligently in line-of-…
Beam Training for Pinching-Antenna Systems (PASS)
Suyu Lv, Yuanwei Liu, Zhiguo Ding
This article investigates the beam training design problems for pinching-antenna systems (PASS), where single-waveguide-single-user (SWSU), single-waveguide-multi-user (SWMU) and m…
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…
Unveiling the Potential of NOMA: A Journey to Next Generation Multiple Access
Adeel Ahmed, Wang Xingfu, Ammar Hawbani +8
Revolutionary sixth-generation wireless communications technologies and applications, notably digital twin networks (DTN), connected autonomous vehicles (CAVs), space-air-ground in…
Cramér-Rao Bound Optimization for Near-Field Sensing with Continuous-Aperture Arrays
Hao Jiang, Zhaolin Wang, Yuanwei Liu +1
A Cramér-Rao bound (CRB) optimization framework for near-field sensing (NISE) with continuous-aperture arrays (CAPAs) is proposed. In contrast to conventional spatially discrete ar…
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…
Generative Artificial Intelligence (GAI) for Mobile Communications: A Diffusion Model Perspective
Xiaoxia Xu, Xidong Mu, Yuanwei Liu +3
This article targets at unlocking the potentials of a class of prominent generative artificial intelligence (GAI) method, namely diffusion model (DM), for mobile communications. Fi…
Multi-User Continuous-Aperture Array Communications: How to Learn Current Distribution?
Jia Guo, Yuanwei Liu, Arumugam Nallanathan
The continuous aperture array (CAPA) can provide higher degree-of-freedom and spatial resolution than the spatially discrete array (SDPA), where optimizing multi-user current distr…