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most citedPinching-Antenna Systems (PASS): A Tutorial

33 citations · 65 across the 22 of their papers we have counts for

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17 papers · 1 filter

eess.SP2026

Discrete Coupling and Localized Motion for Pinching-Antenna Systems (PASS)

Jie Jiang, Xiaoxia Xu, Chan-Tong Lam +2

The practical implementation of pinching-antenna systems (PASS) is challenging due to hardware limitations in large-scale antenna movement and continuous radiation power adjustment…

eess.SP2026

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,…

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.SP2025

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…

eess.SP2025

Revealing computation-communication trade-off in Segmented Pinching Antenna System (PASS)

Deqiao Gan, Xiaoxia Xu, Xiaohu Ge +1

A joint communication and computation (JCC) framework using segmented pinching antenna system (PASS) is proposed, where both the communication bit streams and computation data are…

eess.SP2025

Enabling Wireless Power Transfer (WPT) in Pinching Antenna Systems (PASS)

Deqiao Gan, Xiaoxia Xu, Xiaohu Ge +2

A novel pinching antenna system (PASS) enabled wireless power transfer (WPT) framework is proposed, where energy harvesting receivers (EHRs) and information decoding receivers (IDR…

eess.SP2025

LLM Enabled Beam Training for Pinching Antenna Systems (PASS)

Deqiao Gan, Xiaoxia Xu, Xiaohu Ge +1

To enable intelligent beam training, a large language model (LLM)-enabled beam training framework is proposed for the pinching antenna system (PASS) in downlink multi-user multiple…

eess.SP2025★ 33 cited

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★ 15 cited

Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design

Xiaoxia Xu, Xidong Mu, Zhaolin Wang +2

Pinching-antenna systems (PASS) improve wireless links by configuring the locations of activated pinching antennas along dielectric waveguides, namely pinching beamforming. In this…

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★ 6 cited

Joint Transmit and Pinching Beamforming for Pinching Antenna Systems (PASS): Optimization-Based or Learning-Based?

Xiaoxia Xu, Xidong Mu, Yuanwei Liu +1

A novel pinching antenna system (PASS)-enabled downlink multi-user multiple-input single-output (MISO) framework is proposed. PASS consists of multiple waveguides spanning over tho…

eess.SP2025★ 4 cited

Pinching-Antenna Systems (PASS): Architecture Designs, Opportunities, and Outlook

Yuanwei Liu, Zhaolin Wang, Xidong Mu +3

Flexible-antenna systems have recently attracted significant research attention due to their potential to intelligently reconfigure wireless channels. However, the current flexible…

eess.SP2024

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…

eess.SP2024

Mobile Edge Generation-Enabled Digital Twin: Architecture Design and Research Opportunities

Xiaoxia Xu, Ruikang Zhong, Xidong Mu +2

A novel paradigm of mobile edge generation (MEG)-enabled digital twin (DT) is proposed, which enables distributed on-device generation at mobile edge networks for real-time DT appl…

eess.SP2022

Distributed Auto-Learning GNN for Multi-Cell Cluster-Free NOMA Communications

Xiaoxia Xu, Yuanwei Liu, Qimei Chen +2

A multi-cell cluster-free NOMA framework is proposed, where both intra-cell and inter-cell interference are jointly mitigated via flexible cluster-free successive interference canc…

eess.SP2021

Millimeter-Wave NR-U and WiGig Coexistence: Joint User Grouping, Beam Coordination and Power Control

Xiaoxia Xu, Qimei Chen, Hao Jiang +1

Millimeter wave (mmWave) communication is a promising New Radio in Unlicensed (NR-U) technology to meet with the ever-increasing data rate and connectivity requirements in future w…

eess.SP2021★ 2 cited

Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks

Xiaoxia Xu, Qimei Chen, Xidong Mu +2

With the accelerated development of immersive applications and the explosive increment of internet-of-things (IoT) terminals, 6G would introduce terahertz (THz) massive multiple-in…