output
19982026
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations

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168 papers · 1 filter

eess.SP2026

Holographic MIMO-assisted Multiuser Transmission with Electromagnetic Exposure Constraints

Yilin Yang, Mengyu Qian, Ahmed Elzanaty +1

Holographic multiple-input multiple-output (HMIMO) has emerged as a promising technology for future wireless systems by enabling continuous electromagnetic (EM) field control over…

eess.SP2026

Channel Charting With Physical Channel Fingerprints For Massive MIMO-OFDM Channel Acquisition

Jinke Tang, Xiqi Gao, Li You +2

The advancement of 6G mobile communication and positioning technologies has amplified the significance of location-aware tools, such as location-indexed channel fingerprints (CFs)…

eess.SP2026

RNet: 2D Deep Residual Learning with Height Embedding for 3D Radio Map Estimation

Huiting Rao, Junyuan Wang, Huiling Zhu +1

Acquiring channel knowledge is required by many applications. For instance, handover in cellular networks is mainly decided based on the knowledge of pathloss. In contrast to tradi…

eess.SP2026★ 5 cited

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model

Tianrun Qi, Cheng-Xiang Wang, Chen Huang +4

In the sixth generation (6G) wireless communication networks, the device density, antenna number, and the complexity of communication scenarios will significantly increase, which b…

eess.SP2025★ 9 cited

Enhancing Physical Layer Security in MIMO Systems Assisted by Beyond-Diagonal Reconfigurable Intelligent Surfaces

Weijie Xiong, Jingran Lin, Cunhua Pan +2

Reconfigurable intelligent surfaces (RISs) hold significant promise for enhancing physical layer security (PLS). However, conventional RISs are typically modeled using diagonal sca…

eess.SP2025★ 3 cited

Massive MIMO-OFDM Channel Acquisition with Multi-group Adjustable Phase Shift Pilots

Yu Zhao, Li You, Jinke Tang +4

Massive multiple-input multiple-output - orthogonal frequency division multiplexing (MIMO-OFDM) systems face the challenge of high channel acquisition overhead while providing sign…

eess.SP2025★ 7 cited

Enabling 6G Through Multi-Domain Channel Extrapolation: Opportunities and Challenges of Generative Artificial Intelligence

Yuan Gao, Zichen Lu, Yifan Wu +5

Channel extrapolation has attracted wide attention due to its potential to acquire channel state information (CSI) with high accuracy and minimal overhead. This is becoming increas…

eess.SP2025★ 8 cited

Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead

Jun Wu, Weijie Yuan, Xiaoqi Zhang +7

Integrated sensing and communication (ISAC) has been envisioned as a foundational technology for future low-altitude wireless networks (LAWNs), enabling real-time environmental per…

eess.SP2025★ 2 cited

Enabling low-power massive MIMO with ternary ADCs for AIoT sensing

Shengheng Liu, Ningning Fu

The proliferation of networked devices and the surging demand for ubiquitous intelligence have given rise to the artificial intelligence of things (AIoT). However, the utilization…

eess.SP2025★ 4 cited

Pinching-Antenna-based Communications: Spectral Efficiency Analysis and Deployment Strategies

Mengyu Qian, Xidong Mu, Li You +1

A multiple-waveguide pinching-antenna (PA)-based multi-user communication system is investigated. With a given number of PAs, two deployment strategies are considered, namely the c…

eess.SP2025★ 2 cited

Specific Absorption Rate-Aware Multiuser MIMO Assisted by Fluid Antenna System

Yuqi Ye, Li You, Hao Xu +3

With the development of the upcoming sixth-generation (6G) wireless networks, there is a pressing need for innovative technologies capable of satisfying heightened performance indi…

eess.SP2025★ 2 cited

Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions

Weicong Chen, Jiajia Guo, Yiming Cui +2

Channel state information (CSI) is essential to unlock the potential of reconfigurable intelligent surfaces (RISs) in wireless communication systems. Since massive RIS elements are…

eess.SP2025★ 8 cited

Statistical CSI-Based Distributed Precoding Design for OFDM-Cooperative Multi-Satellite Systems

Yafei Wang, Vu Nguyen Ha, Konstantinos Ntontin +4

This paper investigates the design of distributed precoding for multi-satellite massive MIMO transmissions. We first conduct a detailed analysis of the transceiver model, in which…

eess.SP2025★ 11 cited

Near-Field Channel Estimation for XL-MIMO: A Deep Generative Model Guided by Side Information

Zhenzhou Jin, Li You, Derrick Wing Kwan Ng +2

This paper investigates the near-field (NF) channel estimation (CE) for extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Considering the pronounced NF effect…

eess.SP2025★ 3 cited

Statistical CSI Acquisition for Multi-frequency Massive MIMO Systems

Jinke Tang, Li You, Xinrui Gong +4

Multi-frequency massive multi-input multi-output (MIMO) communication is a promising strategy for both 5G and future 6G systems, ensuring reliable transmission while enhancing freq…

eess.SP2025★ 4 cited

GNN-enabled Precoding for Massive MIMO LEO Satellite Communications

Huibin Zhou, Xinrui Gong, Christos G. Tsinos +3

Low Earth Orbit (LEO) satellite communication is a critical component in the development of sixth generation (6G) networks. The integration of massive multiple-input multiple-outpu…

eess.SP2025★ 13 cited

Sensing With Random Communication Signals

Shihang Lu, Fan Liu, Yifeng Xiong +6

Communication-centric Integrated Sensing and Communication (ISAC) has been recognized as a promising methodology to implement wireless sensing functionality over existing network a…

eess.SP2025★ 11 cited

Fluid Antenna System Empowering 5G NR

Hanjiang Hong, Kai-Kit Wong, Haoyang Li +5

Fluid antenna system (FAS) is an emerging technology that uses the new form of shape- and position-reconfigurable antennas to empower the physical layer for wireless communications…

eess.SP2025★ 63 cited

Terahertz Integrated Sensing and Communication-Empowered UAVs in 6G: A Transceiver Design Perspective

Ruoyu Zhang, Wen Wu, Xiaoming Chen +2

Due to their high maneuverability, flexible deployment, and low cost, unmanned aerial vehicles (UAVs) are expected to play a pivotal role in not only communication, but also sensin…

eess.SP2025★ 5 cited

Channel Estimation and Beamforming Design for MF-RIS-Aided Communication Systems

Zaihao Pan, Wen Wang, Gaofeng Nie +2

In this letter, we study the beamforming design for channel estimation of multi-functional reconfigurable intelligent surface (MF-RIS)-aided multi-user communications that supports…

eess.SP2024★ 2 cited

Hybrid Network- and User-Centric Scalable Cell-Free Massive MIMO for Fronthaul Signaling Minimization

Phu Lai, Wei Xiang, William Damario Lukito +4

Cell-free massive multiple-input multiple-output (CFmMIMO) coordinates a great number of distributed access points (APs) with central processing units (CPUs), effectively reducing…

eess.SP2024★ 4 cited

Residual Channel Boosts Contrastive Learning for Radio Frequency Fingerprint Identification

Rui Pan, Hui Chen, Guanxiong Shen +1

In order to address the issue of limited data samples for the deployment of pre-trained models in unseen environments, this paper proposes a residual channel-based data augmentatio…

eess.SP2024★ 5 cited

Joint Beamforming for STAR-RIS in Near-Field Communications

Li Haochen, Yuanwei Liu, Xidong Mu +2

A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided near-field multiple-input multiple-output (MIMO) communication framework is propose…

eess.SP2024★ 8 cited

STAR-RIS Aided Integrated Sensing, Computing, and Communication for Internet of Robotic Things

Haochen Li, Xidong Mu, Yuanwei Liu +2

A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided integrated sensing, computing, and communication (ISCC) Internet of Robotic Things…