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

1.9k citations

Showing 2024 · eess.SPShow all

11 papers · 2 filters

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…

eess.SP2024★ 11 cited

STAR-RIS in Cognitive Radio Networks

Haochen Li, Yuanwei Liu, Xidong Mu +3

The development of sixth-generation (6G) communication technologies is confronted with the significant challenge of spectrum resource shortage. To alleviate this issue, we propose…

eess.SP2024★ 36 cited

Ubiquitous Integrated Sensing and Communications for Massive MIMO LEO Satellite Systems

Li You, Yongxiang Zhu, Xiaoyu Qiang +4

The next sixth generation (6G) networks are envisioned to integrate sensing and communications in a single system, thus greatly improving spectrum utilization and reducing hardware…

eess.SP2024★ 13 cited

Towards Unified AI Models for MU-MIMO Communications: A Tensor Equivariance Framework

Yafei Wang, Hongwei Hou, Xinping Yi +2

In this paper, we propose a unified framework based on equivariance for the design of artificial intelligence (AI)-assisted technologies in multi-user multiple-input-multiple-outpu…

eess.SP2024★ 12 cited

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios

Binggui Zhou, Xi Yang, Shaodan Ma +2

In time division duplexing (TDD) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) can be obtained from uplin…

eess.SP2024★ 4 cited

Fractional Delay Alignment Modulation for Spatially Sparse Wireless Communications

Zhiwen Zhou, Zhiqiang Xiao, Yong Zeng

Delay alignment modulation (DAM) is a novel transmission technique for wireless systems with high spatial resolution by leveraging delay compensation and path-based beamforming, to…

eess.SP2024

Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System

Mengjiang Sun, Peng Chen, Zhenxin Cao +1

With the leaping advances in autonomous vehicles and transportation infrastructure, dual function radar-communication (DFRC) systems have become attractive due to the size, cost an…

eess.SP2024★ 43 cited

Real-Time Asphalt Pavement Layer Thickness Prediction Using Ground-Penetrating Radar Based on a Modified Extended Common Mid-Point (XCMP) Approach

Siqi Wang, Zhen Leng, Xin Sui +3

The conventional surface reflection method has been widely used to measure the asphalt pavement layer dielectric constant using ground-penetrating radar (GPR). This method may be i…