activity
20202026
most citedLarge AI Model Empowered Multimodal Semantic Communications

5 citations · 7 across the 10 of their papers we have counts for

collaborators

11 papers

eess.SP2026

Semi-Blind Fluid Antenna System: Port Selection via Statistical Analysis

Tianyu Han, Yongxu Zhu, Kai-Kit Wong +3

The fluid antenna system (FAS) enables position reconfigurability. A potential drawback of real-time FAS, however, is that it requires complete channel state information (CSI) for…

eess.SP2024

Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB

Shengheng Liu, Zihuan Mao, Xingkang Li +4

Pervasive and high-accuracy positioning has become increasingly important as a fundamental enabler for intelligent connected devices in mobile networks. Nevertheless, current wirel…

cs.IT2024

Hybrid Beamforming Design for Covert mmWave MIMO with Finite-Resolution DACs

Wei Ci, Chenhao Qi, Xiaohu You

We investigate hybrid beamforming design for covert millimeter wave multiple-input multiple-output systems with finite-resolution digital-to-analog converters (DACs), which impose…

eess.SP2024

Machine-Type Communication Waveforms: An Exploration of New Dimensions

Michael Wang, Lei Wang, Xiaohu You

This paper derives a generalized class of waveforms with an application to machine-type communication (MTC) while studying its underlying structural characteristics in relation to…

cs.IT2024

Spatially Correlated RIS-Aided Secure Massive MIMO Under CSI and Hardware Imperfections

Dan Yang, Jindan Xu, Wei Xu +4

This paper investigates the integration of a reconfigurable intelligent surface (RIS) into a secure multiuser massive multiple-input multiple-output (MIMO) system in the presence o…

cs.IT2024★ 2 cited

Secure Outage Analysis for RIS-Aided MISO Systems with Randomly Located Eavesdroppers

Wei Shi, Jindan Xu, Wei Xu +4

In this paper, we consider the physical layer security of an RIS-assisted multiple-antenna communication system with randomly located eavesdroppers. The exact distributions of the…

eess.SP2024

Lightweight Deep Learning Based Channel Estimation for Extremely Large-Scale Massive MIMO Systems

Shen Gao, Peihao Dong, Zhiwen Pan +1

Extremely large-scale massive multiple-input multiple-output (XL-MIMO) systems introduce the much higher channel dimensionality and incur the additional near-field propagation effe…

cs.IT2023

Low-Complexity Channel Estimation for Extremely Large-Scale MIMO in Near Field

Chun Huang, Jindan Xu, Wei Xu +3

The extremely large-scale massive multiple-input multiple-output (XL-MIMO) has the potential to achieve boosted spectral efficiency and refined spatial resolution for future wirele…

cs.AI2023★ 5 cited

Large AI Model Empowered Multimodal Semantic Communications

Feibo Jiang, Li Dong, Yubo Peng +4

Multimodal signals, including text, audio, image, and video, can be integrated into Semantic Communication (SC) systems to provide an immersive experience with low latency and high…

eess.SP2023

A New Heterogeneous Hybrid Massive MIMO Receiver with An Intrinsic Ability of Removing Phase Ambiguity of DOA Estimation via Machine Learning

Feng Shu, Baihua Shi, Yiwen Chen +5

Massive multiple input multiple output (MIMO) antenna arrays eventuate a huge amount of circuit costs and computational complexity. To satisfy the needs of high precision and low c…

eess.SP2020

6G Wireless Channel Measurements and Models: Trends and Challenges

C. -X. Wang, J. Huang, H. Wang +3

In this article, we first present our vision on the application scenarios, performance metrics, and potential key technologies of the sixth generation (6G) wireless communication n…