activity
20202026
most citedDeep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces

17 citations · 30 across the 12 of their papers we have counts for

collaborators

13 papers

cs.PF2026

SARA: SLO-Aware Resource Allocation for Disaggregated Agentic LLM Services

Shicong Liu, Xianghao Yu, Zhen Gao +1

Recent advances in large language models (LLMs) are driving the emergence of multi-modal and agentic services for mobile users through cloud and edge infrastructures, where long-co…

eess.SP2026

Bending the Rules of Propagation: Caustic Beamforming for Next-Generation Wireless Systems

Shicong Liu, Xianghao Yu, Robert Schober

Conventional beamforming techniques primarily steer energy along desired directions or focus it at specific locations. These techniques become fragile when facing frequent blockage…

cs.IT2026

Robust and Secure Near-Field Communication via Curved Caustic Beams

Shicong Liu, Xianghao Yu, Robert Schober

Near-field beamfocusing with extremely large aperture arrays can effectively enhance physical layer security. Nevertheless, even small estimation errors of the eavesdropper's locat…

cs.IT2025

Near-Field Communication with Massive Movable Antennas: An Electrostatic Equilibrium Perspective

Shicong Liu, Xianghao Yu, Shenghui Song +1

Recent advancements in large-scale position-reconfigurable antennas have opened up new dimensions to effectively utilize the spatial degrees of freedom (DoFs) of wireless channels.…

eess.SP2025

Flow Matching-Based Active Learning for Radio Map Construction with Low-Altitude UAVs

Hao Sun, Shicong Liu, Xianghao Yu +1

The employment of unmanned aerial vehicles (UAVs) in the lowaltitude economy necessitates precise and real-time radio maps for reliable communication and safe navigation. However,…

cs.IT2025

Near-Field Communication with Massive Movable Antennas: A Functional Perspective

Shicong Liu, Xianghao Yu, Jie Xu +1

The advent of massive multiple-input multiple-output (MIMO) technology has provided new opportunities for capacity improvement via strategic antenna deployment, especially when the…

cs.IT2024

Low-Complexity Near-Field Localization with XL-MIMO Sectored Uniform Circular Arrays

Shicong Liu, Xianghao Yu

Rapid advancement of antenna technology catalyses the popularization of extremely large-scale multiple-input multiple-output (XL-MIMO) antenna arrays, which pose unique challenges…

cs.IT2024★ 1 cited

Sensing-Enhanced Channel Estimation for Near-Field XL-MIMO Systems

Shicong Liu, Xianghao Yu, Zhen Gao +3

Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of th…

cs.IT2023★ 2 cited

DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation

Shicong Liu, Xianghao Yu, Zhen Gao +1

Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of th…

cs.CL2023

Transformer-based Joint Source Channel Coding for Textual Semantic Communication

Shicong Liu, Zhen Gao, Gaojie Chen +2

The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming. In this paper, we propose a textual semantic transmission fram…

eess.SP2023★ 3 cited

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Zhen Gao, Shicong Liu, Yu Su +2

This paper focuses on advancing outdoor wireless systems to better support ubiquitous extended reality (XR) applications, and close the gap with current indoor wireless transmissio…

eess.SP2021★ 7 cited

LEO Satellite Constellations for 5G and Beyond: How Will They Reshape Vertical Domains?

Shicong Liu, Zhen Gao, Yongpeng Wu +5

The rapid development of communication technologies in the past decades has provided immense vertical opportunities for individuals and enterprises. However, conventional terrestri…

cs.IT2020★ 17 cited

Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces

Shicong Liu, Zhen Gao, Jun Zhang +2

Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and…