activity
20212025
most citedReconfigurable Intelligent Surface (RIS)-aided Vehicular Networks: Their Protocols, Resource Allocation, and Performance

8 citations · 16 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SP2025

Two-timescale Beamforming Optimization for Downlink Multi-user Holographic MIMO Surfaces

Haochen Wu, Yuanbin Chen, Yang Ming +1

Benefiting from the rapid development of metamaterials and metasurfaces, the holographic multiple-input and multiple-output surface (HMIMOS) has been regarded as a promising soluti…

eess.SP2025

New Paradigm for Unified Near-Field and Far-Field Wireless Communications

Zhaocheng Wang, Haochen Wu, Yuanbin Chen +1

Current Type I and Type II codebooks in fifth generation (5G) wireless communications are limited in supporting the coexistence of far-field and near-field user equipments, as they…

eess.SP2024

MIMO Precoding Exploiting Extra Degrees of Freedom (DoF) in the Wavenumber Domain

Yuanbin Chen, Xufeng Guo, Tianqi Mao +3

In this paper, we propose an emerging wavenumber-domain precoding scheme to break the limitations of rank-1 channels that merely supports single-stream transmission, enabling simul…

eess.SP2024

Wavenumber-Domain Near-Field Channel Estimation: Beyond the Fresnel Bound

Xufeng Guo, Yuanbin Chen, Ying Wang +2

In the near-field context, the Fresnel approximation is typically employed to mathematically represent solvable functions of spherical waves. However, these efforts may fail to tak…

cs.IT2024★ 1 cited

Unified Far-Field and Near-Field in Holographic MIMO: A Wavenumber-Domain Perspective

Yuanbin Chen, Xufeng Guo, Gui Zhou +3

This article conceives a unified representation for near-field and far-field holographic multiple-input multiple-output (HMIMO) channels, addressing a practical design dilemma: "Wh…

cs.IT2024★ 1 cited

Exploiting Structured Sparsity in Near Field: From the Perspective of Decomposition

Xufeng Guo, Yuanbin Chen, Ying Wang +1

The structured sparsity can be leveraged in traditional far-field channels, greatly facilitating efficient sparse channel recovery by compressing the complexity of overheads to the…