most citedAngular-Distance Based Channel Estimation for Holographic MIMO

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

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.IT20241 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…

eess.SP2024

Channel Estimation for Holographic MIMO: Wavenumber-Domain Sparsity Inspired Approaches

Yuqing Guo, Yuanbin Chen, Ying Wang

This paper investigates the sparse channel estimation for holographic multiple-input multiple-output (HMIMO) systems. Given that the wavenumber-domain representation is based on a…

cs.IT2024

Sparse Recovery for Holographic MIMO Channels: Leveraging the Clustered Sparsity

Yuqing Guo, Xufeng Guo, Yuanbin Chen +1

Envisioned as the next-generation transceiver technology, the holographic multiple-input-multiple-output (HMIMO) garners attention for its superior capabilities of fabricating elec…

cs.IT2024

Holographic MIMO Systems, Their Channel Estimation and Performance

Yuanbin Chen, Ying Wang, Zhaocheng Wang +1

Holographic multiple-input multiple-output (MIMO) systems constitute a promising technology in support of next-generation wireless communications, thus paving the way for a smart p…

cs.IT20231 cited

Angular-Distance Based Channel Estimation for Holographic MIMO

Yuanbin Chen, Ying Wang, Zhaocheng Wang +1

This paper investigates the channel estimation for holographic MIMO systems by unmasking their distinctions from the conventional one. Specifically, we elucidate that the channel e…