most citedExploiting Structured Sparsity in Near Field: From the Perspective of Decomposition

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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…

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.IT2024

Learning-Based Joint Beamforming and Antenna Movement Design for Movable Antenna Systems

Caihao Weng, Yuanbin Chen, Lipeng Zhu +1

In this paper, we investigate a multi-receiver communication system enabled by movable antennas (MAs). Specifically, the transmit beamforming and the double-side antenna movement a…

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…