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20132023
most citedIntelligent Reflecting Surface Aided Full-Duplex Communication: Passive Beamforming and Deployment Design

85 citations · 508 across the 46 of their papers we have counts for

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Showing 2021Show all

8 papers · 1 filter

cs.IT2021★ 3 cited

Channel Estimation for Hybrid Massive MIMO Systems with Adaptive-Resolution ADCs

Yalin Wang, Xihan Chen, Yunlong Cai +2

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multipl…

eess.SP2021

Deep-Unfolding Beamforming for Intelligent Reflecting Surface assisted Full-Duplex Systems

Yanzhen Liu, Qiyu Hu, Yunlong Cai +2

In this paper, we investigate an intelligent reflecting surface (IRS) assisted multi-user multiple-input multiple-output (MIMO) full-duplex (FD) system. We jointly optimize the act…

cs.IT2021

Channel Estimation for STAR-RIS-aided Wireless Communication

Chenyu Wu, Changsheng You, Yuanwei Liu +2

In this letter, we study efficient uplink channel estimation design for a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted two-user…

cs.IT2021★ 2 cited

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding

Qiyu Hu, Yunlong Cai, Kai Kang +3

In this paper, we propose an end-to-end deep learning-based joint transceiver design algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, w…

cs.IT2021★ 2 cited

Resource Allocation for Millimeter-Wave Train-Ground Communications in High-Speed Railway Scenarios

Xiangfei Zhang, Yong Niu, Shiwen Mao +5

With the development of wireless communication, higher requirements arise for train-ground wireless communications in high-speed railway (HSR) scenarios. The millimeter-wave (mm-wa…

eess.SP2021

Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems

Yanzhen Liu, Qiyu Hu, Yunlong Cai +1

In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading…