activity
20182023
most citedTwo-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters

94 citations · 103 across the 17 of their papers we have counts for

collaborators

15 papers

eess.SP2022

Low-Complexity Multicast Beamforming for Millimeter Wave Communications

Zhaohui Li, Chenhao Qi, Geoffrey Ye Li

To develop a low-complexity multicast beamforming method for millimeter wave communications, we first propose a channel gain estimation method in this article. We use the beam swee…

cs.IT2022

Multibeam Satellite Communications with Energy Efficiency Optimization

Chenhao Qi, Yang Yang, Rui Ding +2

Energy efficiency (EE) is an important aspect of satellite communications. Different with the existing algorithms that typically use the first-order Taylor lower bound approximatio…

cs.IT2022

Channel Estimation for Wideband MmWave MIMO OFDM System Exploiting Block Sparsity

Yujie Wang, Chenhao Qi, Ping Li +2

In this letter, we investigate time-domain channel estimation for wideband millimeter wave (mmWave) MIMO OFDM system. By transmitting frequency-domain pilot symbols as well as diff…

eess.SP2022

Hybrid Beamforming for Millimeter Wave MIMO Integrated Sensing and Communications

Chenhao Qi, Wei Ci, Jinming Zhang +1

In this letter, we consider hybrid beamforming for millimeter wave (mmWave) MIMO integrated sensing and communications (ISAC). We design the transmit beam of a dual-functional rada…

eess.SP2020

Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

Chenhao Qi, Huajian Chen, Yansha Deng +1

Aiming at maximizing the energy efficiency (EE) of multicast multibeam satellite communications, we consider the precoding design under the total power and quality of service (QoS)…

eess.SP20209 cited

Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

Wenyan Ma, Chenhao Qi, Zaichen Zhang +1

Channel estimation and hybrid precoding are considered for multi-user millimeter wave massive multi-input multi-output system. A deep learning compressed sensing (DLCS) channel est…