activity
20162023
most citedHierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO

138 citations · 284 across the 23 of their papers we have counts for

collaborators

23 papers

cs.IT2023

Multiuser Beamforming for Partially-Connected Millimeter Wave Massive MIMO

Chenhao Qi, Jinlin Hu, Yang Du +1

Multiuser beamforming is considered for partially-connected millimeter wave massive MIMO systems. Based on perfect channel state information (CSI), a low-complexity hybrid beamform…

cs.IT2023

Beam Training and Tracking for Extremely Large-Scale MIMO Communications

Kangjian Chen, Chenhao Qi, Cheng-Xiang Wang +1

In this paper, beam training and beam tracking are investigated for extremely large-scale multiple-input-multiple-output communication systems with partially-connected hybrid combi…

eess.SP2023

Simultaneous Beam Training and Target Sensing in ISAC Systems with RIS

Kangjian Chen, Chenhao Qi, Octavia A. Dobre +1

This paper investigates an integrated sensing and communication (ISAC) system with reconfigurable intelligent surface (RIS). Our simultaneous beam training and target sensing (SBTT…

cs.IT2022

Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO

Chenhao Qi, Qiang Liu, Xianghao Yu +1

A variable-phase-shifter (VPS) architecture with hybrid precoding for mixture use of phase shifters and switches, is proposed for millimeter wave massive multiple-input multiple-ou…

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…

cs.IT2022★ 138 cited

Hierarchical Codebook based Multiuser Beam Training for Millimeter Wave Massive MIMO

Chenhao Qi, Kangjian Chen, Octavia A. Dobre +1

In this paper, multiuser beam training based on hierarchical codebook for millimeter wave massive multi-input multi-output is investigated, where the base station (BS) simultaneous…

eess.SP2020★ 8 cited

Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches

Chenhao Qi, Peihao Dong, Wenyan Ma +3

The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on…

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.SP2020★ 9 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…

eess.SP2020

High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO System

Wenyan Ma, Chenhao Qi, Geoffrey Ye Li

In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for freq…

eess.SP2020

Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO

Wenyan Ma, Chenhao Qi, Geoffrey Ye Li

This article investigates beam alignment for multi-user millimeter wave (mmWave) massive multi-input multi-output system. Unlike the existing works using machine learning (ML), an…

eess.SP2020★ 94 cited

Two-Step Codeword Design for Millimeter Wave Massive MIMO Systems with Quantized Phase Shifters

Kangjian Chen, Chenhao Qi, Geoffrey Ye Li

In this paper, a two-step codeword design approach for millimeter wave (mmWave) massive MIMO systems is presented. Ideal codewords are first designed, which ignores the hardware co…

eess.SP2019

Precoding Design for Energy Efficiency of Multibeam Satellite Communications

Chenhao Qi, Xin Wang

Instead of merely improving the spectral efficiency (SE), improving the energy efficiency (EE) is another important concern for multibeam satellite systems, due to the power constr…

eess.SP2019

Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining

Wenyan Ma, Chenhao Qi

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and co…

eess.SP2019

Beam Training based on Dynamic Hierarchical Codebook for Millimeter Wave Massive MIMO

Kangjian Chen, Chenhao Qi

Beam training based on hierarchical codebook for millimeter wave (mmWave) massive MIMO is investigated. Unlike the existing work using the same hierarchical codebook to estimate di…

eess.SP2019

Codeword Selection and Hybrid Precoding for Multiuser Millimeter Wave Massive MIMO Systems

Xuyao Sun, Chenhao Qi

Aiming at maximizing the achievable sum-rate of wideband multiuser mmWave massive MIMO systems, the hybrid precoding is studied. Since each computation of the achievable sum-rate c…

eess.SP2019

Beam Training and Allocation for Multiuser Millimeter Wave Massive MIMO Systems

Xuyao Sun, Chenhao Qi, Geoffrey Ye Li

We investigate beam training and allocation for multiuser millimeter wave massive MIMO systems. An orthogonal pilot based beam training scheme is first developed to reduce the numb…

cs.IT2018

Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks

Shiwen He, Chenhao Qi, Yongming Huang +2

In this paper, we investigate the downlink transmission for cache-enabled fog radio access networks aiming at maximizing the delivery rate under the constraints of fronthaul capaci…

cs.IT2017

Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems

Shiwen He, Chenhao Qi, Yongpen Wu +1

Millimeter-wave (mmWave) communication operated in frequency bands between 30 and 300 GHz has attracted extensive attention due to the potential ability of offering orders of magni…

cs.IT2016★ 35 cited

Near-Optimal Signal Detector Based on Structured Compressive Sensing for Massive SM-MIMO

Zhen Gao, Linglong Dai, Chenhao Qi +2

Massive spatial modulation (SM)-MIMO, which employs massive low-cost antennas but few power-hungry transmit radio frequency (RF) chains at the transmitter, is recently proposed to…