activity
20202024
most citedImpact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array

27 citations · 40 across the 14 of their papers we have counts for

collaborators

14 papers

eess.SP2024

Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver

Jiatong Bai, Feng Shu, Qinghe Zheng +5

Due to its excellent performance in rate and resolution, fully-digital (FD) massive multiple-input multiple-output (MIMO) antenna arrays has been widely applied in data transmissio…

eess.SP2024

Two Power Allocation and Beamforming Strategies for Active IRS-aided Wireless Network via Machine Learning

Qiankun Cheng, Jiatong Bai, Baihua Shi +2

This paper models an active intelligent reflecting surface (IRS) -assisted wireless communication network, which has the ability to adjust power between BS and IRS. We aim to maxim…

eess.SP2023

A New Heterogeneous Hybrid Massive MIMO Receiver with An Intrinsic Ability of Removing Phase Ambiguity of DOA Estimation via Machine Learning

Feng Shu, Baihua Shi, Yiwen Chen +5

Massive multiple input multiple output (MIMO) antenna arrays eventuate a huge amount of circuit costs and computational complexity. To satisfy the needs of high precision and low c…

cs.IT2023★ 1 cited

STAR-RIS-UAV Aided Coordinated Multipoint Cellular System for Multi-user Networks

Baihua Shi, Yang Wang, Danqi Li +6

Different with conventional reconfigurable intelligent surface (RIS), simultaneous transmitting and reflecting RIS (STAR-RIS) can reflect and transmit the signals to the receiver.…

eess.SP2023★ 7 cited

Low-Complexity Three-Dimensional AOA-Cross Geometric Center Localization Methods via Multi-UAV network

Baihua Shi, Yifan Li, Guilu Wu +2

Angle of arrival (AOA) is widely used to locate a wireless signal emitter in unmanned aerial vehicle (UAV) localization. Compared with received signal strength (RSS) and time of ar…

eess.SP2022

Deep Learning Based DOA Estimation for Hybrid Massive MIMO Receive Array with Overlapped Subarrays

Yifan Li, Baihua Shi, Feng Shu +2

To improve the accuracy of direction-of-arrival (DOA) estimation, a deep learning (DL)-based method called CDAE-DNN is proposed for hybrid analog and digital (HAD) massive MIMO rec…

cs.IT2022

Machine-learning-aided Massive Hybrid Analog and Digital MIMO DOA Estimation for Future Wireless Networks

Feng Shu, Yiwen Chen, Xichao Zhan +7

Due to a high spatial angle resolution and low circuit cost of massive hybrid analog and digital (HAD) multiple-input multiple-output (MIMO), it is viewed as a valuable green commu…

cs.IT2021★ 3 cited

DOA Estimation Using Massive Receive MIMO: Basic Principle and Key Techniques

Jiangzhou Wang, Baihua Shi, Feng Shu +6

As massive multiple-input multiple-output (MIMO) becomes popular, direction of arrival (DOA) measurement has been made a real renaissance due to the high-resolution achieved. Thus,…

eess.SP2021★ 1 cited

High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers

Qijuan Jie, Xichao Zhan, Feng Shu +4

For a passive direction of arrival (DoA) measurement system using massive multiple input multiple output (MIMO), it is mandatory to infer whether the emitter exists or not before p…

cs.IT2021

DOA Estimation for Hybrid Massive MIMO Systems using Mixed-ADCs: Performance Loss and Energy Efficiency

Baihua Shi, Qi Zhang, Rongen Dong +4

Due to the power consumption and high circuit cost in antenna arrays, the practical application of massive multiple-input multiple-output (MIMO) in the sixth generation (6G) and fu…

cs.IT2021★ 1 cited

Fast Ambiguous DOA Elimination Method of DOA Measurement for Hybrid Massive MIMO Receiver

Nuo Chen, Xinyi Jiang, Baihua Shi +6

DOA estimation for massive multiple-input multiple-output (MIMO) system can provide ultra-high-resolution angle estimation. However, due to the high computational complexity and co…

cs.IT2021

On Performance Loss of DOA Measurement Using Massive MIMO Receiver with Mixed-ADCs

Baihua Shi, Lingling Zhu, Wenlong Cai +5

High hardware cost and high power consumption of massive multiple-input and multiple output (MIMO) are two challenges for the future wireless communications including beyond fifth…

eess.SP2020

Enhanced RSS-based UAV Localization via Trajectory and Multi-base Stations

Yifan Li, Feng Shu, Baihua Shi +3

To improve the localization precision of unmanned aerial vehicle (UAV), a novel framework is established by jointly utilizing multiple measurements of received signal strength (RSS…

cs.IT2020★ 27 cited

Impact of Low-Resolution ADC on DOA Estimation Performance for Massive MIMO Receive Array

Baihua Shi, Nuo Chen, Xicheng Zhu +4

In this paper, we present a new scenario of direction of arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-di…