[图书][B] Foundations of MIMO communication

RW Heath Jr, A Lozano - 2018 - books.google.com
Understand the fundamentals of wireless and MIMO communication with this accessible and
comprehensive text. Viewing the subject through an information theory lens, but also …

Voice localization using nearby wall reflections

S Shen, D Chen, YL Wei, Z Yang… - Proceedings of the 26th …, 2020 - dl.acm.org
Voice assistants such as Amazon Echo (Alexa) and Google Home use microphone arrays to
estimate the angle of arrival (AoA) of the human voice. This paper focuses on adding user …

UL-CSI data driven deep learning for predicting DL-CSI in cellular FDD systems

J Wang, Y Ding, S Bian, Y Peng, M Liu, G Gui - IEEE Access, 2019 - ieeexplore.ieee.org
Frequency division duplex (FDD) systems dominate current cellular networks due to its
advantages of low latency and strong anti-interference ability. However, the computation …

{VMscatter}: A versatile {MIMO} backscatter

X Liu, Z Chi, W Wang, Y Yao, T Zhu - 17th USENIX symposium on …, 2020 - usenix.org
In this paper, we design and implement a versatile MIMO backscatter (VMscatter) system,
which leverages the diversity features of MIMO to dramatically decrease bit error rate (BER) …

Downlink channel estimation for FDD massive MIMO using conditional generative adversarial networks

B Banerjee, RC Elliott, WA Krzymień… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For implementation of massive multiple-input multiple-output (MIMO) cellular systems in
frequency division duplex (FDD) mode, accurate estimation of downlink channel state …

Deep learning-based FDD non-stationary massive MIMO downlink channel reconstruction

Y Han, M Li, S Jin, CK Wen, X Ma - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
This paper proposes a model-driven deep learning-based downlink channel reconstruction
scheme for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) …

Tracking FDD massive MIMO downlink channels by exploiting delay and angular reciprocity

Y Han, Q Liu, CK Wen, M Matthaiou… - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
The massive multiple-input multiple-output (MIMO) technology considerably enhances the
spectral efficiency of a wireless communication system. However, it suffers from substantial …

FIRE: enabling reciprocity for FDD MIMO systems

Z Liu, G Singh, C Xu, D Vasisht - Proceedings of the 27th Annual …, 2021 - dl.acm.org
Massive MIMO forms a crucial component for 5G because of its ability to improve quality of
service and support multiple streams simultaneously. However, for real-world MIMO …

A Scalable Deep Learning Framework for Dynamic CSI Feedback with Variable Antenna Port Numbers

YC Lin, TS Lee, Z Ding - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Transmitter-side channel state information (CSI) is vital for large MIMO downlink systems to
achieve high spectrum and energy efficiency. Existing deep learning architectures for …

FDD massive MIMO based on efficient downlink channel reconstruction

Y Han, Q Liu, CK Wen, S Jin… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output systems deploying a large number of antennas at the
base station considerably increase the spectrum efficiency by serving multiple users …