Uplink-aided high mobility downlink channel estimation over massive MIMO-OTFS system

Y Liu, S Zhang, F Gao, J Ma… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Although it is often used in the orthogonal frequency division multiplexing (OFDM) systems,
application of massive multiple-input multiple-output (MIMO) over the orthogonal time …

Deep learning optimized sparse antenna activation for reconfigurable intelligent surface assisted communication

S Zhang, S Zhang, F Gao, J Ma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a revolutionary technology for achieving high rate
and large coverage in future wireless networks by smartly reflecting the signals with …

Data-driven deep learning to design pilot and channel estimator for massive MIMO

X Ma, Z Gao - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
In this paper, we propose a data-driven deep learning (DL) approach to jointly design the
pilot signals and channel estimator for wideband massive multiple-input multiple-output …

A new path division multiple access for the massive MIMO-OTFS networks

M Li, S Zhang, F Gao, P Fan… - IEEE journal on selected …, 2020 - ieeexplore.ieee.org
This article focuses on a new path division multiple access (PDMA) for both uplink (UL) and
downlink (DL) massive multiple-input multiple-output network over a high mobility scenario …

Efficient deployment with geometric analysis for mmWave UAV communications

J Zhao, J Liu, J Jiang, F Gao - IEEE Wireless Communications …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) communications with mmWave band is a promising
candidate for future communication systems due to its high reliability, excellent flexibility and …

[HTML][HTML] Towards artificial intelligence-aided mimo detection for 6g communication systems: a review of current trends, challenges and future directions

G Omondi, TO Olwal - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …

Polarization channel estimation for circular and non-circular signals in massive MIMO systems

X Wang, L Wan, M Huang, C Shen… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
The polarization millimeter wave (mmWave) massive multiple-input multiple-output (MIMO)
system has been deployed in next-generation wireless communication since it can provide a …

Terahertz ultra-massive MIMO-based aeronautical communications in space-air-ground integrated networks

A Liao, Z Gao, D Wang, H Wang, H Yin… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The emerging space-air-ground integrated network has attracted intensive research and
necessitates reliable and efficient aeronautical communications. This paper investigates …

Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning

C Wu, X Yi, Y Zhu, W Wang, L You… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
While massive multiple-input multiple-output (MIMO) has achieved tremendous success in
both theory and practice, it faces a crisis of sharp performance degradation in moderate or …

Cascaded channel estimation for RIS assisted mmWave MIMO transmissions

Y Liu, S Zhang, F Gao, J Tang… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Channel estimation is challenging for the reconfigurable intelligence surface (RIS) assisted
millimeter wave (mmWave) communications. Since the number of coefficients of the …