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Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning
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 …
both theory and practice, it faces a crisis of sharp performance degradation in moderate or …
Channel prediction using ordinary differential equations for MIMO systems
Channel state information (CSI) estimation is part of the most fundamental problems in 5G
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …
wireless communication systems. In mobile scenarios, outdated CSI will have a serious …
Downlink channel estimation for FDD massive MIMO using conditional generative adversarial networks
For implementation of massive multiple-input multiple-output (MIMO) cellular systems in
frequency division duplex (FDD) mode, accurate estimation of downlink channel state …
frequency division duplex (FDD) mode, accurate estimation of downlink channel state …
FDD massive MIMO uplink and downlink channel reciprocity properties: Full or partial reciprocity?
Z Zhong, L Fan, S Ge - GLOBECOM 2020-2020 IEEE Global …, 2020 - ieeexplore.ieee.org
One challenge for FDD massive MIMO communication system is how to obtain the downlink
channel state information (CSI) at the base station. Except for traditional codebook feedback …
channel state information (CSI) at the base station. Except for traditional codebook feedback …
FIRE: enabling reciprocity for FDD MIMO systems
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 …
service and support multiple streams simultaneously. However, for real-world MIMO …
A partial reciprocity-based channel prediction framework for FDD massive MIMO with high mobility
Z Qin, H Yin, Y Cao, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is believed to deliver unrepresented spectral
efficiency gains for 5G and beyond. However, a practical challenge arises during its …
efficiency gains for 5G and beyond. However, a practical challenge arises during its …
HORCRUX: Accurate cross band channel prediction
Recent advancement in Frequency Domain Duplexing (FDD) enables wireless systems to
use different frequency bands for uplink and downlink communication without explicit …
use different frequency bands for uplink and downlink communication without explicit …
A 64-element and dual-polarized SICL-based slot antenna array development applied to TDD massive MIMO
HRD Filgueiras, AC Sodré - IEEE Antennas and Wireless …, 2022 - ieeexplore.ieee.org
This letter reports the concept, design, fabrication, and characterization of a novel 64-
element, slot-based and substrate-integrated coaxial line (SICL)-fed dual-polarized antenna …
element, slot-based and substrate-integrated coaxial line (SICL)-fed dual-polarized antenna …
Learning-based multi-channel access in 5G and beyond networks with fast time-varying channels
We propose a learning-based scheme to investigate the dynamic multi-channel access
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
(DMCA) problem in the fifth generation (5G) and beyond networks with fast time-varying …
Statistical spatial information based power optimization algorithm for multi-user massive MIMO systems
S Liang, G Ren, X Dong, Y He - Digital Signal Processing, 2024 - Elsevier
Power optimization has a significant role in multi-user massive multiple-input and multiple-
output (mMIMO) wireless communication systems, whereas the acquisition of instantaneous …
output (mMIMO) wireless communication systems, whereas the acquisition of instantaneous …