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 …
Single-user SFLC-OFDM system realization based on channel reciprocity recovery
This paper demonstrates the implementation of a space–frequency line coded-orthogonal
frequency-division multiplexing (SFLC-OFDM) system. The SFLC-OFDM system utilizes …
frequency-division multiplexing (SFLC-OFDM) system. The SFLC-OFDM system utilizes …
Energy efficiency optimization in adaptive transmit antenna selection systems with limited feedback
T Wu, Y Zou - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
We investigate the energy efficiency (EE) of cellular downlink transmissions with limited
feedback, where the channel state information (CSI) assumed to be available at the …
feedback, where the channel state information (CSI) assumed to be available at the …
Joint Band Assignment and Beam Management using Hierarchical Reinforcement Learning for Multi-Band Communication
D Kim, MR Castellanos… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-band operation in wireless networks can improve data rates by leveraging the benefits
of propagation in different frequency ranges. Distinctive beam management procedures in …
of propagation in different frequency ranges. Distinctive beam management procedures in …
A Tensor-Structured Approach to Dynamic Channel Prediction for Massive MIMO Systems with Temporal Non-Stationarity
In moderate-to high-mobility scenarios, channel state information (CSI) varies rapidly and
becomes temporally non-stationary, leading to significant performance degradation in …
becomes temporally non-stationary, leading to significant performance degradation in …
Deep learning-based channel estimation with application to 5G and beyond networks
P Jayashankar, SB Nanjundaiah - International Journal of …, 2024 - search.proquest.com
Channel state information (CSI) feedback estimation for a downlink medium in a massive
multiple input multiple output (MIMO) system is an essential and critical task to improve …
multiple input multiple output (MIMO) system is an essential and critical task to improve …
[PDF][PDF] Channel reconstruction through improvised deep learning architecture for high-speed networks
P Jayashanka, BN Shobha - Int J Reconfigurable & Embedded Syst …, 2024 - academia.edu
Efficient acquisition of channel state information (CSI) is quite complicated process but
immensely essential to exploit probable benefits of massive multiple input multiple output …
immensely essential to exploit probable benefits of massive multiple input multiple output …
Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing
Time division duplexing (TDD) is adopted to exploit the uplink and downlink channel
reciprocity in most of studies on massive multiple-input multiple-output (MIMO) systems …
reciprocity in most of studies on massive multiple-input multiple-output (MIMO) systems …