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Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks
With the rapid development of the communication industry in the fifth generation and the
advance towards the intelligent society of the sixth generation wireless networks, traditional …
advance towards the intelligent society of the sixth generation wireless networks, traditional …
Deep learning-based design of uplink integrated sensing and communication
In this paper, we investigate the issue of uplink integrated sensing and communication
(ISAC) in 6G wireless networks where the sensing echo signal and the communication …
(ISAC) in 6G wireless networks where the sensing echo signal and the communication …
Bilinear Gaussian belief propagation for massive MIMO detection with non-orthogonal pilots
K Ito, T Takahashi, S Ibi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We propose a novel joint channel and data estimation (JCDE) algorithm via bilinear
Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems …
Gaussian belief propagation (BiGaBP) for massive multi-user MIMO (MU-MIMO) systems …
Hd-deep-em: Deep expectation maximization for dynamic hidden state recovery using heterogeneous data
Uncertain power generations and loads are continually integrated into the power system,
causing high risks of dynamic events. To better monitor systems, advanced meters like …
causing high risks of dynamic events. To better monitor systems, advanced meters like …
A survey on federated learning for reconfigurable intelligent metasurfaces-aided wireless networks
Wireless networks are increasingly relying on machine learning (ML) paradigms to provide
various services at the user level. Yet, it remains impractical for users to offload their …
various services at the user level. Yet, it remains impractical for users to offload their …
DL-based joint waveform and beamforming design for integrated sensing and communication
As one of candidate technologies for the sixth-generation (6G) wireless network, integrated
sensing and communication (ISAC) is expected to support a new use case. Due to the …
sensing and communication (ISAC) is expected to support a new use case. Due to the …
Multi-static ISAC in cell-free massive MIMO: Precoder design and privacy assessment
A multi-static sensing-centric integrated sensing and communication (ISAC) network can
take advantage of the cell-free massive multiple-input multiple-output infrastructure to …
take advantage of the cell-free massive multiple-input multiple-output infrastructure to …
Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems
The application of machine learning in wireless communications has been extensively
explored, with deep unfolding emerging as a powerful model-based technique. Deep …
explored, with deep unfolding emerging as a powerful model-based technique. Deep …
Toward Better Low-Rate Deep Learning-Based CSI Feedback: A Test Channel-Based Approach
Deep learning (DL)-based channel state information (CSI) feedback provides satisfactory
reconstruction accuracy of downlink CSI for the base station in massive multiple-input …
reconstruction accuracy of downlink CSI for the base station in massive multiple-input …
DL-Based ISAC via Tensor Analysis in Massive MIMO-OFDM Systems With Spatial-Frequency Wideband Effects
J Du, H Ma, Z Yu, X Li, S Mumtaz… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this paper, we propose a novel integrated sensing and communication (ISAC) algorithm
for massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO …
for massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO …