Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks

C Mao, Z Mu, Q Liang, I Schizas, C Pan - IET Communications, 2023 - Wiley Online Library
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 …

Deep learning-based design of uplink integrated sensing and communication

Q Qi, X Chen, C Zhong, C Yuen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

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 …

Hd-deep-em: Deep expectation maximization for dynamic hidden state recovery using heterogeneous data

Z Ma, H Li, Y Weng, E Blasch… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

A survey on federated learning for reconfigurable intelligent metasurfaces-aided wireless networks

SK Das, B Champagne… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
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 …

DL-based joint waveform and beamforming design for integrated sensing and communication

Q Qi, X Chen, C Huang, C Zhong… - 2023 IEEE Globecom …, 2023 - ieeexplore.ieee.org
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 …

Multi-static ISAC in cell-free massive MIMO: Precoder design and privacy assessment

IWG Da Silva, DPM Osorio… - 2023 IEEE Globecom …, 2023 - ieeexplore.ieee.org
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 …

Comprehensive Review of Deep Unfolding Techniques for Next-Generation Wireless Communication Systems

S Deka, K Deka, NT Nguyen, S Sharma… - arxiv preprint arxiv …, 2025 - arxiv.org
The application of machine learning in wireless communications has been extensively
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

X Liang, Z Jia, X Gu, L Zhang - IEEE Transactions on Wireless …, 2024 - ieeexplore.ieee.org
Deep learning (DL)-based channel state information (CSI) feedback provides satisfactory
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 …