Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

摘要针对现有的非对称限幅光正交频分复用(ACO-OFDM) 可见光通信(VLC)
系统中信道估计方法存在导频数量过大, 精度低, 估计效率不高的问题, 提出一种基于深度神经 …

The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio
communications because of its efficient spectrum utilization. As we know, the adaptive …

In this paper, we propose an encoder-decoder neural architecture (called Channelformer) to
achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM) …

Multi-input multi-output (MIMO) transmission schemes have become the techniques of
choice for increasing spectral efficiency in bandwidth-congested areas. However, the design …

Channel estimation (CE) is one of the critical signal-processing tasks of the wireless
physical layer (PHY). Recent deep learning (DL) based CE have outperformed statistical …

To accommodate the growth of data traffic of 6G and beyond networks, achieving a
significant improvement in spectrum efficiency is inevitable. Full-duplex systems are very …

Recently, deep neural network (DNN)-based physical layer communication techniques have
attracted considerable interest. Although their potential to enhance communication systems …

In order to improve the signal detection capability of orthogonal frequency-division
multiplexing systems, a signal detection method based on an improved LSTM network for …