Reconfigurable intelligent surface (RIS) assisted wireless systems require accurate channel
state information (CSI) to control wireless channels and improve both the bandwidth and …

This study uses deep learning (DL) techniques for pilot-based channel estimation in
orthogonal frequency division multiplexing (OFDM). Conventional channel estimators in pilot …

Channel estimation (CE) in internet of things (IoT) systems faces challenges of low spectral
efficiency, high energy consumption, and blocked propagation paths. To address these …

In fifth-generation and beyond (5GB) wireless communication systems, Cloud Radio Access
Network (C-RAN) is recognized as a vital technology. In this endeavor, User-Centric C-RAN …

In this correspondence, we address the identification of widely linear (WL) systems using
data-dependent superimposed training (DDST). The analysis shows that the nonlinear …

Index Modulation (IM) is a flexible transmission scheme capable of striking a flexible
performance, throughput, diversity and complexity trade-off. The concept of Multi …

Due to the interdependency of frame synchronization (FS) and channel estimation (CE), joint
FS and CE (JFSCE) schemes are proposed to enhance their functionalities and therefore …

In wireless communication, the channel function estimated commonly has errors due to the
influence of noise, so traditional channel estimation methods cannot accurately estimate the …

This letter presents a pioneering method that employs deep learning within a probabilistic
framework for the joint estimation of both direct and cascaded channels in an ambient …

正交频分复用系统中, 用于信道估计的导引占用宝贵的传输资源且消耗用户设备发射机能量.
为应对这一困境, 提出差分检测与神经网络相结合的信道估计方法. 在发射端 …