In this letter, we present a deep learning algorithm for channel estimation in communication
systems. We consider the time-frequency response of a fast fading communication channel …

Orthogonal frequency division multiplexing (OFDM) provides a promising modulation
technique for underwater acoustic (UWA) communication systems. It is indispensable to …

Aiming at the problem that the downlink channel estimation performance is limited due to the
fast time-varying and non-stationary characteristics in the high-speed mobile scenarios, we …

The dense deployment of small cells in 5G cellular networks raises the issue of controlling
downlink inter-cell interference under time-varying channel states. In this paper, we propose …

A system and method of operating an Internet of Things (IOT) device and an IOT manager
device. The method includes determining, during operation of the IOT device in a low power …

The main subject of this paper is the sensing of network anomalies that span from harmless
impedance changes at some network termination to more or less pronounced electrical …

The advancement in wireless communication applications encourages the use of effective
and efficient channel estimation (CE) techniques because of the varying behaviour of the …

Recently, in order to achieve performance improvement in scenarios where the channel is
either unknown, or too complex for an analytical description, Neural Network (NN) based …

Sparse Bayesian learning (SBL)-based approximately sparse channel estimation schemes
are conceived for space-time trellis coded (STTC) multiple-input multiple-output (MIMO) …

This paper analyzes the impact of non-Gaussian multipath component (MPC) amplitude
distributions on the performance of Compressed Sensing (CS) channel estimators for OFDM …