Modern communication systems are based on orthogonal frequency division multiplexing
(OFDM). They are designed for dealing with frequency selective channels considering …

Channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) transmission is
well investigated with model based approaches. Recent effort also explores the data driven …

This thesis investigates estimation of time-vaying multipath propagation delay parameters in
a channel estimation framework for communication systems using orthogonal …

This paper introduces a Deep Learning approach for signal parameter estimation in the
context of wireless channel modeling. Our work is capable of multidimensional parameter …

For a 5G wireless communication system, a convolutional deep neural network (CNN) is
employed to synthesize a robust channel state estimator (CSE). The proposed CSE extracts …

Featured Application This channel estimation method can be utilized to improve the
communication quality of OFDM receiver. Abstract Channel estimation is an important …

Deep learning (DL) has emerged as an effective tool for channel estimation in wireless
communication systems, especially under some imperfect environments. However, even …

Orthogonal frequency-division multiplexing has become broadly employed in modern
communication technology with wireless systems. It subdivides a radio channel together into …

Orthogonal frequency-division multiplexing (OFDM) combines the advantages of high
performance and relatively low implementation complexity. However, for reliable coherent …

Channel estimation and equalization techniques are crucial for the ubiquitous wireless
communication systems. Conventional receivers for most wireless standards preset the …