The essential criteria of wireless communication system are accurate signal identification.
The channel assessment and adjustment are the two most critical mechanisms for signal …

In wireless communication systems, channel estimation is one of the vital processes for
determining channel characteristics. Deep learning based approaches construct a 2D image …

In this paper, a simplified deep neural network is proposed, which can be used for channel
estimation and signal detection in OFDM system and reduce complexity. To be specific, the …

In various practical orthogonal frequency-division multiplexing (OFDM) systems, the
estimation accuracy at the receiver is challenging, and, specifically when operate over time …

Higher transmission rate is one of the technological features of prominently used wireless
communication namely Multiple Input Multiple Output-Orthogonal Frequency Division …

This letter presents our initial results in deep learning for channel estimation and signal
detection in orthogonal frequency-division multiplexing (OFDM) systems. In this letter, we …

Deep Learning has rendered overwhelming potential to support the rising interest of high
dependability and maximum capacity wireless communication systems. Channel estimation …

In this paper, we propose a deep learning based algorithm for downlink channel estimation
for 5G new radio. The channel estimation block in the downlink plays an important role in …

This paper studies the performance of deep learning (DL) for the identification of analog and
digital modulation in orthogonal frequency-division multiplexing (OFDM) based wireless …