In wireless communication systems where the received signal model is linear with Gaussian-
distributed channel and noise, linear minimum mean square error (LMMSE) channel …

In this paper, we deploy the self-attention mechanism to achieve improved channel
estimation for orthogonal frequency-division multiplexing waveforms in the downlink …

In recent years, vehicular communication has attracted significant research attention for its
potential as a fifth generation (5G) application. The IEEE 802.11 p standard enables the …

Recently, deep learning (DL) has been emerging as a promising approach for channel
estimation and signal detection in wireless communications. The majority of the existing …

Channel estimation (CE) is a critical part for intelligent reflecting surface (IRS) aided multi-
user communication (MUC) systems. However, the cascaded channel of the IRS-aided MUC …

Channel estimation is essential to wireless network system performance. Deep Learning
(DL) has also shown considerable advances in improving communication reliability and …

Deep learning based channel estimation techniques have recently found an overwhelming
interest owing to data-driven learning-based adaptability compared to conventional …

Deep learning has solved many problems that are out of reach of heuristic algorithms. It has
also been successfully applied in wireless communications, even though the current radio …

In the IEEE 802.11 p standard, channel estimation is quite challenging in the presence of
high mobility due to rapid channel variations. Extensive research has been conducted on …

In the rapidly growing development of the Inter-net of Things (IoT) infrastructure, achieving
reliable wireless communication is a challenge. ioT devices operate in diverse environments …