Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …

Future wireless systems are trending towards higher carrier frequencies that offer larger
communication bandwidth but necessitate the use of large antenna arrays. Signal …

In this letter, we examine the PHY layer secret key generation (PHY-SKG) scheme in the
presence of man-in-the-middle (MiM) adversary, while legitimate parties suffer from …

Wi-Fi systems based on the IEEE 802.11 standards are the most popular wireless interfaces
that use Listen Before Talk (LBT) method for channel access. The distinctive feature of a …

Two of the main principles underlying the life cycle of an artificial intelligence (AI) module in
communication networks are adaptation and monitoring. Adaptation refers to the need to …

Deep neural networks (DNNs) have made significant strides in tackling challenging tasks in
wireless systems, especially when an accurate wireless model is not available. However …

Machine learning (ML) starts to be widely used to enhance the performance of multi-user
multiple-input multiple-output (MU-MIMO) receivers. However, it is still unclear if such …

Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …

Deep learning (DL) has exhibited immense potential across several domains, including
image classification, speech recognition, and language translation, among others …