In this paper, we study the optimal training design for multiple-input multiple-output (MIMO)
amplify-and-forward (AF) two-way relay systems in the presence of interference. In order to …

It is crucial to consider time-critical communications in cognitive-radio-based Internet of
Things (CR-IoT), which increasingly rely on the exchange of short-packet information to …

In this paper, we propose a novel Average autoencoder (AE)-based amplify-and-forward
(AF) relay networks impacted by the I/Q imbalance (IQI) and additional hardware …

In this work, we design an end-to-end (E2E) learning-based two-way amplify-and-forward
(TWAF) relay network in the presence of I/Q imbalance (IQI) by maximizing the generalized …

In this article, we propose an efficient deep-neural-network-based relay selection (DNS)
scheme to evaluate and improve the end-to-end throughput in wireless-powered cognitive …

In recent years, wireless node density has increased rapidly, as more base stations, users,
and machines coexist. Exploiting this node density, cooperative relaying has been deployed …

This work investigates the multiple-input multiple-output system in the context of the
selective decode-and-forward multihop relay network under short-packet communications to …

In order to support a massive number of resource-constrained Internet of Things (IoT)
devices and machine-type devices, it is crucial to design future beyond 5G/6G wireless …

In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR)
system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid …