Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

Most of the consensus-based task allocation algorithms assume reliable and unlimited
communication between the agents. However, this assumption can be easily violated in real …

The growth of artificial intelligence opened several horizons and fields that made
researchers more curious about the progress in this field, especially the growth of deep …

Traditional wireless communication theory is based on complex probabilistic models and
fixed conjectures, which limit the optimal utilization of spectrum resources. Deep learning …

Recently, deep neural network (DNN)-based physical layer communication techniques have
attracted considerable interest. Although their potential to enhance communication systems …

Unmanned aerial vehicles (UAVs) are considered to play vital roles in the Sixth Generation
(6G) networks and beyond. However, the confidentiality of UAV communication is sensitive …

Deep Joint transmitter-receiver optimized communication system (Deep JTROCS) is a new
physical layer communication system. It integrates the functions of various signal processing …

The field of wireless communication systems has experienced significant advancements in
recent years, leading to the emergence of two promising technologies: non-orthogonal …

The propagation of wireless networks in e-business applications demands efficient and
robust anomaly detection techniques to ensure data security and reliable communication. A …

In this paper, we propose a radar signal modulation algorithm to recognize three different
radar signals amidst other wireless communication waveforms, including Barker, linear …