Conference: https://cyberc.org/
Special issue: https://www.mdpi.com/journal/electronics/special_issues/50YTSRRU0K

AI has transformed many areas, including that of wireless communication. It has significantly improved the performance of wireless system design, wireless sensing, and wireless security. In collaboration with CyberC 2024, this Special Issue aims to promote discussion on fundamental and practically relevant questions related to the challenges arising from deep learning in wireless communications, sensing, and security. We seek to publish studies pertaining, but not limited to, advances in AI/ML and deep learning in relation to the following:

Spectrum/signaling sensing, fusion, decision making, and allocation;
Signaling process, PHY/link layer protocols, and optimization;
Resource optimization, network, and distributed network computing;
Dynamic spectrum access, spectrum sharing, and spectrum management;
AI/ML for cognitive radio networks;
VNF/SDN (NFV, VIM, VNFs, service function chaining, network slicing, and Open Flow);
Quantum communications and network computing resources;
Sensor networks, mesh networks, MIMO, and 6G;
Edge computing, IoT connectivity, and energy harvesting;
Industrial IoT, e.g., manufacturing, logistics, and supply chain;
Industry control network, networking theory, and algorithms;
Wireless embedded sensor systems, body sensor, smart cities, and security;
Cognitive radio and soft defined radio;
Future-generation communications and pervasive computing;
Peer-to-peer network computing and overlaying networks;
Directional antenna and networking;
FDMA/OFDMA modulations, synchronization, and power optimization;
Security and privacy, attacking models, and confidentiality and security in communications;
Services, middleware, and multimedia on wireless networks;
QoS, reliability, performance, and communication theory;
Wireless network simulations, implementation, and applications;
Edge AI for wireless communications, sensing, and security;
Intelligent reflection surfaces, semantic communication, unmanned aerial vehicles, satellites, and digital twins;
Integrated sensing and communications;
Adversarial attacks and defenses on AI-based wireless communication, sensing, and security.