Machine Learning (ML) Augmented Communication Techniques for Secure Mobile Heterogeneous Wireless Networks and Safety Critical Networks

Dear Colleagues,

The demand for the Always Best Connected (ABC) paradigm is evolving throughout the life cycle of communications and the digital entertainment industry. Today, with the sky-rocketing demands of digitally connected life globally, more bandwidth is needed than ever. The advent of technologies such as 4G, 5G and 6G is contributing considerably to fulfilling the data speed demand, but the extent of their coverage represents a barrier to these technologies. Several solutions have been proposed by researchers around the world to overcome the limitations of individual radio access technologies such as cognitive radios, collaborative radio resource management, heterogenous wireless communications networks etc., with the assistance of Artificial Intelligence (AI), machine learning (ML), and new technologies such as software-defined networking (SDN), etc. The amalgamation of different radio access technologies, AI/ML, SDN, and other new technologies introduces a large number of benefits but comes with the price of new cybersecurity vulnerabilities and new additions and upgrades in the architecture and protocol stacks.

This Special Issue aims to address issues that are involved in the analysis, design, and implementation of different communication layers featuring in a heterogeneous wireless network for seamless mobility, security, and resource allocation augmented with AI/ML, SDN, and other new technologies, including techniques that can help to secure this communication.

This includes:

• Heterogeneous wireless networks;
• Seamless mobility in heterogeneous wireless networks;
• Satellite communications;
• Vehicular communications networks based on software-defined networks;
• AI/ML-assisted radio link selection;
• Channel design and coding;
• AI/ML-assisted cybersecurity for heterogeneous wireless networks;
• Mobility protocols for fast moving vehicular communications networks;
• SDN-assisted security architecture for heterogeneous wireless networks;
• Link selection in multi-link node wireless networks;
• Handovers in wireless networks;
• Load balancing in wireless networks;
• Network management;
• Encryption techniques for transmitter and receiver design;
• Cybersecurity.

Dr. Rameez Asif
Dr. Muhammad Ali
Guest Editors

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• encryption techniques
• wireless networks
• AI/ML
• SDN
• link selection