With the rapid development in communication and computation technologies, wireless networks have emerged in various applications such as embedded systems, auto-driving, video monitoring, and industrial internet of things, etc. In wireless networks, an ever-increasing number of devices are connected to the system and require a huge amount of computation and communication. However, due to limited and scarce frequency spectrum resources, interference between numerous users becomes inevitable in wireless networks. This severely deteriorates secure transmission performance and becomes the bottleneck of the security of next-generation wireless networks. Hence, a lot of researchers have put their efforts into interference management for network security.

However, several critical challenges exist in interference management and network security. One challenge is interference modeling, as interference is generally complicated depending on specific services in the network and is difficult to describe by conventional interference modeling. A further challenge is that some advanced interference management needs to be developed to intelligently exploit interference characteristics to safeguard the wireless transmission. Another challenge is that some deep learning-based transmission and reception schemes need to be devised to suppress the effect of interference to further enhance network security.

This Special Issue focuses on understanding intelligent interference management and security challenges of next-generation wireless networks and explores innovative solutions with the aid of cutting-edge technologies. Hence, original research and review articles addressing interference management, machine learning, security, trust, and privacy challenges addressing embedded systems, the internet of things, smart-grid systems, critical infrastructures, transportation systems, etc are all welcome.

Potential topics include but are not limited to the following:

• Intelligent interference management for next-generation wireless networks
• Mathematical modeling and analysis for interference
• Novel secure precoding techniques in interference environments
• Novel secure reception design in interference environments
• Physical-layer secure design for next-generation wireless networks
• Security trust and privacy protocols for next-generation wireless networks
• Threat models for the next-generation wireless networks
• Intelligent system design and implementation for next-generation wireless networks
• Novel secure network protocols for next-generation wireless networks
• Novel secure network architectures for next-generation wireless networks
• Application of intelligent services in next-generation wireless networkssecure performance evaluation, internet of things, industrial application scenarios