With the continuous development of the internet, big data, artificial intelligence, cloud computing, blockchain, and other technologies, new business formats and new models are emerging. This accelerates the development of society and the digital economy and promotes the generation of huge amounts of data, which in turn causes higher requirements for communication rates and computing capacity. With the development of wireless communication networks from 5G to 6G, performance indicators such as Tbps-level communication rate, sub-millisecond transmission delay, trillions link scale, and an oversized advanced computing capacity have been continuously improved to adapt to new scenarios.

However, the existing network is still facing a series of challenges, such as a lack of a unified network structure, user-centered services, and scenario diversification, and further research is urgently needed to address these challenges. Future generation wireless communication networks are leading the intelligent informatization of society and are forming ubiquitous communication networks that integrate communication, sensing, and computing. These are characterized by data diversification, business diversification, communication system diversification, and computing diversification. Existing networks will inevitably face problems, such as redundant network architecture, inefficient resource management, and unbalanced task loads. It is difficult to achieve a high degree of communication coordination, perception, and computing and storage resources across the whole network. Therefore, it is necessary to integrate big data, cloud computing, artificial intelligence, and other technologies into future generation wireless communication networks, ensuring that these networks have greater information capacity, higher communication rates, lower transmission delay, a higher number of connections, and higher frequency spectrum efficiency and energy efficiency, so as to adapt in future to complex and changeable service types and application scenarios.

This Special Issue aims to solicit original research and review articles on the architecture, algorithms, and applications of future generation wireless communication networks. We hope to provide a platform for researchers in academia and industry to display current cutting-edge results.

Potential topics include but are not limited to the following:

• Overview of development trends in future generation wireless communication technology
• Emerging technologies, methods, and applications of future generation wireless communication networks
• Intelligent network architecture for future generation wireless communication networks
• Intelligent resource allocation theory for future generation wireless communication networks based on artificial intelligence
• Future mobile social network modeling and social attribute mining based on system science and complex networks
• Communication network architecture and resource allocation for future intelligent internet of vehicles
• Integration technology for communication, sensing, caches, and computing in future generation wireless communication networks
• Cloud/edge computing for satellite–aerial–terrestrial networks
• Application of artificial intelligence in wireless communication
• Beyond 5G/6G network wireless technologies, such as non-orthogonal multiple access (NOMA), massive multiple-input and multiple-output (MIMO), physical layer security, millimeter-wave communication, cognitive radio, cooperative communication, energy harvesting, and efficient resource allocation strategies
• Internet of Things wireless network technologies, such as big data, artificial intelligence, deep learning, multimedia cooperation communication, resource management, security, privacy and reliability, and social media communication