Next-generation wireless sensor networks are experiencing a massive change, linking billions of equipment and millions of people. These networks are positioned as a crucial facilitator of previously unheard-of Internet of Everything (IoE) capabilities. Extended reality (XR), virtual, mixed, and augmented reality, networked autonomous systems, telemedicine, haptics, flying cars, and other services are examples of services. To allow these IoE applications, wireless systems must deliver extremely low latency, excellent dependability, and large data rates for heterogeneous devices through downlink and uplink at the same time.

Furthermore, the growing IoE services necessitate end-to-end co-design of computation, control, and communication features. Next-generation networks are anticipated to handle specific issues in order to turn wireless systems into self-sustaining and intelligent systems capable of dynamically provisioning and orchestrating computing-control-communication-storage sensing resources appropriate to the needs of IoE services. Additionally, artificial intelligence (AI) will open up a slew of new study avenues for future wireless networks. In reality, the next-generation network revolution is being driven by the huge availability of data, which is shifting from big and centralized data to dispersed, massive, and tiny data. To improve network functionality, future wireless systems must use both large and small data sets in their infrastructure. This movement encourages the employment of novel deep/machine learning techniques that go beyond traditional methods. To enable IoE applications, scalable, low-latency, high-reliability deep/machine learning models must be deployed through wireless platforms.

This Special Issue will bring together academics from business and academia to investigate current breakthroughs and studies that use AI approaches to offer IoE services in next-generation wireless networks. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• New AI-enabled next-generation wireless networks
• New models, concepts, and frameworks supporting AI for next-generation wireless networks
• AI-empowered job scheduling and management in next-generation wireless networks
• AI-enabled dynamic resource allocation for IoE services
• AI-based game theories for the Internet of Everything
• AI-enabled IoE applications: smart cities, smart e-health, smart mobility, etc
• Security issues in AI-enabled next-generation wireless networks