Enable AIoT Service at Edge/Fog Networks in 5G/6G

#AIoT #5G #6G

Driven by the visions of the Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized cloud computing toward the concept of computing at the edge. This concept pushes the mobile computing, network control and storage to the network edges (e.g., base stations and access points), to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. End devices with high mobility (e.g., smartphones and smart cars), various emerging applications, and heterogeneous wireless network technologies of the edge incurs a critical challenge to the network management and resource allocation in the edge computing platform. With the recent advance in artificial intelligence (AI), many AI methods, like machine learning, not only are the key enablers of emerging applications but also can be utilized to overcome solve the problems mentioned above. The promised gains of computing at the edge and AI have motivated extensive efforts in both academia and industry on developing the technologies. This talk will focus on the orchestration between AI and computing at the edge. It considers AI as both the application of the edge and a technique to solve the issues of network management and resource allocation of the edge. This presentation firstly discussed current advancement in network management and resource allocation utilizing AI techniques. After that, it discussed how computing the edge can provide AI service to realize emerging IoT applications. Finally, this talk elaborated further on open research challenges