Research Issues and Challenges in AI-Embedded 6G Network Architecture
George Washington University · Sharda University · +1 more institution
Abstract
G will have extensive features of AI not only in providing AI-based services to users, but also in managing 6G networks making it more intelligent through its embedded AI tools. It will facilitate to implement AI-driven services using massive sensors and IoT devices. Native AI embedded in 6G network architecture will help optimize the spectrum, resources and performance in real-time. AI will make 6 G an autonomous network being self-organizing, self-healing and self-managed. The AI-driven applications are useful in sensing, industry automation, smart city and healthcare. We present the 6G network architecture for different sliced networks like sensing, IoT, distributed computing and satellite integrated 6G…
Citation impact
- FWCI
- 27.51
- Percentile
- 100%
- References
- 12
Authors
4Topics & keywords
- Architecture
- Computer science
- Computer architecture
- Network architecture
- Computer network
- History