Artificial Intelligence, Machine Learning Transformative for Cellular Nets: 5G Americas
Artificial intelligence and machine learning (AI and ML) have “transformative potential” for 5G networks, according to a white paper from 5G Americas.
“Artificial Intelligence in Cellular Networks” says that AI and ML can play a pivotal role in driving efficiency, scalability, and innovation in these networks. The white paper is the first in a series. It focuses on the use of AI to enhance network reliability, optimize resource utilization and foster innovation.
The document covered several areas of interest:
- Layered analysis: AI enhances network performance at every layer, from optimizing signal quality and spectral efficiency in the physical layer (L1) to enabling advanced mobility management and dynamic resource allocation in data link (L2) and network (L3) layers.
- Cross-layer processes: AI facilitates end-to-end network optimization, including intent-driven networking and lifecycle management. This ensures cohesive and efficient telecommunications ecosystems.
- RAN innovations: AI enhances radio access networks (RAN). This includes applications in Open RAN architectures that leverage RAN Intelligent Controllers (RIC) for network programmability and resource optimization.
- Generative AI in telecom: Generative AI is redefining telecommunications with innovations such as intent prediction, synthetic data generation, and dynamic customer interaction. Advanced use cases include OSS/BSS automation, troubleshooting and semantic communication for more efficient data transmission.
- Responsible AI: The paper underscores the importance of trustworthy practices, emphasizing transparency, explainability, and privacy in AI deployment. It advocates robust monitoring systems, bias mitigation and ethical design principles to ensure AI-driven networks maintain public trust and operational reliability.
“Artificial intelligence is transforming cellular networks by enabling dynamic, agile decision-making and adaptive operations to address the growing complexity of 5G systems while laying the foundation for beyond 5G and 6G technologies,” Dr. Christina Chaccour, the Emerging Network Tech and AI Manager at Ericsson and co-leader of the working group, said in a press release about the white paper.