Latest 6G and AI news, analysis, and industry updates.
AI-RAN moves machine learning from network operations into the real-time control plane, reshaping scheduling, beam management, and resource allocation. It is widely expected to become a foundational layer of 6G architecture.
AI-RAN embeds machine learning into radio access network scheduling, beam management, and resource allocation, promising lower latency, reduced energy use, and a shift toward software-driven, multi-vendor RAN architectures.
A deep dive into how machine learning algorithms will power real-time network slicing in 6G, enabling ultra-customized service delivery.
An analysis of how sub-terahertz frequencies behave in real-world environments and how AI models can predict and optimize signal propagation.
A revolutionary approach to 6G communication where AI models transmit semantic meaning rather than raw data, dramatically reducing bandwidth requirements.
Researchers propose AI-designed waveforms that go beyond traditional OFDM, using deep learning to optimize air interface parameters in real time.
The latest iteration brings significant improvements to logical reasoning, code generation, and multi-modal understanding.
From automated troubleshooting to predictive maintenance, these AI tools are transforming how network engineers work.
Deutsche Telekom deploys OpenAI's models to revolutionize customer service with natural language understanding and autonomous problem resolution.
An in-depth survey of how deep learning techniques are revolutionizing wireless channel estimation for 5G and future 6G systems.
How leading US carriers are implementing MLOps pipelines to deploy and manage AI models across their network infrastructure.
Samsung's AI research center introduces a novel algorithm that allows mobile networks to automatically detect and repair faults without human intervention.