AI-RAN
PulseAugur coverage of AI-RAN — every cluster mentioning AI-RAN across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Nokia, NVIDIA achieve 20% spectral efficiency gain in AI-RAN trials
Nokia and NVIDIA have conducted live trials of AI-RAN technology, achieving a 20% increase in spectral efficiency. This advancement in software-defined radio algorithms raises questions about sustained performance throu…
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New OCUDU dApp platform enables real-time AI in 5G distributed units
Researchers have introduced the OCUDU dApp platform, an open runtime designed for real-time AI applications within 3GPP 5G distributed units. This platform allows independently developed software to execute directly on …
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NTT DOCOMO and Samsung Validate AI-RAN for Network Optimization
NTT DOCOMO and Samsung have successfully validated AI-RAN technology, a system designed for user-level network optimization. This advancement aims to improve predictive operations within telecommunications networks. The…
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New research explores LLM efficiency and reasoning improvements
Several research papers explore methods to enhance the efficiency and reliability of large language models (LLMs). Hugging Face's LFM2.5-DSpark demonstrates up to 3.2x faster inference speeds by using speculative decodi…
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Nokia and Nvidia unveil AI-driven wireless network platform
Nokia and Nvidia have jointly developed the first commercial AI-driven wireless access network (AI-RAN) platform. This new platform is expected to enable telecom network operators to double the data transmission capacit…
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Nokia launches AI-RAN platform with NVIDIA to boost spectral efficiency · 2 sources tracked
Nokia has launched its AI-RAN platform, a new radio architecture developed in partnership with NVIDIA. This platform aims to significantly increase spectral efficiency, potentially doubling capacity from existing spectr…
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AI-RAN workloads successfully run on NPUs, bypassing traditional baseband chips
Researchers have demonstrated that Neural Processing Units (NPUs), typically used for AI inference, can effectively handle wireless baseband processing tasks. By reconstructing communication algorithms to align with NPU…
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AI-RAN conflict monitoring uses explainable dependency tracking
Researchers have developed a new method for monitoring dependencies in AI-integrated Radio Access Networks (AI-RAN). This system tracks interpretable dependency representations from telemetry events to detect conflicts.…
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New AI framework GUIDE improves cross-band channel prediction for wireless networks
Researchers have developed GUIDE, a novel physics-guided deep unfolding framework for AI-native Radio Access Networks (AI-RAN). This framework embeds wireless channel physics into differentiable layers, enabling practic…