The futuristic vision of 6G — whether its agentic devices, mobile robots or RF sensing — starts with much more prosaic requirements The mobile industry’s experience with 5G offers a useful …
Analyst Angle
- Analyst Angle
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Operators will scale 6G deployment when it lowers the cost of carrying more traffic, creates new revenue, or both The telecommunications industry can increasingly put a date on 6G, but …
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The killer app for 6G won’t be an app at all The search for a 6G “killer app” is the wrong approach to understanding the potential future impact of next-generation …
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6G needs substantially more spectrum, but its commercial viability will depend on finding frequencies that deliver wider channels without forcing operators to abandon the economics of the existing macro network …
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With IMT-2030 requirements defined and 3GPP resolving foundational design choices, the industry is moving from 6G vision to specifying an implementable system The 6G conversation is moving from vision-setting into …
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In 5G, AI is an overlay focused on optimization; in 6G, AI will be embedded end-to-end “AI-native” is now a part of the standard vocabulary around 6G. But the mobile …
- Analyst Angle
Research note: Qualcomm’s 6G strategy connects the compute continuum from device to data center
Editor’s note: Qualcomm provided travel, lodging and other accommodations associated with 6G Leadership Day. Qualcomm’s diversification, rooted in its pedigree of low-power, connected computing, is expanding from a wide range …
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AI-RAN combines openness and cloud-native infrastructure to create a more intelligent, programmable radio access network The radio access network (RAN) is entering another major period of change, but this time …
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Operators are pushing toward 400G, 800G and 1.6T optical networking, but AI workloads are also increasing the importance of deterministic performance, power efficiency, telemetry and automation The first requirement AI …
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Distributed inference, agentic AI and physical AI are changing the shape of network traffic Training frontier AI models is fundamentally a problem of concentration. Thousands of accelerators are assembled into …