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Qualcomm and Nokia Bell Labs Collaborate on Wireless AI Interoperability

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  • Qualcomm and Nokia demonstrated AI model interoperability in wireless networks
  • Sequential learning improved network training, channel state feedback, and data throughput
  • AI models showed robustness in diverse environments and outperformed legacy approaches
  • Collaboration suggests enhanced wireless network performance with multi-vendor AI systems
360 summary
  • The implementation of AI-enhanced channel state feedback resulted in performance gains ranging from 15% to 95%, depending on the location of the moving user.
  • Qualcomm's new MIMO system designs are capable of supporting new spectrum in the upper midband, providing approximately 400 MHz of new wide-area bandwidth and significant throughput gains.
  • The tests conducted by Qualcomm demonstrated coverage comparable to sub-7 GHz bands, showcasing the company's focus on improving capacity in telecommunications.
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  • The collaboration studied the performance of a common AI model trained with diverse datasets in different physical environments.
  • They found that the common AI model showed comparable performance to hyper-local models in diverse scenarios.
  • The adaptation of the common model to new scenarios, like Indoor Site 2, demonstrated its robustness in handling various environments.
venturebeat.com
  • The AI-enhanced channel state feedback enables the network to transmit in a more precise beam pattern, leading to improved received signal strength.
  • By reducing interference, the AI feedback contributes to higher data throughput, as demonstrated through per-location throughput gains ranging from 15% to 95%.
  • Results suggest that commercial systems utilizing AI-enhanced CSF will consistently achieve higher throughput compared to legacy approaches.
venturebeat.com
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