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AI-Native Communications

Challenge

5G relies on receiver algorithms using reference and data signals to accurately recover transmitted information after wireless transmission. However, this process may be disrupted by interference, environmental noise, and other link issues that degrade the channel estimation and equalization process.  This can lead to reduced performance, capacity, and spectral efficiency.

OmniPHY-5G

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OmniPHY-5G vRAN neural network upper PHY, DeepSig’s high performance drop-in replacement for FlexRAN™’s standard upper PHY.

Overcome Next-Gen Challenges

Move from a high energy usage to reduced carbon footprint.

Expand from low to high throughput rates, and meet user expectations for interactive video, fast streaming, and rapid downloads.

Go from low to high performance 5G RAN with DeepSig’s drop-in replacement for FlexRAN™’s standard upper PHY.

Shift from an inefficient spectrum to a higher spectral efficiency and increased capacity for OpenRAN.

How we solve your challenges

Improved Channel Estimation and Equalization

Improve the user experience by upgrading FlexRAN with a neural network upper PHY trained on a wide range of signals and link conditions leading to higher throughput and fewer errors.

Improved User Experience

Improve the user experience by upgrading FlexRAN’s native upper PHY with a neural network upper PHY trained on a wide range of signals and link conditions to offer superior channel estimation and equalization to provide a higher throughput, fewer errors and more.
AI and ML based innovation
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