Federal grant · project grant (b)
Purpose: the Goal of This Project Is Advancing the Rapid Growth and Deployment of Massive Multiple Input, Multiple Output (MMIMO) Open Radio Units (o-rus) Into Current and Future Networks. Activities to Be Performed: Multiple Trades Will Be Studied to Determine How Network Beamforming (NBF) Will Be Implemented While Keeping the O-ru Performance Within Specifications. Requirements for the Demonstration of NBF Will Be Determined, Specifically, Details on Channel Estimation, Beamforming Weight Calculation and Equalization as Well as Fronthaul Requirements Will Be Studied. Additionally, the Deepsig Omniphy Neural Receiver Will Be Ported to Operate on Reference Hardware Provided by Qualcomm and Fujitsu. Expected Outcomes: the Result of This Program Will Be a Prototype Manufacturing Readiness Level (MRL) 4) With the Manufacturing Risk That Hardware Changes Could Be Required to Process All Mmimo Layers. Deepsig, Fujitsu, and Qualcomm Are All Commercially Focused and Have the Resources to Rapidly Transition Research to Commercial O-rus. the Project Enables O-ru and Chipset Vendors to Implement Advanced Artificial Intelligence (AI) Functions to Engender a Healthy and Cost Competitive Mmimo O-ru Ecosystem. Additionally, Deepsig Expects This Work to Make Ai Enhancements Available Industrywide. Intended Beneficiaries: Deepsig Will Collaborate With Project Partners and Others in Oran and 3GPP Standardization Efforts to Make Ai/machine Learning (ML) Enhancements Available Industrywide. Standardization Will Enable More Vendors to Operate in the Telecom Space and Support Small Business Efforts. Subrecipient Activities: Deepsig Does Not List Any Subrecipients in Their Application.
Committed
$10.0 Million
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