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DeepSig Inc.

Project Title:
Improving O-RAN Air-Interface Performance with Data-Driven and Generative AI Testing and Evaluation Methods

Project Purpose/Type:

A research and development program to dramatically improve the fidelity, speed, and repeatability of OpenRAN (ORAN) Air-Interface performance testing by employing data and AI to model the propagation and interference environment more accurately and efficiently. This program will create a new set of standard ORAN air-interface performance measurement tools and scenarios that will revolutionize the evaluation of interoperable ORAN components under real world conditions.

State(s):

Virginia

Award Type:
Improved Testing Methods - Radio

  • $1,492,269.00
    Federal Funding Request