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AI-RAN Prototype Project

Request for White Papers

THIS PROJECT IS CLOSED FOR WHITE PAPER SUBMISSIONS
SOLUTIONS OVERVIEW INFORMATION

PROJECT OPPORTUNITY TITLE: Artificial Intelligence–enabled Radio Access Network (AI-RAN) Prototype Project

PROJECT SPONSOR: DEVCOM United States Army Research Lab (ARL) and Office of the Under Secretary of War for Research and Engineering Manufacturing Technology Program (OUSW(R&E)/ManTech) United States Combat Capabilities Development Command Army Research Laboratory (DEVCOM ARL) and the Office of the Undersecretary of War for Research and Engineering [OUSW(R&E)]

ANNOUNCEMENT TYPE: Request for White Papers

PROJECT OPPORTUNITY NUMBER: APEX-RWP-008-AI-RAN

IMPORTANT DATES [All times listed herein are Eastern Time (ET)]

  • Coming Soon Announcement Posting Date: 4/25/2026

  • Draft Solicitation Posting Date: 5/5/2026

  • Request for White Papers Posting Date: 5/14/2026

  • Questions Due: NLT 5/18/2026, at 5:00 PM

  • Virtual Industry Day Date: N/A

  • White Papers(s) Due Date/Time: NLT 10:00 AM, 5/21/2026

PROJECT DESCRIPTION

The Government is seeking solutions to develop and demonstrate a prototype Artificial Intelligence–enabled Radio Access Network (AI-RAN) capability for resilient edge processing that integrates communications, sensing, and edge computing within operational environments. No validated AI-RAN-based sensing solution currently exists that operates across controlled, commercial Mobile Network Operator (MNO), and dense operational environments while maintaining telecommunications KPI compliance and enabling integration with layered C2 systems.

This effort will deliver a mission-ready, scalable Minimum Viable Capability (MVC) prototype capable of detecting, identifying, localizing, and tracking low-altitude airborne threats in real time while maintaining communication performance.

Solutions will leverage modular, open architectures and be demonstrated through a phased, incremental approach, progressing from controlled validation to commercial network integration using Digital Twin and continuous integration and continuous deployment (CI/CD) practices.

The effort will follow a multi-phase, incremental integration approach, supported by Digital Twin testing and CI/CD practices, progressing from controlled validation to commercial network integration. It is anticipated that Phase I will be a single award for up to $20M.

The effort will culminate in a prototype Artificial Intelligence–enabled Radio Access Network (AI-RAN) demonstrating technical performance and operational utility, with a clear pathway to transition, scalability, and potential follow-on production.

The AI-RAN Secure Slicing Prototype Project is UNCLASSIFIED..

ANTICIPATED FUNDING

The Government anticipates that Phase I costs will not exceed $20M. The Government has current funding for Phase I. Funding for subsequent option phases has not yet been determined and will be subject to the availability of funds.

POINTS OF CONTACT

JETX Consortium Manager

info@techaccelerator.us

Subject Line: APEX-RWP-008-AI-RAN

RWP DOWNLOAD INSTRUCTIONS

To view and download the entire AI-RAN prototype project RWP to include the associated attachments, click on the button below. As a reminder, to access the documents you must be a paid member in good standing in the Advanced Prototyping and Experimentation (APEx) Consortium and be a member in good standing in the Tech Accelerator Community. If you are not a paid member in good stadning you can start and complete the application process at www.techaccelertor.us/membership.



SOLUTIONS SUBMISSION INSTRUCTIONS

Submit your white paper(s) for this opportunity by clicking the button below. As a remider, you must be a paid member in good standing in the Advanced Prototyping and Experimentation (APEx) Consortium and be a member in good standing in the Tech Accelerator Community.



Submit questions or feedback regarding this opportunty to info@techacclerator.us.

Joint Experimentation and Technology Accelerator

877-675-JETX (5389)

info@techaccelerator.us

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