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U.S. Department Of Homeland Security·District of Columbia

Advanced Communications Experiment – Cross-border Autonomous Vehicle Session Persistence Experiment and Research

Closes 5/18/2026$500k – $2MRequest for Information
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Description

The U.S. Department of Homeland Security (DHS) is hosting the 2026 Advanced Communications Experiment Cross-border Autonomous Vehicle Session Persistence Experiment and Research (ACE-CASPER) in collaboration with Defence Research and Development Canada. The experiment aims to evaluate the operational readiness and technological capabilities of 5G Session Persistence and 5G connectivity with UAS and AV systems in a cross-border emergency scenario. The primary focus is on demonstrating resilient, persistent 5G communications across U.S. and Canadian networks. Some key aspects of the experiment include: • Secure, resilient 5G session persistence, with connectivity across U.S. and Canadian border networks • Seamless command and control (C2) handoff, and real-time data interoperability • Operational readiness validation for DHS components and DRDC with State, Provincial, and Local players in cross-border coordination • Bi-national response coordination using enhanced, real-time situational awareness tools

Attached files

Contact

[email protected]

Key dates

Opened
4/27/2026
Closes
5/18/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541715
Solicitation №
70RSAT26RFI000017

Budget estimate

$500,000 – $2,000,000

The document does not provide a specific budget amount, as it is a Request for Information (RFI) and not a solicitation for a contract. However, considering the scope and complexity of the experiment, the budget could be substantial. Factors that may influence the likely payment range include the number of participants, the duration of the experiment, and the level of technological expertise required. A rough estimate for the budget could be in the range of $500,000 to $2,000,000, but this is highly speculative and may not reflect the actual budget.

AI estimate from the solicitation

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