AI-Native Air Interface Service for Tactical Communication Networks
- Client
- Washington, DC
- RFP Number
- AI-1074
- Posted
- —
- Category
- Artificial Intelligence and Machine Learning
- Budget
- Looking for Proposals
- NAICS
- —
- Set-aside
- —
- Contact
- —
Description
AI GeneratedThe agency is seeking an artificial intelligence system capable of dynamically optimizing networking protocols and signal modulation schemes for tactical communications. This system must operate in contested, interference-laden environments across air, surface, and subsurface domains. The project aims to solve the vulnerabilities of tactical communications under time-varying operational constraints and multi-domain threat environments. The scope of work covers adaptive networking, a flexible physical layer, integrated sensing and communications, and security mitigation. Specifically, the system must perform real-time network topology reconfiguration, self-optimizing protocols, and routing optimization based on mission parameters, node availability, and threat conditions. It must also autonomously modify waveforms, frequency, and power allocation to maximize performance. For the integrated sensing and communications component, the system must simultaneously perform sensing and communications using shared waveforms, including real-time detection and tracking of mobile nodes, obstacles, and environmental parameters. The system must operate with minimal computational overhead and maintain robust operation across heterogeneous networks. Additionally, the agency requires the implementation of real-time detection and mitigation against spoofing and protocol exploitation attacks to improve survivability, throughput, and spectrum efficiency. Eligibility is restricted to onshore United States organizations only. The agency requires the performance of the work to be conducted offsite. The agency is currently looking for proposals to determine the budget, and no key dates are specified in the sourcing details.
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