AI-Native Air Interface Service for Tactical Communication Networks

The United States Navy is seeking an artificial intelligence system capable of dynamically optimizing networking protocols and signal modulation schemes for tactical communications in contested, interference-laden environments. The agency needs this system to operate across air, surface, and subsurface domains while maintaining robust operation across heterogeneous networks. The system must function with minimal computational overhead and deliver measurable improvements in survivability, throughput, and spectrum efficiency under multi-domain threat conditions. The scope of work requires adaptive networking capabilities, including real-time network topology reconfiguration, self-optimizing protocols, and routing optimization based on mission parameters, node availability, and threat conditions. The agency also requires a flexible physical layer that autonomously modifies waveforms, frequency, and power allocation to maximize performance under time-varying operational constraints. Additionally, the system must perform integrated sensing and communications using shared waveforms, which includes real-time detection and tracking of mobile nodes, obstacles, and environmental parameters. Finally, the system must implement real-time detection and mitigation against spoofing and protocol exploitation attacks. Eligible bidders must be onshore organizations based in the United States. The agency specifies that performance of the work will take place offsite. The agency is currently looking for proposals to determine the budget, and no specific key dates or evaluation criteria are provided in the source.