Optimized Persistent Scheduling for Smart Jamming Resiliency in Manned-Unmanned Teaming

This work addresses control information loss in manned-unmanned teaming networks. We consider methods for mitigating smart jammers that target control channels to disrupt transmission scheduling and degrade communication. In this context, the well-studied Max-Weight algorithm achieves throughput optimality without prior knowledge of arrival rates, but its performance in the presence of control information jamming is under-explored. We propose two novel scheduling policies, VFMW-OS and VFMW-HS, to improve network resilience. VFMW-OS dynamically adjusts the control-information coding rate to overcome jamming of the control channel. Likewise, VFMW-HS opportunistically switches between centralized and decentralized scheduling based on the network's queue lengths to further adjust the rate at which control information is exchanged so as to minimize delay. Simulations show both policies enhance robustness and reduce delay under adversarial conditions.