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Robust Resource Allocation in an Air Operational Model and Robust Tasking of Wireless Airborne Networks

机译：空中作战模型中的鲁棒资源分配与无线机载网络的鲁棒任务

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The focus of our effort is to study issues regarding robust resource allocation in air operations and robust tasking in wireless airborne networks. For the robust resource allocation, model uncertainties are considered in the generation of a state-based control policy at the strategic level in an air operation. A generic model is used to explain the aspects of modeling, control design, and implementation. Uncertainties are introduced into the transition- rates of the strategic model. A robust and constrained bilinear control problem defined on a probability simplex is solved approximately using a receding horizon control scheme. To achieve robust tasking of wireless airborne networks, we have set up a multiple objective cross-layer optimization framework to compare various multi-hop clustered cooperative transmission schemes. Within this framework, parameters such as cluster size, transmission power and hop patterns can be optimized to enhance signal-to-noise plus interference ratio (SINR), transmission throughput and antijamming capability, under the constraint on ISR coverage and network reliability. Our analysis and simulation results indicate that the optimization is in favor of smaller cluster size and shorter transmission distance.

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