MUOS Communication Optimizer and Quick Planner

The U.S. Navy is searching for techniques and algorithms that allocate and assign beam frequencies in a manner that maximizes satellite bandwidth and throughput in both an efficient and optimal manner. The approach the Navy is taking to address these problems is two-fold. First, there is a desire to provide a technology that guides the communications planner in identifying optimal beam-carrier frequency assignments. Second, there is a desire to provide a quick planner that provides for a fast and efficient analysis of capabilities when designing a particular apportionment. For the Phase I effort, the RAM Laboratories-Accenture Team (RAM Labs Team) will develop a design for both the optimization algorithms and the quick planning algorithms. The optimization algorithms will investigate the use of genetic algorithms and simulated annealing approaches to drive an optimization approach that utilizes legacy frequencies apportionment algorithms as the central “model-of-choice”. For the quick planning algorithms, the RAM Labs Team will take the legacy algorithms and investigate a variety of model abstraction approaches that can be used to develop the quick planning capability. A proof-of-principle will be demonstrated to the customer to illustrate the efficiency of our approach.