In the first Phase, IFT and its partner GMU developed an innovative Harness Enhanced Awareness for Radio Systems (HEARS) framework and technical underpinnings for DSA systems operating under conditions of imperfect knowledge, and use the framework to address challenging problems in satellite communication (SATCOM). As the logical core of the HEARS, Multi-Entity Bayesian Network (MEBN) models for SATCOM were developed and implemented using Netica Bayesian Network (BN) APIs. The developments bring the power of information fusion, probabilistic inference and reasoning for decision making under uncertainties to SATCOM systems, which allows more reliable in-situ decisions under a broader range of scenarios and avoids performance loss. An “SATCOM BN Analysis Tool” was developed which integrates SATCOM simulation, BN based decision makings and 3D visualization. The Phase I effort has provided convincing results of proof-of-concept designs that enable further technology transition. In Phase II, our main objectives include: i) extend the core SATCOM MEBN to accommodate more DSA scenarios and applications, ii) fully implement the HEARS framework with hardware-in-loop emulation in realistic Virtual RF Environment for extensive performance evaluation, design optimization and demonstration, and iii) further advance the technologies towards practical applications such as controlling an L-3 SATCOM Modem for space communication.