AiRANACULUS, Northeastern University and NWRA supported by DRAPER propose an innovative Cross-layer Wide-Band Cognitive Communications Architecture Enabled by Intelligent Direct Digital Transceiver (CLAIRE) to meet the NASA#39;s Space Communication and Navigation (SCaN) needs to increase mission science data return, improve resource efficiencies for NASA missions and communication (Comms) networks and ensure resilience in the unpredictable space environment. The CLAIRE cognitive system is envisioned to sense, detect, adapt, and learn from its experiences and environment to optimize the Comms capabilities for the user mission of the network infrastructure. Our Comms Node will reduce both the mission and network operations burden. This will entail research and development ofnbsp;Cross-layer Sensing (CLS) and the CLAIRE Decision Engine (CDE) which uses machine learning over short term and long term along with game theoretic decision to define the strategy and technique to mitigate the interference and restore the network performance. The CLS consists of RF sensing and Cyclostationary-Signal Processing analysis, Cross-layer Feature Extraction and Environment Characterization and Pattern Classification Modules. The CDE consists of the Long-term Response Engine which is driven by the Game-theoretic approaches, and the Rapid Response Engine, which is driven by Deep Reinforcement Learning (DRL) techniques. We propose to use ofnbsp;Supervised DRL Model Selection and Bootstrap for rapid bootstrapping. Finally, we also propose tonbsp;conduct research into new state-of-the-art Direct Digital Transceiver (DDTRX) Technologies for potential application for NASArsquo; s mission. Latest advances in the DDTRX Technology provide sampling rates of 64 Gsps, instantaneous bandwidths of 20 GHz with four coherent channels and 8-bits per sample of quantization. This allows us to use any spectrum from VHF/UHFnbsp;to Ku/ Ka Band on a single radio which will reduce the SWAP and could be of great interest to NASA.