Cognitive Radio Technology

Architecture is a comprehensive, consistent set of design rules by which a specified set of components achieves a specified set of functions in products and services that evolve through multiple design points over time [1]. This section introduces the fundamental design rules by which software-defined radio (SDR), sensors, perception, and automated machine learning (AML) may be integrated to create aware, adaptive, and cognitive radios (AACRs). These SDRs will have better quality of information (QoI) through capabilities to observe (sense, perceive), orient, plan, decide, act, and learn (the so-called OOPDAL loop) in radio frequency (RF) and in the user domains. By performing this integration, we will transition from merely adaptive to a demonstrably cognitive radio (CR).
This section develops five complementary perspectives of CR architecture (CRA), called CRA I through CRA V. The CRA I perspective defines six functional components, black boxes to which are ascribed a first-level decomposition of AACR functions and among which important interfaces are defined. One of these boxes is SDR, a proper subset of AACR. One of these boxes performs cognition via the
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