TEMPORAL REASONING IN A COGNITIVE RADIO SYSTEM

Understanding and reasoning over time is a critical enabling technology for intelligent machine behavior. Actions, states, and observed events can be modeled within the context of temporal events and their relationships. This enables the construction of temporal patterns that may be used by cognitive radio systems to proactively adapt and reconfigure themselves based on situational state. By providing a common temporal reference system, experiential knowledge can be shared between radio systems through the abstraction and propagating temporal patterns. Temporal reasoning can also be used to extend the robustness of radio environment maps. This paper explores qualitative and quantitative temporal reasoning within a radio system. A key aspect is a compact representation and efficient computation of transitive relationships within a digital processor.