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might be designated RF1.gsm.6545.v4, not GSM. A method of organizing such information into categories is called taxonomy. Taxonomy with a comprehensive semantics of the domain is called ontology [7]. If GSM invokes a map (<GSM/> <RF1 . . ./>) relating the user s words to the signal path in the chip set, then the radio <Self/> and the <User/> are mutually grounded regarding GSM. Formally [8], ontology is an intensional semantic structure that encodes the implicit rules constraining the structure of a subset of reality. Therefore, ontology de nes semantic primitives: data and rules. AACR ontology structures the domains of <Space/>, <Time/>, <RF/>, and <Intelligententities/>, especially the <User/> and the iCR <Self/>. To emphasize the ontological role, semantic primitives in this text use XML-style markup, <Semantic-primitive/>. Semantic web enthusiasts are developing tags and ontologies to enhance web access. This emerging semantic web offers foundations, software tools [9], and lessons learned from which the specialized radio ontology kernel Radio XML (RXML) is de ned in the companion CD-ROM. The (Location, Time, RF, RSSI) association sketched above may be realized in a hardware platform with a mix of application-speci c integrated circuit (ASIC), eld programmable gate array (FPGA), digital signal processor (DSP) or general purpose processor (GPP), and associated rmware or software. The physical realization of AACR requires a mix of hardware software realizations for behavior that is affordable, ef cient, and exible. The optimal mix changes over time, so this text emphasizes functions and interfaces, not implementation details.
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There may be much value to adaptation without cognition. The aware adaptive radio (AAR) is programmed to adapt itself to some aspect of a <Scene/>. 1.3.1 Adaptation Within Policy
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A radio that senses an unused TV channel and adapts its transmission to use that RF channel for a low power ad hoc network is adapting to spectrum availability within a prede ned policy constraint. The DARPA neXt Generation (XG) program de ned a language for expressing <RF/> constraints to exibly implement the U.S. Federal Communications Commission (FCC) rules enabling the use of such TV channels for Part 15 networks [64].4 Many of the myriad other ways of adapting AAR RF behavior autonomously are developed in the sequel.
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The use case supporting FCC policy is referred to as the XG or TV-spectrum use case.
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Adaptation to the User
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Radio adaptation is not limited to RF. A radio with soft biometrics such as face and speech recognition could adapt to an unknown <User/> by protecting the Owner s data. When my wireless laptop was stolen, there was nothing but a password protecting my personal information from abuse. Suppose somewhere deep in the motherboard were soft biometric models of me at home, at work, commuting, and in recreational settings. The thief might hack the password but might not be able to fool the biometrics. If I were to introduce such a laptop, say, to my daughter to help her with her homework, the iCR laptop would adapt its biometric model of <User/> to include <Barb/>, but it should not let her access my business information without further permission. How can one create such exible yet trusted devices Historically, radio engineers have optimized the graphical user interface (GUI) to classes of users, but not to individual users. Cell phone GUIs are optimized for mass markets and military radios are optimized for military environments. As the complexity of function increases, the GUI complexity continues to increase, particularly in products where the user must set the RF air interface parameters ( modes ). A military iCR, though, may learn the standard operating procedures (SOPs) of the military user. Bands and modes for military SOPs may be published in a signal operating instruction (SOI). Instead of requiring the military user to enter parameter sets for an arcane SOP/SOI, the military iCR recognizes the user, time of day, and location, learned the SOP with the user, accesses the SOI, and offers the following dialog between Sgt. Charlie and his iCR Sparky: Charlie: Hi, Sparky. Sparky (recognizing the GI s voice and face): Hi, Charlie. The schedule says today is a training day. Shall I load the SINCGARS training mode from the SOI Charlie: OK. Sparky: What s today s training password Charlie: Today we are Second Guessing . Sparky veri es Second Guessing against the password downloaded via the Army s standard Single Channel Ground and Air Radio System (SINCGARS) secure network. 5 Charlie does not waste time with radio trivia; if encumbered with protective gear he doesn t need to type in the data load, potentially making an unfortunate mistake. Because of the unrealized potential of such speech, vision, and soft biometrics technologies, this book emphasizes such new iCR GUI ideas [10] with perception and AML to adapt to the speci c <User/>, Charlie.
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