Chapter 11. IMPLEMENTING USER-DOMAIN SKILLS
This chapter continues the process of bringing together speech, vision, machine learning, planning, and location-awareness technologies to achieve user-oriented goals for increasingly intelligent SDR. This is part of an evolutionary process in markets fueled by research in academic institutions and corporate laboratories, guided by government, regulatory authorities, and standards bodies like the ITU, IEEE, Object Management Group, W3C, ARIB, and ETSI; and catalyzed by industry forums like the SDR Forum and WWRF. It is virtually impossible technically, economically, and institutionally to transition from SDR to iCR in one leap. The AACR evolution includes sequences of independently useful steps distributing emphasis among <RF/> and <User/> domains; enhancing radio awareness, adaptation, and <RF/>-enabled QoI for the <User/>:
XG "spectrum-aware" adaptive radios will share pooled radio spectrum <RF/>.
"User-aware" soft biometrics will improve the security of <User/> information.
"Location-aware" radios will adapt RF modes to <RF/> policy per location.
"Schedule-aware" radios will adapt <RF/> to workdays, holidays, vacation, and other temporal patterns, optimizing information selection, aggregation, and sharing per <User/>s.
Niche-focused AACRs become niche-domain-aware: patient-aware for <User/> healthcare; crisis-aware for emergency <RF/> services; and golfer-aware for real-time advice on aligning the shot at any hole at any golf course in the ...
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