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THE POPULARITY of wireless communications systems. Designing a Self-Optimization System for Cognitive Wireless Home Networks

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Figure

Fig. 1. A wireless home network scenario (from [7]).
Fig. 2. Sample control loops for self-management: (a) Generalized representation of an (intelligent) reflex agent, (b) a learning agent, (a,b) are extended from [22], (c) Cognitive Radio Cycle, adapted from [23], (d) an autonomic element, after [24]
Fig. 3. Overview of the Cognitive Resource Manager (adapted from [17]) and mapping of this architecture to the main variables constituting the HCRM design task.
Fig. 4. Illustration how major requirements to the WHN self-optimizing system are used to derive the HCRM functionalities
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