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In this paper, we describe the design and implementation of an extensible and flexible self-optimization framework for cognitive home networks that employs cognitive wireless networking and agent-based design principles. We provide a “first-principles” derivation of its architecture based on a careful analysis of user requirements on wireless home networks (WHNs), state the related design objectives...
The problem of multi-source localization in lognormal fading is addressed. A Gaussian-Mixture Model (GMM) is proposed as an approximation of the measured signal strengths from various sensors in space, parameterized by the positions and the transmission (Tx) powers of the sources. The iterative Expectation-Maximization algorithm is invoked for the estimation of the relevant GMM parameter set. The...
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