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The clutter classes (land usage) are commonly used in the planning and dimensioning tools to characterise the propagation environment. The conditions for open area (quasi line of sight) lead to existence of one dominant signal and relatively low power interferers between the base station and mobile. As a consequence, the orthogonality factor is the highest among all other clutter classes. On the other hand, the sealed area (open in urban) is surrounded by buildings, thus there is no line of sight connection. The signal arrives at the mobile through reflections or diffraction at near obstacles, leading to many similar power echoes. As a result the orthogonality factor is the lowest. In the urban area, there is typically no line of sight connection, but due to less possible propagation routes between base station and mobile the orthogonality factor is higher than in a sealed area. Fewer obstacles are present in the suburban land use than in an urban area. This leads to a higher chance of one dominant signal in the downlink and less signal reflections. Subsequently, the orthogonality factor is higher than in urban areas, but lower than in open area. The dependency of the orthogonality factor on the base station class reflects the situation in a town location. For the macro base station, the orthogonality factor is used as an average among all clutters classes as depicted in Table 10.7. In the microcell, the antenna is located below roof top level, so the

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These subhead categories are varied, so you have a lot of options for selling in this category. Think about what you collect. Then think about what others collect. Almost anything in the world could be considered collectible. I have friends and family who collect trains, Blenko glass, hot sauce, Steiff teddy bears, figural dogs, princess items, restaurant menus, and even matchbooks. The potential in this area is staggering.

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Many factors contributed to this rise and fall of housing prices. In this chapter, we will focus on three key factors: abnormally low interest rates, unscrupulous sales practices of certain mortgage lenders, and incentives for certain house purchasers to avoid personal responsibility. (We will discuss additional important factors in other chapters, for instance, 5 on short selling by hedge funds and 6 on excessive leverage of nancial institutions.)

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Automated radio network planning and optimisation, as understood here, is the process of algorithmically arriving at a radio network design based on input data that is typically available within radio network planning tools. This data shall be adjusted to the real network conditions by fine-tuning the coverage prediction model, radio resource management (RRM) algorithm parameters, if dynamic simulators are used, and traffic figures by appropriate network measurements: drive test surveys, reports from mobile terminals and network statistics. Throughout the rest of this chapter, optimisation shall address network planning as well as network optimisation. The expected results of an optimisation process are suggestions on how to deploy, extend, or reconfigure a network. We give an introduction to generic optimisation in Section 14.1. The basis for formulating optimisation problems associated to UMTS radio networks is then provided by describing the optimisation parameters (the degrees of freedom) in Section 14.2 and the criteria for which to optimise in Section 14.3. Optimisation methods are then differentiated according to whether or not they use simulation-based evaluation as a subroutine. Methodology and implementations of black box approaches that iteratively determine the quality of intermediate solutions via simulation are described in Section 14.4. They have the advantage that they make decisions based on detailed performance analysis. However, the accuracy comes at the cost of large computation times. Optimisation methods that develop alternative evaluation approaches in order to estimate performance and avoid simulation are then presented in Section 14.5. Suitability of the presented algorithms for UMTS radio network optimisation is briefly comparison in Section 14.6.

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