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Originally from Palm Beach, Florida, James Baker loves to make people wonder what the hell [he is] thinking. James is the Creative Director at the WDDG (wddg.com), a multimedia company in Manhattan, where he has created Flash experiences for the photographer John Mark Sorum (www.johnmarksorum.com), Cinnamon Altoids (www.toohot.com), and Campari (www.campariusa.com), among other award-winning presentations. In his free time, James makes sure FlashChallenge (www.flashchallenge.com) is on top of the best Flash sites in the world. During his final year of high school, James remembers watching Pulp Fiction.

The baseline performance of a network is de ned in this book as its performance with the basic set of standard GSM functionality Such functionality has been considered to be RF hopping with advanced reuse schemes, MAIO management, DL and UL power control and DL and UL discontinuous transmission (DTX) 6 will analyse the performance enhancements associated with this set of functionality All the performance analysis carried out throughout this book is going to show the achievable performance with different features and functionality based on relative gains obtained from simulations and trials on top of the GSM achievable baseline performance, which is based on real networks performance and presented in this section The baseline performance of any cellular network, using any technology, is going to be heavily conditioned by the initial network planning, the traf c distribution and the complexity of the propagation environment.

8 covers the creation, modification, and deletion of text frames in more detail. 14 covers the Column settings in the Text Frame Options dialog box. The rest of Part IV covers formatting text.

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In terms of network planning, the most important factors are the antenna heights and locations In order to ensure a satisfactory baseline performance, the antenna locations should be carefully selected High antennas may provide low-cost coverage for initial deployment but will have a negative impact on interference-limited environments, limiting the achievable spectral ef ciency Antennas below roof levels, for which signal propagation is contained by the surrounding buildings, have proven to provide the best performance for interference-limited environments and hence highest spectral ef ciency Following this principle, microcellular networks, because of their characteristic antenna locations, will be able to reach a higher spectral ef ciency through the implementation of tighter effective reuses Different networks will have a very different performance depending on these factors The network performance characterisation is generally quite similar across different networks.

Polymorphism means that you can write methods that accept arguments, or parameters, data typed as instances of a superclass, but then pass an instance of a subclass to the same method. Because all subclasses that extend a particular superclass share the same set of methods, properties, and other object members, the method that expects an instance of the superclass also can accept instances of the subclass and know that those methods can be called safely. Polymorphism also can be used with a programming model known as an interface. An interface is essentially an abstract class that can t be directly instantiated. Its purpose is to define a set of methods and other object members and to describe how those methods should be written. But in an interface such as the one shown in Figure 1.4, the method isn t actually implemented; it only describes the arguments and return data types that any particular method should have.

Think of a bubble chart as an XY chart that can display an additional data series, which is represented by the size of the bubbles. As with an XY chart, both axes are value axes (there is no category axis). Bubble charts are listed in the Other Charts category. Figure 19.33 shows an example of a bubble chart that depicts the results of a weight-loss program. The horizontal value axis represents the original weight, the vertical value axis shows the number of weeks in the program, and the size of the bubbles represents the amount of weight lost.