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Figure 17.12 Comparison of the total system costs between the one-tier and two-tier systems, 0 = 1[calls/(min km2 )] and 0 = 20[calls/(min km2 ).] 1 2 Figure 17.12 depicts the total system cost as a function of tier 2 mobile speed, while tier 1 mobile speed is xed for one-tier and a two-tier systems. The tier 1 mobile speeds considered are 30, 90, 180, 270, 360 and 540 km/h. The main conclusion from Figure 17.12 and many other similar runs [21] is that, for the parameter ranges used in this study, the two-tier system outperforms the single-tier system for all the values of the slower and faster mobile speeds.
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Listing 619 defines the GetSummary() member as abstract, and therefore, it doesn't include any implementation Then, the code overrides it within Contact and provides the implementation Because abstract members are supposed to be overridden, such members are automatically virtual and cannot be declared so explicitly In addition, abstract members cannot be private because derived classes would not be able to see them
private FavoritesViewSorter sorter;
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17.4 LOCAL MULTIPOINT DISTRIBUTION SERVICE Wireless systems can establish area-wide coverage with the deployment of a single base station. The local multipoint distribution service (LMDS) offers a wireless method of access to broadband interactive services. The system architecture is considered point-to-multipoint since a centralized hub, or base station, simultaneously communicates with many xed subscribers in the vicinity of the hub. Multiple hubs are required to provide coverage over areas larger than a single cell. Because of the fragile propagation environment at 28 GHz, LMDS systems have small cells with a coverage radius on the order of a few kilometers. Digital LMDS systems can exibly allocate bandwidth across a wide range of bi-directional broadband services including telephony and high-speed data access. Multiple LMDS hubs are arranged in a cellular fashion to reuse the frequency spectrum many times in the service area. Complete frequency reuse in each cell of the system is attempted with alternating polarization in either adjacent cells or adjacent hub antenna sectors within the same cell. Subscriber antennas are highly directional with roughly a 9 inch diameter (30 35 dBi) to provide additional isolation from transmissions in adjacent cells and to reduce the received amount of multipath propagation that may cause signal degradation. Since cells are small and the entire spectrum is reused many times, the overall system capacity is quite high, and backhaul requirements can be large. Backhaul networks will probably be a combination of ber-optics and point-to-point radio links.
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C++ allows for the definition of abstract functions using the cryptic notation =0 These functions are called pure virtual functions in C++ In contrast with C#, however, C++ does not require the class itself to have any special declaration Unlike C#s abstract class modifier, C++ has no class declaration change when the class includes pure virtual functions
private void createTableSorter() { Comparator nameComparator = new Comparator() { public int compare(Object o1, Object o2) {
The system capacity comes mainly from the huge radio frequency (RF) bandwidth available: block A, 1150 MHz (2750 2835, 29100 29250 and 31075 31225 GHz); and block B, 150 MHz (31000 31075 and 31225 31300 GHz) For the purpose of frequency planning for two-way usage it is essential to solve the problem of LMDS spectrum partitioning for the upstream and downstream The standard duplexing options, frequency-division duplex (FDD) and time-division duplex (TDD), are applicable in LMDS too and will not be discussed here in any more detail Instead, as a wireless point-to-multipoint system, the deployment of LMDS will be assessed by the basic parameters of cell size and capacity Obviously, an operator would want to cover as large an area as possible with a minimum number of cell sites, hence maximizing cell size.
return ((IFavoriteItem) o1) getName() compareTo( ((IFavoriteItem) o2)getName()); } }; Comparator locationComparator = new Comparator() { public int compare(Object o1, Object o2) { return ((IFavoriteItem) o1) getLocation() compareTo( ((IFavoriteItem) o2)getLocation()); } }; Comparator typeComparator = new Comparator() { public int compare(Object o1, Object o2) { return ((IFavoriteItem) o1) getType() compareTo( ((IFavoriteItem) o2)getType()); } }; sorter = new FavoritesViewSorter( viewer, new TableColumn[] { nameColumn, locationColumn, typeColumn }, new Comparator[] { nameComparator, locationComparator, typeComparator }); viewersetSorter(sorter); }
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