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Traditional Win32 applications consistently maintained state as the user worked through the program. The state of the user was consistently known to the application. Basically, state is what the application knows about the user. That includes who the user is, where he is in the process of the application, and what he has entered into the application to that point. Having an application on the Internet is a different story entirely. The Internet is stateless in nature. Basically, the whole thing works with HTTP requests and responses. The server receives an HTTP request for a particular page and sends the browser the requested page. The server makes no distinction about the browser it just sent the page to. Every browser is equal in the server's eyes. When the browser makes a request for a second page, the server gives it the second page and doesn't have any information about this requesting browser. It truly doesn't know that the browser is the same one that just recently requested a different page. To the server, it could be any browser. This creates a problem if you want the server to remember information about the browser so that the user on this browser can work through an application in a meaningful way. The way to fix this problem is to remember who the user is, their preferences, or any other pertinent information about them from one request to the next as they work through the pages of your application. This is accomplished by various techniques that you can apply throughout the application's code. ASP.NET includes the following features and techniques to apply when you're working with state management: ViewState Querystrings Sessions Cookies You may already be using most of the techniques discussed in this chapter within Active Server Pages 3.0.

Example 1028: Multisymbol CDMA Consider a system in which we have N = 100, a required minimum SINR of = 2, and an orthogonal code having K = 2 symbols For this case we have M = 50 allowable users at data rate Rb Now consider a second case in which we have an orthogonal code with K = 16 symbols Here the allowable number of users decreases to M = 36, but the data rate for each user increases by a factor log2 16 = 4 This means that each user in the second case can accommodate four users of the rst case (eg, in a TDMA format) and the equivalent number of users with the rates of the rst case is 36 4 = 144, which is almost three times the users supportable (50) in the rst case.

BDR = PIdB -- NoiseFloor - SNRMIN (9.34)

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The disadvantage of the orthogonal signaling scheme is the complexity of the receiver design In this example we need 16 receiver correlators per user channel rather than only one needed in the simplest system design Table 102 gives the bandwidth ef ciency for different numbers K of code sequences per user, in a system with code length 256 chips and two orders of explicit diversity The results are given for two-, four-, and seven-path multipath channels The maximum bandwidth ef ciency of 03047 is found for the largest code set (K = 64) and maximum multipath spread (seven paths) This ef ciency will increase if the order of explicit diversity is increased or if the constraint on the probability of error is relaxed from 10 4 .

Select this option to manually con gure the frame type or to con gure multiple frame types Specify the internal network number for each: Choose 8022 for NetWare 33 or later on Ethernet; choose 8023 for other Ethernet con gurations; choose 8025 for Token Ring adapters..

Copying files and directories from one location in the filesystem to another is a common practice for system administrators. The cp command provides this feature. In its most basic form, the cp command uses two parameters the source object and the destination object:

For two-path channels the bandwidth ef ciency increases by approximately a factor of 3 as the number of code sequences per user increases from 2 to 64 For four- and sevenpath channels, the corresponding increase is approximately a factor of 4 Table 103 shows the effect of increasing code length N for K = 16 orthogonal sequences and second-order explicit diversity For a xed bandwidth, as the code length increases, the transmission rate and consequently the bandwidth ef ciency decrease On the other hand, an increase in the code length reduces the interference from other users, which improves the bandwidth ef ciency of the system Considering both effects, Table 103 shows that for any number of signal paths, the bandwidth ef ciency decreases slightly as the code length is increased.

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