ssrs fixed data matrix

ssrs fixed data matrix

ssrs fixed data matrix

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25.1 NOISE FIGURE MEASUREMENT SETUP AND PROCEDURE A typical noise gure measurement setup is shown in Figure 25.1. The setup consists of a noise diode and either a noise gure meter or a spectrum analyzer with noise gure measurement hardware and software. In either case, the user interface and setup are generally the same. The noise diode acts as the signal source for the DUT. A 28 V control signal from the instrument turns the noise diode on to take the hot measurement and off to take the room temperature measurement. The ENR is either printed on the side of the diode and has to be manually input into the measurement setup or automatically downloaded from a ROM chip when the diode is rst connected to the instrument. A preampli er with good noise gure and gain characteristics is inserted before the input of the spectrum analyzer. The gain from this ampli er will mask the noise gure of the instrument components that follow. On newer instruments, the preampli er is built in and turned on by default when performing noise gure measurements. The setup of the measurement consists of setting the start and stop frequencies, and, if necessary, inputting the corresponding ENR values. Next, calibration is performed by taking a sweep with the diode connected directly to the instrument input (or external preampli er input on older instruments). This measures the noise gure of the instrument itself, which can then be calculated out of the nal measurement of the DUT by using the formulas for cascaded noise gure.

(3.91)

(5.213)

1

Filled = Downlink, Blank = Uplink No beamforming 2 element beamforming 4 element beamforming 0.5Hz, 3dB shadowing , , , IHz,3dB shadowing ,

Microsoft maintains a list of Windows Home Server add-ins on its Web site (www .microsoft.com/windows/products/winfamily/windowshomeserver/ add-ins.mspx) but there s a better list on the Home Server plus Web site (www .whsplus.com).

At this point, no services should be running on this port monitor. This can be checked with the pmadm command. This command looks and acts very similar to the sacadm command, but operates on a lower level. Within the pmadm command is embedded the ttyadm command. The ttyadm command is used to format and display information specific to port monitors. The major parameters to both the pmadm and ttyadm commands are listed in Tables 16.3 and 16.4.

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In such a case, we will also get a distribution of the BER; note that this distribution is for a xed transmit power. From these considerations, we arrive at the concept of outage probability. For many applications, it is not important what the exact value of the BER is, as long as it stays below a certain threshold. For example, a le transfer is successful as long as the raw BER is small enough so that errors can be corrected by the error correction coding in other words, a long as a certain threshold raw BER (typically on the order of a few percent) is not exceeded. It is then meaningful to determine the percentage of locations where successful le transfer will not be available. This percentage is known as outage probability. In some situations, the memory is long enough to see multiple realizations of the small-scale fading, but only one realization of the large-scale fading. In this case, an outage occurs if the small-scale averaged BER lies below a certain threshold, and the probability for such an outage to occur is determined by the large-scale fading statistics only. Computation of outage probability becomes much simpler if we de ne not a maximum BER but rather a minimum SNR 0 , for the system to work properly. We can then nd the outage probability as Prout = P ( < 0 ) =

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