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SEAMCAT uses these distributions to generate random events (Event, snapshot and simulation trial have the same meaning in this report) using using samples of the above mentioned distributions. For each event, SEAMCAT stores the signal strength of the interfering and the desired signals calculated in dedicated data arrays. As a very final step, the probability of interference can be calculated by comparing the wanted and unwanted signals at the victim link receiver in each event to the relevant interference criterion (e.g. C/I).
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Figure 5 illustrates the terminology of the various elements that are simulated for (a) ‘generic’ systems (i.e. non-cellular) and (b) cellular systems.'
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It is common practice to use a uniform random distribution for the locations of the transceivers. The density of interferers is set in line with the environment being modelled, i.e. an urban environment should have a higher density than a rural environment. Only a proportion of the interferers are active at any instance. This proportion may depend for example on the day of the week as well as the time of day. Figure 6 illustrates how the interferers and victim may appear for one simulation trial. Also illustrated is the victim link transmitter providing the victim’s wanted signal (dRSS: desired Received Signal Strength).
Figure 6: A typical victim and interferer scenario for a Monte Carlo simulation trialAnchor F006 F006
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