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Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks

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192 <strong>Wireless</strong> <strong>Ad</strong> <strong>Hoc</strong> <strong>and</strong> <strong>Sensor</strong> <strong>Networks</strong>454035SSCDOptimalBambosCSOPCPlot of outage probability vs. number of usersOutage probability30252015BambosCSOPCOptimalSSCD10502040 60 80 100 120 140 160 180Number of usersFIGURE 5.5Outage probability with number of users.with a varying number of nodes to evaluate the performance of DPCschemes. The plots of outage probability in Figure 5.5 <strong>and</strong> total power inFigure 5.6 demonstrate that the outage probability <strong>and</strong> total power consumed,using the SSCD <strong>and</strong> optimal DPC schemes, respectively, continueto be lower than when compared to Bambos <strong>and</strong> CSOPC schemes. Whenthe number of users varies, the lower outage probability observed inFigure 5.3 is the result of low power consumption by our DPC schemesin comparison with others while the time to reach the target is longer thanothers, as seen in Figure 5.4. This is the trade-off.Example 5.2.2: Transmitter Power Control of Cellular<strong>Networks</strong> with Mobile UsersTo illustrate the performance of the DPC in cellular networks with mobileusers, consider the scenario from Example 5.2.1. The requirements of thetarget SIR <strong>and</strong> design parameters were selected from Example 5.2.1.Mobility in the cellular environment has been simulated as follows: Auser can move a maximum of 0.01 km per time unit in any one of theeight predefined directions chosen at r<strong>and</strong>om at the beginning of the

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