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FurThermore, we comperformanceRB with the roftheean square errors of PF andistributedifferent numbers of active nodes.
The performance of the distributed system, introduced in Section 5.2, is evaluated next.
The performance of the distributed filters is analyzed with respect to the fading factor.
Figure 9 Steady-state performance of the distributed tracking with consensus algorithm for incomplete data and noiseless communication case.
Figure 8 Steady-state performance of the distributed tracking with consensus algorithm for complete data and noiseless communication case.
We study the effects of residual carrier frequency offset (CFO) on the performance of the distributed zero-forcing (ZF) beamformer.
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Figure 9 Simulated FER performances of the distributed WCMS precoding in a distributed MIMO OFDM system with large-scale fading and common CSIT quality α.
The results indicate that the performances of the lumped model using different optimal networks are stable while the performances of the distributed model keep on improving as the number of rain gauges increases.
In addition, the sensitivity analyses indicate that the determination of user preference, as well as the fluctuation of energy loads and fuel prices may have considerable influence on the performances of the distributed energy network.
Figure 6 Performance evaluation of the distributed power allocation schemes for k = 3 and uncoded data.
Figure 7 Performance evaluation of the distributed power allocation schemes for k = 4 and coded data.
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