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As can be seen, the system performance improves with the increase of P m.
The system performance improves with the increase of the source density in the studied region.
It is clearly observed that the system performance improves as the diversity order increases.
It is observed that system performance improves with the inclusion of TCSC.
Moreover, the system performance improves with the increase of antenna number N T and channel coefficient ρ.
On observation, it can be seen that the system performance improves as the optical power is increased.
In addition, the system performance improves by 2 to 4 dB, if we employ lower level M-PSK modulations.
At first sight the results of this figure look strange in that the system performance improves as the mobile speed increases.
Also, it shows that the system performance improves with increasing number of neurons due to the fact that the recognition capability could be enhanced as the number of hidden neurons is increased.
In terms of energy consumption, up to a certain number of processors, the total system energy consumption decreases as the number of execution cycles is reduced, and then it tends to stabilize as the system performance improves.
g LS(1) = 0.5, g LS(2) = 1, g LS 3) = 2. From Figure 9, we can see that the system performance improves progressively as the CSIT quality improves and similar trends as in Figure 7 can be observed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com