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Recently, solar cells with perovskite materials, such as CH3NH3PbI3, as an active layer have received much interest owing to their favorable power conversion efficiencies [11 18].
The above concept and design can offer a feasible power solution for long-term, wide-area, in situ, real-time monitoring of water parameters and be a favorable power choice, particularly in closed environments.
This choice has been made to guarantee that any interaction between the two signals at the receiver is due to their structure and not to favorable power levels of one signal w.r.t. the other.
Kraemer, et al. [ 1] noted that if the estimated variance is too small, i.e., when the pilot study is overly favorable, power will be over-estimated.
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Note that in practice, typically 20-100 DSlineses are binded into one cable bundle, which will result in even more favorable power-rate trade-offs.
This can be explained by (i) the shorter line lengths that result in higher average CNRs and (ii) larger crosstalk levels as higher frequencies are used, which both contribute to obtain a more favorable power-rate trade-off.
When extending these bounds to the multiuser interference case, one would at first sight expect that adding crosstalk to the noise reduces the overall CNRs and thus results in a less favorable power-rate trade-off, i.e., being more linear.
It is not so easy to make a general statement of which technology (ADSL(2) versus VDSL(2)) has a more favorable power-rate trade-off as it depends on multiple factors.
This corresponds to a rather large CNR and thus also explaining the favorable power-rate trade-off, i.e., by reducing transmit powers up to 50%, only a small decrease in data rate performance of 15% is observed.
For most practical DSL scenarios, which generally have much shorter line lengths, CNRs are typically much larger, and thus, we can expect even more favorable power-rate trade-offs.
If the correlations between data at different nodes are known a-priori, it is possible to use schemes that have very favorable power-distortion-latency tradeoffs [143, 155, 156].
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Justyna Jupowicz-Kozak
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