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In Fig. 3, one can see the convergence of the simulated schemes to the analytical and MMSE plots, validating the presented analysis.
For each of the simulated schemes, we assume that each BS can exchange interference information only with a subset of all the interfering neighbors.
Using this justification and the aforementioned analysis, advantages should be present in the transient phase due to the additional correlation information supplied by F 2 and F 3. This conclusion is supported by Fig. 3 and the similar forms of the analytical and simulated schemes relative to each other and their subsequent convergence.
To be able to compare the relative efficiencies of the genomic and pBLUP simulated schemes at constant cost, we evaluated the extra cost of the nine alternative schemes compared to the BL_ref reference scenario, as follows.
With the simulated schemes, the results suggest that minimizing the variance of contributions per offspring is more effective than minimizing the sum of covariances of ancestral contributions over all of the offspring.
Table 1 Simulated schemes for comparison Scheme TCP protocol Scheduling MAC protocol algorithm Semi + DQS Semi-TCP DQS 802.11 with congestion control Semi + PriQ Semi-TCP PriQueue 802.11 with congestion control Reno + DQS TCP-Reno DQS 802.11 Reno + EDF TCP-Reno EDF 802.11 Delivery ratio: the ratio of the number of successfully delivered packets to the number of sending packets.
Similar(51)
If the results are similar, we regard that the performance of our simulated scheme is not degraded from that of the original one.
In addition, we also simulated both schemes with channel errors.
We simulated both schemes using 20 task types (V=20) and exponentially distributed task arrivals.
Since the simulated coding schemes use a truncated Gaussian source, we therefore see a small discrepancy, and the baker's code actually appears to slightly outperform the OPTA at the low SNR region.
We simulated breeding schemes with restrictions that were inspired by, but not unique, to pig breeding.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com