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Thus, the maximum achievable throughput is theoretically limited for a given frame size and is given by (17) where Frame duration min is equal to the maximal configuration generation latency plus the maximal configuration transfer latency.
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The simulation results indicate that the proposed power scheme demonstrates obvious improvement in terms of capacity and power economization, compared with the maximal power configuration method.
[NB most of these maximal combinatorial configurations don't arise arithmetically.] A final curious observation is that the consistent configurations always split evenly between even and odd size; e.g. for n=7 the counts are: so the even configurations total 1 + 420 + 6538 + 8593 + 832 = 16384, same as the count of odd configurations 35 + 2310 + 10076 + 3899 + 64.
The main advantage of this approach over previously published discrete methods is that no initial maximal or minimal configuration needs to be specified (although an allowable region can be enforced), and that a combinatorial problem with exponential complexity is avoided.
As these maximal cliques give configurations of the group-wise IBD status among the individuals, selecting different cliques generally leads to different global configurations, and thus naturally different values of the HMM state (we will give the definition of 'select' later).
In the first phase, the multi-resolution optimization iteratively finds the configuration of maximal SINR.
In line 2 to 17, a configuration with maximal simulated SNR (phase I) is found.
In line 2 to 10, in order to find a configuration with maximal simulated SNR (phase I), calculated SINR is utilized.
It calculates the sum of differences between values of payoff obtained in the current configuration with maximal possible value of payoff for each producer.
(E^{text {ESL}}_{text {50max}}) is defined as (E^{text {ESL}}_{50}) for a configuration with maximal electric-field strengths (all 411 APs are active with an EIRP value of 20 dBm).
In this configuration, the maximal value that Σ can theoretically reach (c→0) is da/ da+1)≈0.91.
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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