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Algorithm 1 searches set C for the action that maximizes the total expected service rate.
Nevertheless, a NCRAWL equipped relay knows the probabilities of overhearing and is then in position to determine the probability of decoding and, thus, the expected service rate.
In the general case, however, whenever a particular encoded packet is not correctly decoded, extra feedback information is obtained and the expected service rate changes.
Daniel does not consider firms costs, and the expected service rate is not a control variable for the firms, which are described using an M/M/1 queue where service capacities are identical and given.
Algorithm 1 is throughput-optimal under the condition that the random decoding event distribution does not change during transmissions, and thus, the expected service rate computed above is accurate.
The expected service rate for receiver i ∈ C with such an action will be μ i ( C ) = min j ∈ C { r j } ∏ j ≠ i j ∈ C q ji, (1).
Similar(54)
For this queue, if the arrival rate is λ, and the expected service time is 1/μ, the average number of customers waiting in the system (including those receiving service) is /(1 - λ/μ).
We assume that the firm's service rate also follows a Poisson process with expected value given by μ.
A power rating at particular ambient conditions determines the internal engine temperatures and the resulting expected service life of components exposed to these temperatures.
Storage agreements include information about expected service level for availability, access, space, and resilience.
Finally, the creep deformation and mechanical strength of the tube at expected service conditions over its entire lifetime were predicted.
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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