Your English writing platform
Discover LudwigExact(17)
Different serving weights: the impact of different serving weights in SLAs, considering a scenario with two VNO BE, with 0.4 and 0.6 serving weights.
It is desirable that the services with the higher serving weights receive data rates higher than the ones with the lower serving weights.
The serving weights in the objective function make possible to prioritise services.
Various scenarios and use cases are studied in this virtual RAN environment, network performance being evaluated for different situations, by varying guaranteed levels, serving weights, and used services.
The performance of the network in different situations, such as different minimum guaranteed data rate levels and different serving weights, is studied.
Considering the slope of allocated data rates in various services, the effect of serving weights and the service volume can be seen.
Similar(41)
The effect of fairness is very well demonstrated in services of VNO BE; although the services have different serving weights, they are served relatively well based on their serving weight.
For the VNO BE1 with serving weight of 0.6, the VRRM model allocated 4.15 Mbps of network capacity, while for VNO BE2 of serving weight 0.4, this value is 2.75 Mbps.
Services with a higher serving weight, such as services of the conversational class, are provided with a higher data rate.
The goal in this section is to study the combined effect of the serving weight and the SLAs (expressed by the minimum guaranteed data rate, ( {R}_b^{min} )).
Within a total of five scheduled UEs, four belong to VNO BE1, with a higher serving weight, while one UE belongs to VNO BE2.
Write better and faster with AI suggestions while staying true to your unique style.
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