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Note that the hand-off calls have the same traffic classification.
Compared to [5, 26], our proposed ATA scheme makes each node have the same traffic volume.
All the flows have the same traffic demand of 1 Mbp.
Each BS will thus have the same traffic load at the same time when sleep modes are not activated.
Compared to [31 33], our ATA scheme uses fake messages instead of the random-walk method and makes each node have the same traffic volume.
Since all three VNOs have the same traffic demand, RRUs are divided into three equal parts in RAN sharing, whereas in the V-RAN approach all RRUs are aggregated.
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Note that it is here not necessary to define the actual value of the sleep threshold, as it is assumed that each BS has the same traffic pattern, each BS would reach the sleep threshold at the same time, and thus it would be possible to put each BS into sleep.
They have roughly the same traffic as we do – 7 million monthly visitors – but they've been around just half the time.
For the Dflood and GDflood, we have assumed the same traffic rate at the application layer.
In Table 2, 24 time slots are reduced to 12 since some of them have the same amount of traffic load due to the sinusoidal traffic profile.
Since Mixnodes have the same (and maximum) traffic volume, thus, by observing the traffic volume, the attacker cannot distinguish if a Mixnode is a sink or not.
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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