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Firstly, we focus on bits per unit time, as opposed to bits per sample.
Hence, we define the achievable throughput as the number of transmitted bits per unit time (bps/Hz).
Data arrives for user i in form of bits with an average rate of λ i bits per unit time (one time unit represents one symbol duration).
However, the AP remains a system bottleneck and all the time it spends transmitting to or receiving from nodes with a slow connection is still spent sending relatively few bits per unit time.
Node W encodes the message that is transmitted from W to X through a linear combination b 1 ⊕ b 2. Thus, the source S-transmitted two bit streams b 1 and b 2 can multicast to the nodes Y and Z simultaneously; the transmission rate can achieve the multicast rate of 2 bits per unit time.
The dimensions of IC are bits per unit time [ 20].
Similar(54)
User throughput is defined as the number of successfully received bits per user per unit time.
The average number of contacts per unit time is c.
†Standardized number of purchases per unit time.
We use the throughput formula defined in [8], as the net number of information bits that are transmitted without error per unit time.
The throughput per flow is the average data bits that are successfully received by each flow receiver per unit time.
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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