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d The avergae throughput in terms of optimization round.
b: the aggregate throughput in terms of optimization round.
dThe average throughput in terms of optimization round.
Using this approach, we can numerically evaluate the outage throughput in terms of feedback rate.
Figure 4 depicts the outage throughput in terms of the capacity of the feedback channel.
Figure 14 shows the result of throughput in terms of varying loss rates and link propagation delays.
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It reveals that TCP NRT can achieve higher throughput compared to EQRTO. Figure 12 presents the result of throughput comparison in terms of varying delays ranging from 40 to 120 ms using the second set of experiments.
Figure 12 Throughput performance in terms of varying delays.
Figure 10 Throughput performance in terms of packet loss rates.
This approach takes benefit from the capability of artificial neural networks to approximate complex functions in order to model the throughput performance in terms of MAC layer parameters.
The goal is to find the optimal operation point that maximizes network-wide throughput performance, in terms of users' downlink transmission power and cells' maximum cumulative power assigned to users (i.e., cells' coverage size).
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