Ai Feedback
Exact(5)
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.
Among other related literatures, few studies tried to estimate and model the throughput of flows in the network based on gathered measurements [26 28].
In Figure 5, we notice that, in two-node communication model, the throughput of TCM-EH-ET is very close to that of TCM-EH.
In Figure 6, we notice that, in three-node relay communication model, the throughput of TRCM-EH-ET is apparently better than that of TRCM-EH although y 1 and y 2 are also generated by the same Gamma distribution.
It provides analytical expressions to model the throughput and delay of a hybrid MAC scheme akin to IEEE 802.11e followed by MATLAB simulation results which highlight the drawback of protocols that are biased toward protecting and guaranteeing QoS for delay intolerant HP traffic thereby starving the delay tolerant non-real time flows.
Similar(55)
Within the context of this simplified model (thereafter referred to as the Wyner model), the throughputs achievable with both optimal and linear minimum mean squared error (MMSE) joint processing of the received signals at all access points are derived for nonfading channels (also see [4] for related work).
Huang [2] modeled the throughput as a Poisson point process, so that the relationship between the throughput and the energy arrival rate provides useful insight into the tradeoff among the node density, encoding rate, and the amount of harvested energy.
The feasibility model reflects the throughput constraints imposed by the network.
After describing the network configuration and the experiment setup, we will explain the exploratory measurement campaigns we performed for deriving the physical model of the throughput.
For instance, in [15], the authors derive a physical model for the throughput of WiMax networks based on monitoring physical layer parameter carrier to interference and noise ratio (CINR).
It can also be observed that the model predicts the throughput of the network within 90% of the throughput achieved using simulations.In case of variable terrain dimensions, we have used 9, 12, 16, 16, 20, and 24 source nodes for 25, 36, 49, 64, 81, and 100 nodes network, respectively.
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