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For mapping function models, there are no obvious differences, while the PCV model of ELEV is always a little better than AZEL for large scale network with mixed antenna types.
This is because the CDE-GA only works well on small network but not for large scale network.
Reference [20] further extends the method in [19] for large scale network by selecting some feature points to reduce the overlapping issue and preserving the major topology features.
A limitation of mass-action modeling approaches is the amount of data required to generate specific values for the abundance and rate constant parameters, which can be prohibitive for large scale network reconstructions (Figure 1) [28].
It is not efficient for large scale network analysis but it provides various layout options and ways to arrange nodes in various geometric distributions.
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However maintaining routing performance for large scale networks is still an issue for both proactive and reactive routing protocols.
To carry out numerical simulations for large scale networks, we derive a system of semi-classical Langevin equations based on the Wigner-transformation as described in [10].
By analyzing the four approaches it is easier to understand which one is more suitable for large scale networks, highlighting the main advantages and disadvantages.
Since this assumption is quite unrealistic, specially for large scale networks, the limited-capacity backhaul within the pre-existing infrastructure may be unable to reliably transmit channel state information (CSI) and user data information among the collaborative BSs.
EFM computation for large scale networks remains computationally intractable for exhaustive substrate cycle enumeration.
Pajek is suitable for large scale networks with thousands or even million of nodes and vertices.
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