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(a) Irregular scenario and (b) regularized scenario.
Figure 6 Optimization process for irregular scenario in the adjacency-based approximation.
Figure 9 Mean throughput versus distance to antenna with offered DCH load for cell of the irregular scenario.
The solutions of the different variants of the proposed algorithm are tested in a system-level simulator implementing a real irregular scenario.
Figure 7 shows the arrival probability and the residency probability versus the distance to the antenna for cell number from the irregular scenario.
A comprehensive sensitivity analysis has shown that the regular scenario is a worst-case scenario for MTS and PTS, i.e., the improvement in UUR obtained with them in any irregular scenario is larger than in the regular scenario.
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The method covers ordinary production as well as irregular scenarios, such as failure detection or maintenance intervention, particularly interesting for human work.
The proposed heuristic algorithm can handle irregular scenarios at a low computational complexity.
The extension of the algorithm to deal with irregular scenarios is detailed later.
The following subsections describe first the optimization process in a regular scenario and later explain the extension to irregular scenarios.
Similar to [23], the proposed heuristic algorithm can handle irregular scenarios while still using a semi-analytical approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com