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We call the probability that cell schedules user the scheduling probabilities.
On the other hand, a high interference power is experienced on PRBs, where a neighboring cell schedules a UE which is close to the cell edge of the cell of interest.
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This study focuses on the domain of a two-machine robotic cell scheduling problem under three inspection scenarios.
As mentioned in section 2, each cell schedule frequency resources independently.
Egilmez and Suer (2014) offered two models for analyzing the interaction between CF stage and cell scheduling stage in terms of the risk taken by decision-makers.
The paper addresses the problem of 2-machine robotic cell scheduling of one-unit cycle with sequence-dependent setup times and different loading/unloading times of the parts.
The required modification to the PF scheduler (Algorithm 1) is to replace the intra-cell scheduling metric of line 5 with a system-level scheduling metric.
By addressing intra-cell scheduling, the sequence of parts within manufacturing cells is determined; however, in inter-cell scheduling the sequence of cells is obtained.
Current studies on employing user trajectories and application requests for inter-cell scheduling [23] show significant gains.
In either scheme, serving cells schedule only one of their associated users per frequency-time resource block allocation (transmission interval).
But in a cooperative scenario, it is difficult to model and analyze due to different cross-cell scheduling [27, 28].
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