Lee et al. [24] modelled the deployment area as a grid with equal-sized cells, proposing a distributed cell-based optimized relay node placement algorithm.
This paper presents a new combinatorial optimization problem that can be used to model the deployment of broadband telecommunications systems in which optical fiber cables are installed between a central office and a number of end-customers.
In this paper, we analyze typical online performance prediction scenarios and propose a performance meta-model for (i) expressing and resolving parameter and context dependencies, (ii) modeling service abstractions at different levels of granularity and (iii) modeling the deployment of software components in complex resource landscapes.
Our evaluation protocol is intended to model the practical deployment of a data-driven detection method and to account for a natural evolution of malicious data.
We employ a reconfigurable system-level LTE simulator to model the typical deployment scenarios outlined in the 3GPP specifications and implementation guidelines [6, 7].
In this study, a method to create a folded balloon model is presented and utilised to numerically model the accurate deployment of a stent in a realistic geometry of an atherosclerotic human coronary artery.
In this section, stochastic geometry is used to model the network deployments [17, 19], while the cumulants concept is used to recover the distribution of the aggregate CCI at tagged receiver [10, 18].
We model the deployment of sensor nodes as a Poisson point process and use λ to represent the density of the underlying Poisson point process.
Despite the coexistence of several organizational models, the deployment of TPE programs focusing on diabetes or obesity remains particularly insufficient outside hospital structures, despite population's needs.
