This work presents an integer programming model and a computational tool for designing GSM (Global System for Mobile Communications) networks, regarding BSS (Base Station Subsystem) with optimized cost.

This work presents an integer programming model and a computational tool for designing GSM (Global System for Mobile Communications) networks, regarding BSS (Base Station Subsystem) with optimized cost.

We design a novel approach, called the iterative decomposition (ID-SLP) approach, to efficiently solve the guaranteed service model (GSM) to optimize the inventory policy for large-scale inventory networks.

This work shows a mathematical and computational tool to design a GSM (Global System for Mobile Communications) network, in the point of view of BSC (Base Station Controllers) allocation and dimensioning.

iplexing technology. We improve its binary integer linear programming model. The improved model has been implemented in GA. S (the General Algebraic Modeling System) and solved using the CPLEX solver. We then create new problem instances with known optimal solutions to extend the current BCP.

Jan 1, 2005 · We describe a Mixed Integer Linear Programming formula-tion to optimize base stations location and configuration of a wireless network implementing the IEEE standard 802.16 (WiMAX). The system...

Jan 12, 2012 · The proposed method is based on an effective re-formulation of the classical integer linear programming model of the graph partitioning problem, which is solved by the branch-and-cut algorithm in a commercial optimization package.

This work presents an integer programming model and a computational tool for designing GSM (Global System for Mobile Communications) networks, regarding BSS (Base Station Subsystem) with optimized cost.

Jan 1, 2014 · The importance of integer programming stems from the fact that it can be used to model a vast array of problems arising from the most disparate areas, ranging from practical ones (scheduling, allocation of resources, etc.) to questions in …

Integer programming models are often classified as being either mixed-integer programming models, pure-integer programming models, or zero-one integer programming models .