Posicionamento quase ideal de vBBU e atribuição de comprimento de onda em Cloud Fog RAN
Abstract
In Cloud fog Radio Access Networks (CF-RAN), optimal dynamic activation of fog nodes and virtual BaseBand Units (vBBU) placement is typically performed by Integer Linear Programming (ILP) formulations. However, ILP presents scalability problems and compromises its application in larger network scenarios. So, in this paper we propose a linear relaxation approach to work around this scalability problem and provide a near optimal solution for dynamic vBBU placement in a timely manner in CF-RAN. The results show that a heuristic approach based on linear relaxation significantly reduces the use of computational resources and the execution time compared to ILP while providing sub-optimal solutions that approximated ILP solutions.
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