Addressing the 5G Cell Switch off Problem with a Multi objective Cellular Genetic Algorithm
The power consumption foreseen for 5G networks is expected to be substantially greater than that of 4G systems, mainly because of the ultra dense deployments required to meet the upcoming traffic demands. This paper deals with a multi objective formulation of the Cell Switch Off (CSO) problem, a well known and effective approach to save energy in such dense scenarios, which is addressed with an accurate, yet rather unknown multi objective metaheuristic called MOCell (multi objective cellular genetic algorithm) It has been evaluated over a different set of networks of increasing densification levels. The results have shown that MOCell is able to reach major energy savings when compared to a widely used multi objective algorithm.
2018 IEEE 5G World Forum (5GWF)