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Fast and efficient energy-oriented cell assignment in heterogeneous networks


Abstract: The cell assignment problem is combinatorial, with increased complexity when it is tackled considering resource allocation. This paper models joint cell assignment and resource allocation for cellular heterogeneous networks, and formalizes cell assignment as an optimization problem. Exact algorithms can find optimal solutions to the cell assignment problem, but their execution time increases drastically with realistic network deployments. In turn, heuristics are able to find solutions in reasonable execution times, but they get usually stuck in local optima, thus failing to find optimal solutions. Metaheuristic approaches have been successful in finding solutions closer to the optimum one to combinatorial problems for large instances. In this paper we propose a fast and efficient heuristic that yields very competitive cell assignment solutions compared to those obtained with three of the most widely-used metaheuristics, which are known to find solutions close to the optimum due to the nature of their search space exploration. Our heuristic approach adds energy expenditure reduction in its algorithmic design. Through simulation and formal statistical analysis, the proposed scheme has been proved to produce efficient assignments in terms of the number of served users, resource allocation and energy savings, while being an order of magnitude faster than metaheuritsic-based approaches.



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 Autoría: Rubio-Loyola J., Aguilar-Fuster C., Diez L., Agüero R., Luis-Gorricho J., Serrat J.,

 Fuente: Wireless Networks, 2020, 26(5), 3119-3137

Editorial: Springer Netherlands

 Fecha de publicación: 01/07/2020

Nº de páginas: 18

Tipo de publicación: Artículo de Revista

DOI: 10.1007/s11276-019-02047-x

ISSN: 1022-0038,1572-8196

Proyecto español: TEC2015-71329

Url de la publicación: https://doi.org/10.1007/s11276-019-02047-x

Autores/as

RUBIO-LOYOLA, JAVIER
AGUILAR-FUSTER, CHRISTIAN
LUIS-GORRICHO, JUAN
JOAN SERRAT FERNANDEZ