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Published in: Wireless Networks 5/2020

11-06-2019

Fast and efficient energy-oriented cell assignment in heterogeneous networks

Authors: Javier Rubio-Loyola, Christian Aguilar-Fuster, Luis Diez, Ramon Agüero, Juan Luis-Gorricho, Joan Serrat

Published in: Wireless Networks | Issue 5/2020

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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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Metadata
Title
Fast and efficient energy-oriented cell assignment in heterogeneous networks
Authors
Javier Rubio-Loyola
Christian Aguilar-Fuster
Luis Diez
Ramon Agüero
Juan Luis-Gorricho
Joan Serrat
Publication date
11-06-2019
Publisher
Springer US
Published in
Wireless Networks / Issue 5/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02047-x

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