Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells

We consider heterogeneous wireless networks in the physical interference model and introduce a new formulation of the mixed-integer nonlinear programming (MINLP) problem that addresses base-station activation and many-to-many associations while minimizing power consumption. This formulation is compl...

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Autores principales: Raphael M. Guedes, Jose F. De Rezende, Valmir C. Barbosa
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/ff56b1d8d5ba4d6686beae3347b82ae4
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spelling oai:doaj.org-article:ff56b1d8d5ba4d6686beae3347b82ae42021-11-18T00:04:03ZIntegrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells2169-353610.1109/ACCESS.2021.3125240https://doaj.org/article/ff56b1d8d5ba4d6686beae3347b82ae42021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9599655/https://doaj.org/toc/2169-3536We consider heterogeneous wireless networks in the physical interference model and introduce a new formulation of the mixed-integer nonlinear programming (MINLP) problem that addresses base-station activation and many-to-many associations while minimizing power consumption. This formulation is complete, in the sense not only of tackling activations and associations in an integrated manner, but also in that the decoding possibilities allowed in the physical interference model are fully taken into account. The formulation’s integralities and resulting non-differentiabilities are all left in place as well, so solving the MINLP problem calls for somewhat unorthodox methods. Thus, we also introduce HetNetGA, a genetic algorithm that can tackle the problem as it comes, without any approximations. Though unsuitable for practical deployment, HetNetGA enables the investigation of such networks’ true possibilities, allowing for insights that more practical approaches cannot offer. In fact, the results we give, for scenarios involving both macrocells and picocells, though often aligned with what is expected, are sometimes unexpected and essentially point to the need to better understand the role of macrocells in helping provide capacity while remaining energetically advantageous. This contrasts sharply with previous approaches, which typically always spot situations in which macrocells can be accommodated. We expect HetNetGA, with its inherent ability to lead to results such as these, to be useful in helping identify and mitigate similar issues.Raphael M. GuedesJose F. De RezendeValmir C. BarbosaIEEEarticleCapacity allocationheterogeneous wireless networksphysical interference modelpower optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149552-149559 (2021)
institution DOAJ
collection DOAJ
language EN
topic Capacity allocation
heterogeneous wireless networks
physical interference model
power optimization
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Capacity allocation
heterogeneous wireless networks
physical interference model
power optimization
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Raphael M. Guedes
Jose F. De Rezende
Valmir C. Barbosa
Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
description We consider heterogeneous wireless networks in the physical interference model and introduce a new formulation of the mixed-integer nonlinear programming (MINLP) problem that addresses base-station activation and many-to-many associations while minimizing power consumption. This formulation is complete, in the sense not only of tackling activations and associations in an integrated manner, but also in that the decoding possibilities allowed in the physical interference model are fully taken into account. The formulation’s integralities and resulting non-differentiabilities are all left in place as well, so solving the MINLP problem calls for somewhat unorthodox methods. Thus, we also introduce HetNetGA, a genetic algorithm that can tackle the problem as it comes, without any approximations. Though unsuitable for practical deployment, HetNetGA enables the investigation of such networks’ true possibilities, allowing for insights that more practical approaches cannot offer. In fact, the results we give, for scenarios involving both macrocells and picocells, though often aligned with what is expected, are sometimes unexpected and essentially point to the need to better understand the role of macrocells in helping provide capacity while remaining energetically advantageous. This contrasts sharply with previous approaches, which typically always spot situations in which macrocells can be accommodated. We expect HetNetGA, with its inherent ability to lead to results such as these, to be useful in helping identify and mitigate similar issues.
format article
author Raphael M. Guedes
Jose F. De Rezende
Valmir C. Barbosa
author_facet Raphael M. Guedes
Jose F. De Rezende
Valmir C. Barbosa
author_sort Raphael M. Guedes
title Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
title_short Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
title_full Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
title_fullStr Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
title_full_unstemmed Integrated Optimization of Heterogeneous-Network Management and the Elusive Role of Macrocells
title_sort integrated optimization of heterogeneous-network management and the elusive role of macrocells
publisher IEEE
publishDate 2021
url https://doaj.org/article/ff56b1d8d5ba4d6686beae3347b82ae4
work_keys_str_mv AT raphaelmguedes integratedoptimizationofheterogeneousnetworkmanagementandtheelusiveroleofmacrocells
AT josefderezende integratedoptimizationofheterogeneousnetworkmanagementandtheelusiveroleofmacrocells
AT valmircbarbosa integratedoptimizationofheterogeneousnetworkmanagementandtheelusiveroleofmacrocells
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