IEEE 802.11 graph models

[EN] There are several recent research lines addressing Wi-Fi network planning and optimiza-tion, both in terms of channel assignment and access point deployment. The problem with these works is that evaluation is usually performed with specific and closed models regarding signal prop-agation, throu...

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Detalles Bibliográficos
Autores: Gimenez-Guzman, Jose Manuel|||0000-0002-1645-8476, Marsa-Maestre, Ivan, Cruz-Piris, Luis, Orden, David, Tejedor-Romero, Marino
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/204932
Acceso en línea:https://riunet.upv.es/handle/10251/204932
Access Level:acceso abierto
Palabra clave:Wi-Fi networks
Graphs
Network modeling
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Descripción
Sumario:[EN] There are several recent research lines addressing Wi-Fi network planning and optimiza-tion, both in terms of channel assignment and access point deployment. The problem with these works is that evaluation is usually performed with specific and closed models regarding signal prop-agation, throughput computation, and utility definition. Also, many of the models in the literature make assumptions about the role of wireless stations, or the co-channel interference, which-while being valid in the context of a single research work-makes very difficult to compare different approaches, to re-use concepts from previous mechanisms to create new ones, or to generalize mechanisms to other scenarios. This makes the different research lines in Wi-Fi network planning and optimization progress in an isolated manner.This paper aims to address such a recurring problem by proposing a graph-based generic model for Wi-Fi utility computation in network planning scenarios, as well as providing a collection of scenario graphs which may be used to benchmark different planning and optimization approaches. Experiments are conducted to show the validity of the model and the significance of its features, along with its extensibility to other scenarios.