Spatial disparity of QoS metrics between base stations in wireless cellular networks
| Autor: | Bartlomiej Blaszczyszyn, Rita Ibrahim, Mohamed Kadhem Karray |
|---|---|
| Přispěvatelé: | Dynamics of Geometric Networks (DYOGENE), Département d'informatique de l'École normale supérieure (DI-ENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Orange Labs [Chatillon], Orange Labs, Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Département d'informatique - ENS Paris (DI-ENS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Queueing theory
Wireless cellular networks Computer science Quality of service Real-time computing 020302 automobile design & engineering 020206 networking & telecommunications Throughput 02 engineering and technology Base station [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0203 mechanical engineering Transmission (telecommunications) 0202 electrical engineering electronic engineering information engineering Computer Science::Networking and Internet Architecture Electrical and Electronic Engineering Focus (optics) Algorithm |
| Zdroj: | IEEE Transactions on Communications IEEE Transactions on Communications, Institute of Electrical and Electronics Engineers, 2016, 64 (10), pp.4381-4393. ⟨10.1109/TCOMM.2016.2600668⟩ IEEE Transactions on Communications, 2016, 64 (10), pp.4381-4393. ⟨10.1109/TCOMM.2016.2600668⟩ |
| ISSN: | 0090-6778 |
| Popis: | International audience; The main focus of this paper is to explicitly characterize the disparity of quality of service (QoS) metrics between base stations in large heterogeneous wireless cellular networks. The considered QoS metrics are cell load, users' number, and user throughput. The spatial disparity of these metrics is due to the irregularity of the cells' geometry. In order to consider these irregularities, we assume a Poisson point process of base station locations, random transmission powers, and log-normal shadowing. The interdependency between the performances of the base stations is characterized by a system of load equations. The typical cell simulation model consists in resolving this system in order to find the loads and then deduce the remaining characteristics for each cell of the network. Using stochastic geometric and queueing theoretic techniques, we define the QoS averages, variances, and distributions. Inspired by the analysis of the typical cell model, several investigations lead us to propose a fully analytic approach, called mean cell model, that approximates the averages, variances, and distributions of these QoS metrics. Numerical experiments show a good agreement between the proposed approximations, simulation results, and real-life network measurements. |
| Databáze: | OpenAIRE |
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