System level analysis of heterogeneous networks under imperfect traffic hotspot localization
| Autor: | Aymen Jaziri, Tijani Chahed, Ridha Nasri |
|---|---|
| Přispěvatelé: | Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Orange Labs [Issy les Moulineaux], France Télécom, Centre National de la Recherche Scientifique (CNRS), Méthodes et modèles pour les réseaux (METHODES-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Computer Networks and Communications Computer science Distributed computing Aerospace Engineering Throughput 02 engineering and technology Computer Science - Networking and Internet Architecture Base station [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Macrocell Electrical and Electronic Engineering Networking and Internet Architecture (cs.NI) Queueing theory Static and dynamic system modeling and analysis Small-cell deployment Traffic hotspot 020206 networking & telecommunications 020302 automobile design & engineering Automotive Engineering Cellular network Resource allocation Heterogeneous networks Queuing theory with coupled servers Imperfect localization Heterogeneous network |
| Zdroj: | IEEE Transactions on Vehicular Technology IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2016, 65 (12), pp.9862-9872. ⟨10.1109/TVT.2016.2530844⟩ |
| ISSN: | 0018-9545 |
| DOI: | 10.1109/TVT.2016.2530844⟩ |
| Popis: | We study, in this paper, the impact of imperfect small cell positioning with respect to traffic hotspots in cellular networks. In order to derive the throughput distribution in macro and small cells, we firstly perform static level analysis of the system considering a non-uniform distribution of user locations. We secondly introduce the dynamics of the system, characterized by random arrivals and departures of users after a finite service duration, with the service rates and distribution of radio conditions outfitted from the first part of the work. When dealing with the dynamics of the system, macro and small cells are modeled by multi-class processor sharing queues. Macro and small cells are assumed to be operating in the same bandwidth. Consequently, they are coupled due to the mutual interferences generated by each cell to the other. We derive several performance metrics such as the mean flow throughput and the gain, if any, generated from deploying small cells to manage traffic hotspots. Our results show that in case the hotspot is near the macro BS (Base Station), even a perfect positioning of the small cell will not yield improved performance due to the high interference experienced at macro and small cell users. However, in case the hotspot is located far enough from the macro BS, performing errors in small cell positioning is tolerated (since related results show positive gains) and it is still beneficial in offloading traffic from the congested macrocell. The best performance metrics depend also on several other important factors such as the users' arrival intensity, the capacity of the cell and the size of the traffic hotspot. This paper is already published in IEEE Transactions on Vehicular Technology 2016 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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