Modeling and performance evaluation of the eICIC/ABS in H-CRAN

Hadjer Touati 1 H Castel-Taleb 2, 3 B Jouaber 4, 1 Sara Akbarzadeh 5 Ahlem Khlass 5
1 R3S-SAMOVAR - Réseaux, Systèmes, Services, Sécurité
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
3 METHODES-SAMOVAR - Méthodes et modèles pour les réseaux
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
Abstract : In this paper, we propose mathematical models to evaluate the performance of the interference remediation technique eICIC/ABS (enhanced Inter-Cell Interference Coordination / Almost Blank Sub-frame) in the context of Heterogeneous Cloud based Radio Access Networks (H-CRAN) architecture and 5G networks. The objective is to propose a dynamic resource management tool to ease decisions on the activation/deactivation of micro-cells as well as on the distributions of subframes among macro and micro cells. First, we propose a Markov chain based model that fits the behavior of the considered scheme and allows the analysis of the cell throughput according to traffic load, radio conditions and the distribution of available resources among macro and micro cells. Then, we propose an approximation model with a closed form formula. The two models are validated and evaluated in terms of accuracy and computation time. Numerical results are compared to matlab simulations that reproduce realistic radio conditions. Results show that both models are accurate. However, the closed form approximation is less complex and provides faster results.
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https://hal.archives-ouvertes.fr/hal-01785229
Contributor : Hadjer Touati <>
Submitted on : Friday, May 4, 2018 - 11:26:24 AM
Last modification on : Thursday, October 17, 2019 - 12:36:53 PM
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Hadjer Touati, H Castel-Taleb, B Jouaber, Sara Akbarzadeh, Ahlem Khlass. Modeling and performance evaluation of the eICIC/ABS in H-CRAN. Rencontres Francophones sur la Conception de Protocoles, l'Evaluation de Performance et l'Expérimentation des Réseaux de Communication, May 2018, Roscoff, France. ⟨hal-01785229⟩

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