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Realistic Long Term Evolution Performance for Massive HeNB Residential Deployments

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Abstract

Nowadays, around 80 % of the mobile data traffic is generated indoors, and, therefore, in-building solutions are gaining interest among mobile operators, to improve user’s quality of experience and optimize the use of network resources. In this context, with IEEE 802.11 and 3G/HSPA femtocells competing as in-building solutions long term evolution has appeared to enable operators to meet growing data-rate demands, and it is expected to have a key role in future indoor deployments. In this paper, a complete analysis of the performance of in-building self-deployment LTE solutions is carried out, by means of system-level network simulations in multiple typical indoor scenarios. The variability of the performance due to aspects such as the arbitrary HeNB location, the penetration rate of the service, the neighboring effects of HeNB nodes, the frequency used and the interaction among LTE macrocells and femtocells are thoroughly studied and discussed. Besides that, mechanisms proposed in 3GPP Release 11 to mitigate performance degradation in high density HeNB deployments are presented and analyzed. With regard to these mechanisms, different configuration access modes control schemes to automatically select transmitted power and Intercell Interference Coordination Techniques (ICIC) have been considered, and their effect on the performance of HeNB in-building deployments have been assessed. The results obtained provide network designers and mobile operators with valuable information about the expected number of indoor users which can be served using HeNB networks and its variability under different network conditions. In addition to this, results presented are useful to define policies to select when mechanisms to mitigate performance degradation are required to be activated, depending on the type of deployment scenario, penetration rates, HeNB loads or operator prioritization requirements, and both select the ranges of the configurable parameters of these mechanisms, and HeNB default settings.

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Acknowledgments

The authors are thankful to the support of the Spanish Ministry of Science and Innovation within the projects IPT-2011-1272-430000, IPT-2011-1034-37000 and TEC2011-28683.

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Correspondence to Mariano Molina-Garcia.

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Molina-Garcia, M., Calle-Sanchez, J., Fernandez-Duran, A. et al. Realistic Long Term Evolution Performance for Massive HeNB Residential Deployments. Wireless Pers Commun 75, 1411–1445 (2014). https://doi.org/10.1007/s11277-013-1431-2

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Keywords

  • Indoor radio communications
  • Long-term evolution
  • HeNB
  • Optimization of 4G wireless networks