Realistic Long Term Evolution Performance for Massive HeNB Residential Deployments

  • Authors:
  • Mariano Molina-Garcia;Jaime Calle-Sanchez;Alfonso Fernandez-Duran;J. I. Alonso

  • Affiliations:
  • E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040;Alcatel-Lucent Spain, Madrid, Spain 28050;E.T.S.I. Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain 28040

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2014

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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.