Outage probability in Poisson-cluster-based LTE two-tier femtocell networks

This paper analyzes two‐tier orthogonal frequency‐division multiplexing (OFDM)‐based cellular structure, when the traditional macrocell structure is extended with femtocells. The benefit of using femtocells is the capacity and coverage extension capability. To fulfill strict quality of service requi...

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Veröffentlicht in:Wireless communications and mobile computing 2015-12, Vol.15 (18), p.2179-2190
Hauptverfasser: Jakó, Zoltán, Jeney, Gábor
Format: Artikel
Sprache:eng
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Zusammenfassung:This paper analyzes two‐tier orthogonal frequency‐division multiplexing (OFDM)‐based cellular structure, when the traditional macrocell structure is extended with femtocells. The benefit of using femtocells is the capacity and coverage extension capability. To fulfill strict quality of service requirements in next‐generation mobile networks such as Long Term Evolution (LTE) or LTE‐Advanced, capacity and coverage enhancing becomes rather important. On the other hand, adding small cells such as femtocells next to macrocell modifies the interference pattern of the current region. Therefore, the number of small cells in a given area should be limited. In this paper, we provide an analytic framework to calculate the outage probability for a macrocell user in OFDM‐based femtocell networks when the deployed femto base stations are composing an independent Poisson cluster process such as Thomas cluster process. Cluster‐based femtocell modeling offers accurate network planning for mobile operators. In this cluster‐based realization, we give an interference characterization and consider the outage probability for a randomly deployed user when communication channel is infected with Rayleigh fading. Copyright © 2014 John Wiley & Sons, Ltd. This paper provides an analytic form to calculate the outage probability in a two‐tier Long Term Evolution cellular structure, when the traditional macrocell structure is extended with femtocells. The location of the femtocells is modelled with a Poisson cluster process (Thomas cluster). The analytic form is evaluated with the aid of stochastic geometry.
ISSN:1530-8669
1530-8677
DOI:10.1002/wcm.2485