Abstract

Despite integration of advanced functions that enable Femto Access Points (FAPs) to be deployed in a plug-and-play manner, the femtocell concept still cause several opened issues to be resolved. One of them represents an assignment of Physical Cell Identifiers (PCIs) to FAPs. This paper analyses a random based assignment algorithm in LTE systems operating in diverse femtocell scenarios. The performance of the algorithm is evaluated by comparing the number of confusions for various femtocell densities, PCI ranges and knowledge of vicinity. Simulation results show that better knowledge of vicinity can significantly reduce the number of confusions events.

Highlights

  • IntroductionBased on market investigations on mobile networks, more than 60 % of traffic (including both voice and data) is generated in indoors [1]

  • Based on market investigations on mobile networks, more than 60 % of traffic is generated in indoors [1]

  • We investigate an assignment of Physical Cell Identifiers (PCIs) to femtocells when using random algorithm

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Summary

Introduction

Based on market investigations on mobile networks, more than 60 % of traffic (including both voice and data) is generated in indoors [1]. Femtocells are small cells covered by inexpensive, low-power base stations that are, in general, deployed by customers themselves They are connected to mobile operator’s networks using either a wired or wireless backhaul; e.g., ADSL, optics, or WiMAX. The PCIs are used to identify cells, and as time and frequency reference It should be allocated in such a manner to avoid collision (i.e. the PCI is unique in the area that the cell covers) and confusion (i.e. a cell has no neighboring cells that have identical PCI) events. Number of these identifying signatures is not unlimited; there are 504 available PCIs in LTE/LTE-A networks [2].

Related Works
Simulation Model
Random Assignment Algorithm
Findings
Conclusion
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