Abstract
This paper describes a low computational complexity semi-deterministic Inter-Cell Interference (ICI) map construction procedure. The built Interference Map (IM) gives the ICI level at each pixel of a two-dimensional area, based on an initialization map and ICI levels measured by collaborative User Equipments (UEs). In a first step, the initialization map is obtained with an analytical location-dependent ICI prediction model based on the Poisson Point Process (PPP) framework, where a priori deterministic information about the indoor/outdoor UE status can be injected. The analytical interference map is then updated following a self-learning approach, after spatially interpolating the gap sensed by the UEs with respect to analytical predictions in their visited positions. Two conventional spatial interpolation techniques are thus considered under regular and irregular sensing grids: Inverse Distance Weighting (IDW) and kriging, where exponential and Von Kàrmàn variograms are used. In order to show the benefits of the IM initialization, the performance is compared to that of traditional approaches (i.e., direct spatial interpolation of the ICI measured values), while varying the density of sensing positions.
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Notes
- 1.
The so-called “convergence speed” is just intended here in terms of the overall amount of collected UE measurements, indifferently of their acquisition conditions (i.e., synchronous measurements at distributed static UEs, asynchronous measurements under UE(s) mobility).
- 2.
For straightforward mathematical analysis, the user is assumed to be located at the origin.
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Acknowledgement
The research leading to this paper has been supported by the Celtic-Plus project SHARING (project number C2012/1-8).
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kaddour, F.Z., Kténas, D., Denis, B. (2016). Sensing Based Semi-deterministic Inter-Cell Interference Map in Heterogeneous Networks. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_15
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