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Pré-Publication, Document De Travail Année : 2014

Simplicial Homology for Future Cellular Networks

Résumé

Simplicial homology is a tool that provides a math- ematical way to compute the connectivity and the coverage of a cellular network without any node location information. In this article, we use simplicial homology in order to not only compute the topology of a cellular network, but also to discover the clusters of nodes still with no location information. We propose three algorithms for the management of future cellular networks. The first one is a frequency auto-planning algorithm for the self- configuration of future cellular networks. It aims at minimizing the number of planned frequencies while maximizing the usage of each one. Then, our energy conservation algorithm falls into the self-optimization feature of future cellular networks. It optimizes the energy consumption of the cellular network during off-peak hours while taking into account both coverage and user traffic. Finally, we present and discuss the performance of a disaster recovery algorithm using determinantal point processes to patch coverage holes.
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Dates et versions

hal-00914659 , version 1 (05-12-2013)
hal-00914659 , version 2 (21-03-2014)
hal-00914659 , version 3 (04-08-2014)
hal-00914659 , version 4 (11-09-2014)

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Anaïs Vergne, Laurent Decreusefond, Philippe Martins. Simplicial Homology for Future Cellular Networks. 2014. ⟨hal-00914659v3⟩
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