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Simplicial Homology for Future Cellular Networks

Abstract : Simplicial homology is a tool that provides a mathematical 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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Contributor : Anaïs Vergne <>
Submitted on : Thursday, September 11, 2014 - 3:22:56 PM
Last modification on : Thursday, October 15, 2020 - 11:25:16 PM
Long-term archiving on: : Friday, December 12, 2014 - 10:40:43 AM


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Anaïs Vergne, Laurent Decreusefond, Philippe Martins. Simplicial Homology for Future Cellular Networks. IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, 2014, pp.1-14. ⟨10.1109/TMC.2014.2360389⟩. ⟨hal-00914659v4⟩



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