Predictive Resource Allocation in Cellular Networks using Kalman Filters

Mounir Achir Yacine Ghamri-Doudane 1 Guy Pujolle 1
1 RP - Réseaux et Performance
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Controlling handoff drops in a cellular network is a very important QoS issue. In order to keep the handoff-dropping probability as low as possible, we have designed a new predictive scheme for radio resource allocation. This scheme consists in dimensioning the amount of resources to reserve for handoffs in each cell. The solution proposed is based on a reservation mechanism with a threshold estimated according to the usage history of the resources in the cell. This estimation is done using the Kalman filter, a powerful mathematical tool. Evaluation of the proposed scheme demonstrates a real improvement in the handoff-dropping probability compared to the static reservation scheme.
Type de document :
Communication dans un congrès
ICC'2003 - IEEE International Conference on Communications, May 2003, Anchorage, AK, United States. IEEE, ICC'2003 - IEEE International Conference on Communications, 2, pp.974-981, 〈10.1109/ICC.2003.1204493〉
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Contributeur : Lip6 Publications <>
Soumis le : jeudi 1 juin 2017 - 17:42:08
Dernière modification le : jeudi 21 mars 2019 - 13:05:10

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Mounir Achir, Yacine Ghamri-Doudane, Guy Pujolle. Predictive Resource Allocation in Cellular Networks using Kalman Filters. ICC'2003 - IEEE International Conference on Communications, May 2003, Anchorage, AK, United States. IEEE, ICC'2003 - IEEE International Conference on Communications, 2, pp.974-981, 〈10.1109/ICC.2003.1204493〉. 〈hal-01531535〉

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