Mobility State Estimation in LTE

Majed Haddad 1 Dalia-Georgiana Herculea 2, 3, 4 Eitan Altman 5 Nidham Ben Rached 6 Véronique Capdevielle 6 Chung Shue Chen 3, 4 Frédéric Ratovelomanana 6
2 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, ENS Paris - École normale supérieure - Paris, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
5 MAESTRO - Models for the performance analysis and the control of networks
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Estimating mobile user speed is a problematic issue which has significant impacts to radio resource management and also to the mobility management of Long Term Evolution (LTE) networks. This paper introduces two algorithms that can estimate the speed of mobile user equipments (UE), with low computational requirement, and without modification of neither current user equipment nor 3GPP standard protocol. The proposed methods rely on uplink (UL) sounding reference signal (SRS) power measurements performed at the eNodeB (eNB) and remain efficient with large sampling period (e.g., 40 ms or beyond). We evaluate the effectiveness of our algorithms using realistic LTE system data provided by the eNB Layer1 team of Alcatel-Lucent. Results show that the classification of UE’s speed required by LTE can be achieved with high accuracy. In addition, they have minimal impact to the central processing unit (CPU) and the memory of eNB modem. We see that they are very practical to today’s LTE networks and would allow a continuous and real-time UE speed estimation.
Type de document :
Communication dans un congrès
IEEE Wireless Communications and Networking Conference, Apr 2016, Doha, Qatar. 10.1109/WCNC.2016.7564917. 〈10.1109/WCNC.2016.7564917〉
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Soumis le : vendredi 27 mai 2016 - 13:59:49
Dernière modification le : jeudi 11 janvier 2018 - 16:58:00
Document(s) archivé(s) le : dimanche 28 août 2016 - 10:24:08


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Majed Haddad, Dalia-Georgiana Herculea, Eitan Altman, Nidham Ben Rached, Véronique Capdevielle, et al.. Mobility State Estimation in LTE. IEEE Wireless Communications and Networking Conference, Apr 2016, Doha, Qatar. 10.1109/WCNC.2016.7564917. 〈10.1109/WCNC.2016.7564917〉. 〈hal-01291728〉



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